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The U.S. Cybersecurity and Infrastructure Security Agency (CISA) is warning of a critical vulnerability in multiple Honeywell CCTV products that allows unauthorized access to feeds or account hijacking. [...]

AI assistants like Grok and Microsoft Copilot with web browsing and URL-fetching capabilities can be abused to intermediate command-and-control (C2) activity. [...]

>More than half of the software purchased by companies today could eventually be replaced by AI, Mistral AI CEO Arthur Mensch said in an interview with CNBC. The statement comes at a time when software stocks are under pressure due to concerns that AI will undermine SaaS business models.

According to Mensch, a major shift is already happening, with companies increasingly choosing to build their own AI-based applications instead of purchasing traditional SaaS services. He estimated that more than 50% of today’s SaaS spending could shift to AI solutions.

“We are also seeing with our customers that we can create fully customized applications within a few days to run a workflow — for example, a purchasing workflow or supply chain workflows — in a way that, five years ago, would have required a vertical SaaS solution,” Mensch said. “This platform change is a great opportunity for us, as we now have more than 100 corporate customers who are also turning to us with a desire to perhaps change and modernize their IT systems — for example, getting rid of things they bought 20 years ago and which are starting to become quite expensive.”

Even so, Mensch believes that basic business systems that store and structure company data will remain in place and become an important basis for AI applications.

Mistral AI recently purchased Koyeb, a Paris-based cloud startup.

In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud.

A lot has gone down since 2019, and Gartner’s latest guidance on the topic comes from John-David Lovelock, vice president analyst,who says, “It’s not as though the data center is going away. The enterprise data center is here to stay. There’s still enough spending by enterprises on servers, licensed software, and the skill sets they need to maintain and operate the environment that currently exists.”

Continue reading on CIO.com

New research from the Citizen Lab has found signs that Kenyan authorities used a commercial forensic extraction tool manufactured by Israeli company Cellebrite to break into a prominent dissident's phone, making it the latest case of abuse of the technology targeting civil society. The interdisciplinary research unit at the University of Toronto's Munk School of Global Affairs & Public Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

IT admins and decision-makers take note: Apple has confirmed it will terminate Rosetta support for Intel-based apps starting with macOS 28 in 2027. That means any remaining Intel apps your company relies on must be replaced to maintain business continuity and security. It’s also important to note that macOS 26 will be the last OS upgrade to support any existing Intel-based Macs, so both Intel-based Macs and apps should now be replaced to avoid problems down the road.

Rosetta has enabled Apple Silicon Macs to run Intel-based apps during the transition to Apple’s own chips. This was useful when the first M-series Macs appeared, as it enabled us to continue running most Intel-based apps, giving developers time to create updated versions — something most good developers have done, at least in the retail section of the app economy.

However, some businesses might still depend on proprietary software that hasn’t been updated. The good news is there are still 12 to 18 months to revise or replace these apps and upgrade any remaining Intel-based Macs. Apple is making a couple of exceptions. It will continue to provide security updates for some Mac models for another two years after support ends; and Rosetta functionality will be available only for certain older, unmaintained games that rely on Intel-based frameworks with macOS 28. 

A long time coming

Apple seems to have been quite reasonable in its support plans. The first Apple Silicon Macs appeared six years ago in late 2020, which means the company continued to support Intel Macs for six more years. When it comes to application support, Apple’s move means developers will have enjoyed seven years during which they could have made the transition. This was all perfectly predictable and the company has made every attempt to warn developers and customers of its intentions.

The number of affected Macs and applications is likely to be small, as Apple Silicon Macs are selling in vast quantities. Mac market share continues to increase and Macs now dominate the AI PC market, with perhaps a 54% share of all AI-capable computers.

The urgent and visible drive to Apple Silicon has not escaped the attention of developers, most of whom have now made the transition. Still, some edge cases remain; those users should take steps now to protect themselves as the support windows close.

So, are you running any Intel apps?

Are you concerned that you or your company may be affected by this switch? Rather than checking each one individually, the easiest way to identify any Intel-based apps running on your Mac is as follows:

• Open System Information (Option+Apple Menu > System Information).
• Select Applications under Software.
• Explore the Kind column to identify any apps marked as being Intel. 
• Apps marked as Apple Silicon or Universal will continue to work fine — it’s only the Intel apps that need to be replaced.

If you manage a fleet of devices using Mobile Device Management (MDM) software such as Jamf Pro, you will use commands such as mdfind, or third-party tools such as those from iMazing to identify any apps that need replacing. 

Time to hit the switch

If we’re honest, Apple’s decision to force the final few customers who have not yet upgraded to Apple Silicon is a good one. Apple’s newest Macs have been universally praised for their price, performance, resilience, computational power, and more. They perform significantly better than the Intel Macs they replaced, and the next-generation M5 Macs now coming on stream offer ample performance and productivity benefits.

While it might be different for proprietary applications, most commercial apps that haven’t yet been updated to work natively on Apple Silicon probably never will be, so it makes complete sense to migrate to other solutions. Decision makers should also use the termination of support for Intel as an argument to secure additional budget to have those pesky proprietary apps updated.

With just months to go before Apple completely abandons Intel support, there is no time left for further prevarication. It is time to invest in Apple Silicon.

You can follow me on social media! Join me on BlueSky,  LinkedIn, and Mastodon.

Cybersecurity researchers have disclosed a critical security flaw in the Grandstream GXP1600 series of VoIP phones that could allow an attacker to seize control of susceptible devices. The vulnerability, tracked as CVE-2026-2329, carries a CVSS score of 9.3 out of a maximum of 10.0. It has been described as a case of unauthenticated stack-based buffer overflow that could result in remote code Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Underground Telegram channels shared SmarterMail exploit PoCs and stolen admin credentials within days of disclosure. Flare explains how monitoring these communities reveals rapid weaponization of CVE-2026-24423 and CVE-2026-23760 tied to ransomware activity. [...]

Microsoft says an Exchange Online issue that mistakenly quarantined legitimate emails last week was triggered by faulty heuristic detection rules designed to block credential phishing campaigns. [...]

Over the next few years, agentic AI is expected to bring not only rapid technological breakthroughs, but a societal transformation, redefining how we live, work and interact with the world. And this shift is happening quickly. “By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously,” according to research firm Gartner.

Unlike traditional AI, which typically follows preset rules or algorithms, agentic AI adapts to new situations, learns from experiences, and operates independently to pursue goals without human intervention. In short, agentic AI empowers systems to act autonomously, making decisions and executing tasks — even communicating directly with other AI agents — with little or no human involvement.

Agentic AI will enable machines to interact with the physical world with unprecedented intelligence, allowing them to perform complex tasks in dynamic environments, which could be especially useful for industries facing labor shortages or hazardous conditions.However, the rise of agentic AI also brings security and ethical concerns. Ensuring these autonomous systems operate safely, transparently and responsibly will require governance frameworks and testing.

Follow this page for ongoing agentic AI coverage from Computerworld and Foundry’s other publications.

Agentic AI news and insights Why most agentic AI projects stall before they scale

February 18, 2026: As enterprises race from pilots to autonomous systems, rising costs, fragile governance, and unrealistic expectations are forcing a reckoning. So what separates agentic AI initiatives that survive from those that quietly shut down?

How agentic AI helps prospective and existing students at DeVry

February 18, 2026: DeVry is no stranger to AI. It’s used the technology in its classrooms for 10 years and started experimenting with NLP bots and gen AI use cases for internal use as soon as it became widely available. So in April 2025, Devry University deployed its first AI agent.

Task management software gets an agentic boost

February 11, 2026: Task management apps aren’t just for storing and tracking data — they act on it. Explore tools that tap AI to auto-generate workflows, balance team capacity, and eliminate administrative overhead.

OpenClaw: The AI agent that’s got humans taking orders from bots

February 6, 2026: How one man’s vibe-coding session evolved into a reckless global AI experiment where nobody’s accountable.

Forward Networks launches agentic AI system built on network digital twin

January 30, 2026: The new Forward AI capability builds on the vendor’s digital twin and is designed to allow network teams to ask complex questions, understand network behavior, validate outcomes and safely automate workflows.

Agentic AI exposes what we’re doing wrong

January 23, 2026: Agentic AI has changed cloud computing, but not in the way the hype machine wants you to believe. It hasn’t magically replaced engineering, nor has it made architecture irrelevant. 

How to get your enterprise architecture ready for agentic AI

January 22, 2026: While C-suite leaders say they’re investing in agentic AI, the complex enterprise architectures of large organizations often struggle with the tech’s demands.

IBM targets agentic AI scale-up with new Enterprise Advantage consulting service

January 20, 2026: IBM has launched a new consulting service named Enterprise Advantage, designed to help CIOs take their agentic and other AI applications from experimentation to large-scale production.

EY exec: If you think agentic AI is a challenge, you’re not ready for what’s coming

January 15, 2026: Companies struggling to keep up with the arrival of AI agents should buckle up: Even more complicated agentic AI technologies are quickly coming down the pike. That includes physical AI, which includes robots and quantum computing.

Managing agentic AI risk: Lessons from the OWASP Top 10

December 19, 2025: LLM-powered chatbots have risks that we see playing out in the headlines on a nearly daily basis. But chatbots are limited to answering questions. AI agents, however, access data and tools and carry out tasks, making them infinitely more capable – and more dangerous to enterprises.

Agentic AI in 2026: More mixed than mainstream

December 18, 2025: Agentic AI is having its everything, everywhere, all at once moment. Or is it? Data clarifies. While 39% of organizations surveyed by McKinsey say they are experimenting with agents, only 23% have begun scaling AI agents within one business function

Overcome governance and trust issues to drive agentic AI

December 18, 2025: Fully autonomous agentic AI is still way off but AI agents are making inroads within enterprise software and workflows. Gartner predicts 40% of enterprise software will feature task-specific AI agents by the end of 2026 as the current trend for embedded AI assistants evolves.

Nvidia bets on open infrastructure for the agentic AI era with Nemotron 3

Decenber 15, 2025: AI agents must be able to cooperate, coordinate, and execute across large contexts and long time periods, and this, says Nvidia, demands a new type of infrastructure, one that is open. The company says it has the answer with its new Nemotron 3 family of open models.

Microsoft drops M365 Copilot price for SMBs, upgrades free Copilot Chat

November 19, 2025: Microsoft announced that it reduce the price of Microsoft 365 Copilot for small and mid-sized firms beginning next month. Microsoft 365 Copilot for Business will cost $21 per user, per month for customers with any Microsoft 365 Business plan. That’s down from the current $30 monthly price.

Microsoft Fabric IQ adds ‘semantic intelligence’ layer to Fabric

November 19, 2025: Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, but analysts fear deployment hurdles and vendor lock-in.

Microsoft unveils Agent 365 to help IT manage AI ‘agent sprawl’

November 18, 2025: As businesses begin deploying AI agents in greater numbers, IT teams will need to manage and secure those AI systems as they connect to corporate data. That’s the idea behind Microsoft’s Agent 365 (A365), a new “control plane” that lets customers deploy and govern the use of agents. 

From chatbots to colleagues: How agentic AI is redefining enterprise automation

November 17, 2025: A new wave of agentic AI is taking shape: systems that not only converse but also reason, plan, and act within enterprise workflows. These agents are not assistants that talk; they are digital colleagues that think.

The enterprise IT overhaul: Architecting your stack for the agentic AI era

November 10, 2025: For the CIO, the conversation has officially moved past the large language model (LLM). The next critical chapter is agentic AI — autonomous systems capable of reasoning, planning and executing multi-step tasks across your enterprise. Agentic AI is here. Now, CIOs must orchestrate

October 23, 2025: Agentic AI is about to change how companies create value. Yet, most enterprises aren’t ready. The problem isn’t the technology — it’s the planning and execution. Too many pilots stall out because CIOs haven’t built the AI systems, guardrails and culture to move beyond experiments.

AI agents might smooth some of retail’s worst data problems

October 21, 2025: So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference? Can it do the same for other verticals?

The impact of agentic AI on SaaS and partner ecosystems

October 16, 2025: The enterprise technology landscape is entering a critical pivot point as agentic AI transforms partner ecosystems from human-mediated, application integration networks into autonomous, self-orchestrating and intelligent ecosystems.

Salesforce updates its agentic AI pitch with Agentforce 360

October 13 2025: Salesforce announced a new release of Agentforce that, it says, “gives teams the fastest path from AI prototypes to production-scale agents” — although with many of the new release’s features still to come, or yet to enter pilot phases or beta testing, some parts of that path will be much slower than others.

Gemini Enterprise is Google’s new ‘front door’ for agentic AI access at work

October 9, 2025: Google introduced an AI assistant to serve as a platform so users can access and coordinate AI agents that automate work tasks. Gemini Enterprise, which replaces the Agentspace app launched last year, also features new enterprise search functions to help customers tap into data from across an organization’s business apps. 

Oracle’s agentic AI push in Fusion Cloud CX offers embedded automation for CX leaders

October 7, 2025: Oracle is adding new pre-built agents to its Advertising and Customer Experience Cloud (Fusion Cloud CX) to help enterprises increase operational efficiency by automating sales, service, and marketing processes.

IBM touts agentic AI orchestration, cryptographic risk controls

October 7, 2025: IBM watsonx Orchestrate offers more than 500 tools and customizable, domain-specific agents from IBM and third-party contributors. Among the additions to watsonx Orchestrate are AgentOps capabilities that offer real-time monitoring and policy-based controls for observability and governance.

How self-learning AI agents will reshape operational workflows

October 6, 2025: Google’s recent whitepaper, “Welcome to the Era of Experience,” signals a shift in the way AI agents are trained. Google hypothesizes that allowing AI agents to learn from the experience of agents rather than solely from human-generated training data will enable autonomous AI to surpass its current capabilities.

Are your agentic AI projects driving toward success?

October 3, 2025: Anushree Verma, Gartner senior director analyst, says most agentic AI projects today are early-stage experiments or proofs of concept, fueled primarily by hype and often misapplied.

Microsoft unveils framework for building agentic AI apps

October 3. 2025: Microsoft has introduced the Microsoft Agent Framework, an open-source SDK and runtime for building, orchestrating, and deploying AI agents and multi-agent workflows, with full framework support for .NET and Python.

Salesforce Trusted AI Foundation seeks to power the agentic enterprise

October 2, 2025: As Salesforce pushes further into agentic AI, its aim is to evolve Salesforce Platform from an application for building AI to a foundational operating system for enterprise AI ecosystems. 

ServiceNow’s AI Experience is an agentic AI UI for the Now Platform

September 30, 2025: ServiceNow today launched the AI Experience (AIx), a contextually aware multimodal AI-driven use UI for its Now platform. Building on the ServiceNow AI Platform and with a foundation in Now Assist, the company describes it as “a unified, conversational front door to enterprise AI.”

How MCP is making AI agents actually do things in the real world

September 29, 2025: You’ve seen them: Those incredible large language models (LLMs) that can chat, write and even generate code. They’ve revolutionized how we interact with technology, but there’s a new, even more exciting chapter unfolding. Discover how MCP is turning chatbots into doers, and the future of work may never look the same.

Agentic AI in IT security: Where expectations meet reality

September 29, 2025: Agentic AI has shifted from lab demos to real-world SOC deployments. Unlike traditional automation scripts, software agents are designed to act on signals and execute security workflows intelligently, correlating logs, enriching alerts, and even take first-line containment actions.

Walmart looks to cash in on agentic AI

September 19, 2025: Walmart doesn’t intend to lose its retail crown anytime soon. And, according to US EVP and CTO Hari Vasudev, the $815B company’s artificial intelligence strategy will play a key role in preventing that from happening.

5 steps for deploying agentic AI red teaming

September 17, 2025: As more enterprises deploy agentic AI applications, the potential attack surface increases in complexity and reach. But there is still hope that AI agents can be harnessed for defensive purposes too, including using traditional red teaming and penetration testing techniques but updated for the AI world.

Google unveils payments protocol for AI agents with major financial firms

September 17. 2025: Google has introduced the Agent Payments Protocol (AP2), an open framework developed with more than 60 payments and technology companies to support secure, agent-led transactions across platforms and payment methods.

CrowdStrike bets big on agentic AI with new offerings after $290M Onum buy

September 16, 2025: At its Fal.Con conference, the cybersecurity giant launched its Agentic Security Platform and Agentic Security Workforce, aiming to outpace AI-driven adversaries with real-time intelligence, automation, and a common language for defense.

Adobe makes Agent Orchestrator and AI agents generally available

September 10, 2025: Adobe Experience Platform (AEP) Agent Orchestrator and six new AI agents are designed to build, deliver, and optimize customer experience and marketing campaigns. The company also announced Experience Platform Agent Composer for customizing and configuring AI agents based on brand guidelines and organizational policy.

Rethinking the IT organization for the agentic AI era

September 2, 2025: With the advent of agentic AI, CIOs must be poised to adjust strategic IT priorities, mitigate new security risks, and reskill staff for a new era.

How to build a production-grade agentic AI platform

September 2, 2025: Modular orchestration, fail-safe design, hybrid memory management, and LLM integration with domain knowledge are essential to agentic AI systems that reason, act, and adapt at scale.

Agentic AI: A CISO’s security nightmare in the making?

September 2, 2025: Enterprises will no doubt be using agentic AI for a growing number of workflows and processes, including software development, customer support automation, and more. But what are the cybersecurity risks of agentic AI, and how much more work will it take for them to support their organizations’ agentic AI dreams?

Microsoft researchers develop new tech for video AI agents

September 2, 2025: Microsoft researchers are developing technologies for a new class of video AI agents to explore three-dimensional spaces before making decisions.The technology framework, called MindJourney, uses a range of AI technologies to understand and analyze 3D spaces, reason about the surroundings, and predict movement

Salesforce AI Research unveils new tools for AI agents

August 27, 2025: Salesforce announced a simulated enterprise environment, benchmark, and account data unification tool that are designed to help customers transform into agentic AI enterprises.

Agentic AI promises a cybersecurity revolution — with asterisks

August 18, 2025: The hottest topic at this year’s Black Hat conference was the meteoric emergence of AI tools for both cyber adversaries and defenders, particularly the use of agentic AI to strengthen cybersecurity programs.

4 thoughts on who should manage AI agents

August 11, 2025: As AI agents proliferate, we need to turn our attention beyond AI agent builder platforms to AI orchestration and AI GRC platforms. It also raises questions about which groups within the enterprise should manage AI agents and how they should be treated.

How bright are AI agents? Not very, recent reports suggest

July 31, 2025: Security researchers are adding more weight to a truth that infosec pros had already grasped: AI agents are not very bright, and are easily tricked into doing stupid or dangerous things

Will AI agents eat the SaaS market? Experts are split

July 31,2025: As hype about AI agents reaches new heights, an emerging theory suggests that the groundbreaking AI tools will kill the SaaS business model. The claim isn’t particularly new, but is resurfacing, with people like Microsoft CEO Satya Nadella voicing this position. 

How agentic AI will change database management

July 28, 2025: Generative AI has already had a profound impact on the world of database management. And now, thanks to AI’s knack for pattern-recognition, teams can use generative AI to analyze data sets, detect anomalies, and access invaluable insights with record speed and precision. 

As AI agents go mainstream, companies lean into confidential computing for data security

July 21, 2025: Companies need to stop ignoring data security as AI agents take over internal data movement in IT environments, analysts and IT execs warn. To address that issue, some tech players are embracing the concept of “confidential computing.” While it’s existed for years, it;s now finding new life with the rise of genAI.

How agentic AI will transform mobile apps and field operations

July 15, 2015: Agentic AI will usher in new mobile AI experiences. Construction, manufacturing, healthcare, and other industries with significant field operations will benefit from mobile AI agents and the resulting operational agility. 

MCP is fueling agentic AI — and introducing new security risks

July 10, 2025: Model Context Protocol (MCP) has caught fire, with several thousand MCP servers now available from a wide range of vendors enabling AI assistants to connect to their data and services. And with agentic AI increasingly seen as the future of IT, MCP will only grow in use in the enterprise. But innovations like MCP also come with significant security risks.

3 industries where agentic AI is poised to make its mark

July 4, 2024:  IT leaders from finance, retail, and healthcare lend insights into what organizations are doing with AI agents today — and where they see the technology taking their organizations and industries in the future.

IFS rolls TheLoops agentic AI into industrial ERP

June 27, 2025: IFS is adding AI agent development and management capabilities to its ERP platform with the acquisition of software startup The acquisition brings TheLoops’ full Agent Development life cycle (ADLC) platform into IFS, enabling enterprises to design, test, deploy, monitor, and fine-tune AI agents with built-in support for versioning, compliance, and performance optimization.

How AI agents and agentic AI differ from each other

June 12, 2025: With agentic AI in its infancy and organizations rushing to adopt AI agents, there seems to be confusion about the difference between “agentic AI” and “AI agents” technologies, but experts say there’s growing understanding that the two are separate, but related, tools.

The future of RPA ties to AI agents

June 10, 2025: RPA is accelerating toward a crossroads, with IT leaders and experts debating its future. Some IT leaders say that more powerful and autonomous AI agents will replace the two-decade-old AI precursor technology, while others predict that AI agents and RPA will work hand-in-hand.

MCP is enabling agentic AI, but how secure is it?

June 2, 2025: Model context protocol (MCP) is becoming the plug-and-play standard for agentic AI apps to pull in data in real time from multiple sources. However, this also makes it more attractive for malicious actors looking to exploit weaknesses in how MCP has been deployed. 

The agentic AI assist Stanford University cancer care staff needed

May 30, 2025: At Microsoft Build 2025 earlier this month, Nigam Shah, CDO for Stanford Health Care, discussed agentic AI’s ability to redefine healthcare, especially in oncology, as physicians get overloaded with the administrative tasks of medicine, he said, which lead to burnout.

Agentic AI, LLMs and standards big focus of Red Hat Summit

May 26, 2025: Red Hat, announced a number of improvements in its core enterprise Linux product, including better security, better support for containers, better support for edge devices. But the one topic that dominated the conversation was AI.

Putting agentic AI to work in Firebase Studio

May 21, 2025: Putting agentic AI to work in software engineering can be done in a variety of ways. Some agents work independently of the developer’s environment, working essentially like a remote developer. Other agents directly within a developer’s own environment. Google’s Firebase Studio is an example of the latter, drawing on Google’s Gemini LLM o help developers prototype and build applications .

Why is Microsoft offering to turn websites into AI apps with NLWeb?

May 20. 2025: NLWeb, short for Natural Language Web, is designed to help enterprises build a natural language interface for their websites using the model of their choice and data to answer user queries about the contents of the website. Microsoft hopes to stake its claim on the agentic web before rivals Google and Amazon do.

Databricks to acquire open-source database startup Neon to build the next wave of AI agents

May 14, 2025: Agentic AI requires a new type of architecture because traditional workflows create gridlock, dragging down speed and performance. To get ahead in this next generation of app building, Databricks announced it will purchase Neon, an open-source serverless Postgres company.

Agentic mesh: The future of enterprise agent ecosystems

May 13, 2025: Nvidia CEO Jensen Huang predicts we’ll soon see “a couple of hundred million digital agents” inside the enterprise. Microsoft CEO Satya Nadella takes it even further: “Agents will replace all software.”

Google to unveil AI agent for developers at I/O, expand Gemini integration

May 13, 2025: Google is expected to unveil a new AI agent aimed at helping software developers manage tasks across the coding lifecycle, including task execution and documentation. The tool has reportedly been demonstrated to employees and select external developers ahead of the company’s annual I/O conference.

Nvidia, ServiceNow engineer open-source model to create AI agents

May 6, 2025: Nvidia and ServiceNow have created an AI model that can help companies create learning AI agents to automate corporate workloads. The open-source Apriel model, available generally in the second quarter on HuggingFace, will help create AI agents that can make decisions around IT, human resources and customer-service functions.

How IT leaders use agentic AI for business workflows

April 30, 2025: Jay Upchurch, CIO at SAS, backs agentic AI to enhance sales, marketing, IT, and HR motions. “Agentic AI can make sales more effective by handling lead scoring, assisting with customer segmentation, and optimizing targeted outreach,” he says.

Microsoft sees AI agents shaking up org charts, eliminating traditional functions

April 28, 2025: As companies increasingly automate work processes using agents, traditional functions such as finance, marketing, and engineering may fall away, giving rise to an ‘agent boss’ era of delegation and orchestration of myriad bots.

Cisco automates AI-driven security across enterprise networks

April 28, 2025: Cisco announced a range of AI-driven security enhancements, including improved threat detection and response capabilities in Cisco XDR and Splunk Security, new AI agents, and integration between Cisco’s AI Defense platform and ServiceNow SecOps.

Hype versus execution in agentic AI

April 25, 2025: Agentic AI promises autonomous systems capable of reasoning, making decisions, and dynamically adapting to changing conditions. The allure lies in machines operating independently, free of human intervention, streamlining processes and enhancing efficiency at unprecedented scales. But David Linthicum writes, don’t be swept up by ambitious promises. 

Agents are here — but can you see what they’re doing?

April 23, 2025: As the agentic AI models powering individual agents get smarter, the use cases for agentic AI systems get more ambitious — and the risks posed by these systems increase exponentially.A multicloud experiment in agentic AI: Lessons learned

Agentic AI might soon get into cryptocurrency trading — what could possibly go wron

April 15, 2025: Agentic AI promises to simplify complex tasks such as crypto trading or managing digital assets by automating decisions, enhancing accessibility, and masking technical complexity.

Agentic AI is both boon and bane for security pros

April 15, 2025: Cybersecurity is at a crossroads with agentic AI. It’s a powerful tool that can create reams of code in a blink of an eye, find and defuse threats, and be used so decisively and defensively. This has proved to be a huge force multiplier and productivity boon. But while powerful, agentic AI isn’t dependable, and that is the conundrum. 

AI agents vs. agentic AI: What do enterprises want?

April 15, 2025:  Now that this AI agent story has morphed into “agentic AI,” it seems to have taken on the same big-cloud-AI flavor that enteriprise already rejected. What do they want from AI agents, why is “agentic” thinking wrong, and where is this all headed?

A multicloud experiment in agentic AI: Lessons learned

April 11, 2025: Turns out you really can build a decentralized AI system that operates successfully across multiple public cloud providers. It’s both challenging and costly.

Google adds open source framework for building agents to Vertex AI

April 9, 2025: Google is adding a new open source framework for building agents to its AI and machine learning platform Vertex AI, along with other updates to help deploy and maintain these agents. The open source Agent Development Kit (ADK) will make it possible to build an AI agent in under 100 lines of Python code. It expects to add support for more languages later this year.

Google’s Agent2Agent open protocol aims to connect disparate agents

April 9, 2025: Google has taken the covers off a new open protocol — Agent2Agent (A2A) — that aims to connect agents across disparate ecosystems.. At its annual Cloud Next conference, Google said that the A2A protocol will enable enterprises to adopt agents more readily as it bypasses the challenge of agents that are built on different vendor ecosystems not being able to communicate with each other.

Riverbed bolsters AIOps platform with predictive and agentic AI

April 8, 2025: Riverbed unveiled updates to its AIOps and observability platform that the company says will transform how IT organizations manage complex distributed infrastructure and data more efficiently. Expanded AI capabilities are aimed at making it easier to manage AIOps and enabling IT organizations to transition from reactive to predictive IT operations.

Microsoft’s newest AI agents can detail how they reason

March 26, 2025: If you’re wondering how AI agents work, Microsoft’s new Copilot AI agents provide real-time answers on how data is being analyzed and sourced to reach results. The Researcher and Analyst agents take a deeper look at data sources such as email, chat or databases within an organization to produce research reports, analyze strategies, or convert raw information into meaningful data.

Microsoft launches AI agents to automate cybersecurity amid rising threats

March 26, 2025: Microsoft has introduced a new set of AI agents for its Security Copilot platform, designed to automate key cybersecurity functions as organizations face increasingly complex and fast-moving digital threats. The new tools focus on tasks such as phishing detection, data protection, and identity management.

How AI agents work

March 24, 2025: By leveraging technologies such as machine learning, natural language processing (NLP), and contextual understanding, AI agents can operate independently, even partnering with other agents to perform complex tasks.

5 top business use cases for AI agents

March 19, 2025: AI agents are poised to transform the enterprise, from automating mundane tasks to driving customer service and innovation. But having strong guardrails in place will be key to success.

Nvidia launches AgentIQ toolkit to connect disparate AI agents

March 21, 2025: As enterprises look to adopt agents and agentic AI to boost the efficiency of their applications, Nvidia this week introduced a new open-source software library — AgentIQ toolkit — to help developers connect disparate agents and agent frameworks..

Deloitte unveils agentic AI platform

March 18, 2025: At Nvidia GTC 2025 in San Jose, Deloitte announced Zora AI, a new agentic AI platform that offers a portfolio of AI agents for finance, human capital, supply chain, procurement, sales and marketing, and customer service.The platform draws on Deloitte’s experience from its technology, risk, tax, and audit businesses, and is integrated with all major enterprise software platforms. 

The dawn of agentic AI: Are we ready for autonomous technology?

March 15, 2025: Much of the AI work prior has focused on large language models (LLMs) with a goal to give prompts to get knowledge out of the unstructured data. So it’s a question-and-answer process. Agentic AI goes beyond that. You can give it a task that might involve a complex set of steps that can change each time.

How to know a business process is ripe for agentic AI

March 11, 2025: Deloitte predicts that in 2025, 25% of companies that use generative AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027. The firm says some agentic AI applications, in some industries and for some use cases, could see actual adoption into existing workflows this year.

With new division, AWS bets big on agentic AI automation

March 6, 2025: Amazon Web Services customers can expect to hear a lot more about agentic AI from AWS in future with the news that the company is setting up a dedicated unit to promote the technology on its platform.

How agentic AI makes decisions and solves problems

March 6, 2025: GenAI’s latest big step forward has been the arrival of autonomous AI agents. Agentic AI is based on AI-enabled applications capable of perceiving their environment, making decisions, and taking actions to achieve specific goals. 

CIOs are bullish on AI agents. IT employees? Not so much

Feb. 4, 2025: Most CIOs and CTOs are bullish on agentic AI, believing the emerging technology will soon become essential to their enterprises, but lower-level IT pros who will be tasked with implementing agents have serious doubts.

The next AI wave — agents — should come with warning labels. Is now the right time to invest in them?

Jan.13, 2025: The next wave of artificial intelligence (AI) adoption is already under way, as AI agents — AI applications that can function independently and execute complex workflows with minimal or limited direct human oversight — are being rolled out across the tech industry.

AI agents are unlike any technology ever

Dec. 1, 2024: The agents are coming, and they represent a fundamental shift in the role artificial intelligence plays in businesses, governments, and our lives.

AI agents are coming to work — here’s what businesses need to know

Nov. 21, 2024: AI agents will soon be everywhere, automating complex business processes and taking care of mundane tasks for workers — at least that’s the claim of various software vendors that are quickly adding intelligent bots to a wide range of work apps.

Agentic AI swarms are headed your way

November 1, 2024: OpenAI launched an experimental framework called Swarm. It’s a “lightweight” system for the development of agentic AI swarms, which are networks of autonomous AI agents able to work together to handle complex tasks without human intervention, according to OpenAI. 

Is now the right time to invest in implementing agentic AI?

October 31, 2024: While software vendors say their current agentic AI-based offerings are easy to implement, analysts say that’s far from the truth.

Hackers have stolen the personal and contact information of nearly 1 million accounts after breaching the systems of Figure Technology Solutions, a self-described blockchain-native financial technology company. [...]

Cybersecurity researchers have disclosed multiple security vulnerabilities in four popular Microsoft Visual Studio Code (VS Code) extensions that, if successfully exploited, could allow threat actors to steal local files and execute code remotely. The extensions, which have been collectively installed more than 125 million times, are Live Server, Code Runner, Markdown Preview Enhanced, and Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Microsoft says a Microsoft 365 Copilot bug has been causing the AI assistant to summarize confidential emails since late January, bypassing data loss prevention (DLP) policies that organizations rely on to protect sensitive information. [...]

In 2025, navigating the digital seas still felt like a matter of direction. Organizations charted routes, watched the horizon, and adjusted course to reach safe harbors of resilience, trust, and compliance. In 2026, the seas are no longer calm between storms. Cybersecurity now unfolds in a state of continuous atmospheric instability: AI-driven threats that adapt in real time, expanding [email protected]

Mistral AI has acquired Paris-based cloud startup Koyeb, marking the model-maker’s first acquisition and entry into the enterprise infrastructure market.

This suggests a strategic shift for the French company, which has built its reputation on frontier models but is now investing heavily in compute capabilities and expanded deployment options.

The acquisition folds Koyeb’s serverless deployment platform into Mistral Compute, the company’s AI cloud offering launched last year, as Mistral shapes up to be a sovereign European alternative for enterprises running AI workloads at scale. Mistral has been betting on its “open weight” large language models as a point of differentiation. In a recent interview with Bloomberg, Mistral CEO Arthur Mensch said Europe is betting “actively and heavily” on open source.

Mistral recently pledged to invest 1.2 billion euros in AI data center infrastructure in Sweden, underscoring its broader push into compute and digital infrastructure.

In a LinkedIn post, the company said the move “strengthens our Compute capabilities and accelerates our mission to build a full-stack AI champion.”

The move also signals a wider market trend of model providers racing to control more of the stack, from infrastructure and inference to deployment and optimization, to lock in enterprise customers and capture higher margins.

For enterprise IT leaders, the question is whether this marks the emergence of a viable alternative to US cloud giants for AI workloads, or simply a tighter vertical integration play aimed at improving margins and performance.

Full-stack AI push

Analysts say the acquisition reflects a deliberate shift toward vertical integration, with Mistral seeking greater control over key layers of the AI stack, from infrastructure and middleware to models. That positioning brings the company closer to what some of them describe as an “AI hyperscaler,” though with a narrower focus.

“Mistral gets a step-up in its progress toward full-stack capabilities,” said Prabhu Ram, VP of the industry research group at Cybermedia Research. “The Koyeb acquisition bolsters Mistral Compute, enabling better on-premises deployments, GPU optimization, and AI inference scaling. Koyeb elevates Mistral’s hybrid support, appealing to regulated US and European enterprises.”

For enterprise buyers, hybrid and on-premises flexibility is increasingly important, particularly in regulated sectors where data residency and latency requirements limit full reliance on public cloud providers.

Still, analysts caution that Mistral remains more specialized than general-purpose cloud providers such as Microsoft, Google, or Amazon Web Services. Its infrastructure footprint and capital expenditure profile are significantly smaller, shaping how it competes.

“Mistral AI’s modest CAPEX compared with the big AI hyperscalers makes Koyeb’s acquisition important, as it adds the capability to offer more efficient and cost-effective inference scaling for enterprises focused on specialized AI tasks,” said Neil Shah, VP for research at Counterpoint Research. “Whether Mistral AI can expand this capability to compete with general-purpose AI inference from hyperscale providers across enterprise and consumer markets seems unlikely at this point.”

Shah added that Mistral’s European roots position it strongly in sovereign AI deployments for enterprises and public sector organizations, where serverless architecture and localized control can be differentiators.

At the same time, structural challenges also remain. Ram noted that ecosystem maturity, GPU access, execution depth, and cost efficiency are still areas where Mistral trails larger hyperscalers. For CIOs evaluating long-term AI infrastructure bets, those factors may weigh as heavily as model performance.

​A Glendale man was sentenced to nearly five years in federal prison for his role in a darknet drug trafficking operation that sold cocaine, methamphetamine, MDMA, and ketamine to customers across the United States. [...]

Oh, hello. Did you call for an exterminator — one that’s ready and raring to help swat away unwanted virtual pests of the Android variety?

Look, Android’s absolutely overflowing with options to take control of your notifications and make ’em work better for you. But no matter how many tools we’ve got at our disposal, it sometimes seems like annoying alerts still manage to make their way through and disrupt our days. (Don’tcha just love overly aggressive app noise?!)

Today, I want to introduce you to a smart new Android add-on I just recently encountered that can give you even more nuanced and easily achieved control. It’s a simple app that does one thing and one thing only. And Goog almighty, does it ever do it well.

So grab the nearest mask and metaphorical can of bug spray: It’s time to eliminate your Android notification annoyances once and for all.

[Don’t stop here: Come check out my free Android Intelligence newsletter for three new things to try in your inbox every Friday — and my Android Notification Power-Pack as a special welcome bonus!]

Android notification pest control

All right — first things first: You know about Android notification channels, right?

Notification channels are a feature that first came into Android way back in 2017’s Android 8 (Oreo) era, many Android versions ago. Certain device-makers (cough, cough, Samsung) for some reason still insist on disabling it by default and making you go out of your way to find and activate it — but it’s there and available, even so.

And once you figure out how to put those notification channels to use, you can opt in or out of specific types of notifications from an app — or just change how different types of alerts demand your attention — without having to flip any all-or-nothing alert-affecting switches. It’s an incredibly powerful way to stop certain categories of notifications from annoying you while still allowing the notifications you actually want to get through as they arrive.

That being said, notification channels aren’t always enough. Sometimes, apps don’t provide particularly nuanced channels for all the different types of alerts they create — and sometimes, you might need to narrow things down even further than a channel allows in order to effectively prevent certain notifications from buggin’ ya while leaving others from the same category alone.

That’s precisely where a new and completely free tool called DoNotNotify comes into play. DoNotNotify lets you look at your recent notification history and use it to create quick ‘n’ simple rules that block specific sorts of unwanted notifications from ever interrupting you again.

So, for instance:

• You might tell DoNotNotify that you never want to see another notification that says “Upload finished” again.
• Or maybe you’d ask it to keep alerts with the phrase “USB accessory connected” out of your hair henceforth.
• Or perhaps you want to go a bit broader and put the kibosh on any notifications from (ahem) certain streaming apps that include words like “discount,” “sale,” “new release,” or “recommended.”

You get the idea. The sky’s the limit, and the best way to get going and figure out what sorts of notification nuisances you want to exterminate is simply to fire up DoNotNotify and see what it finds.

Time to start spraying

I’m tellin’ ya: There really isn’t much to this.

First, go grab DoNotNotify from the Play Store, if you haven’t already. It’s free, without any asterisks or limitations — just an optional mechanism to donate to its developer, if you’re ever so inspired — and it should run without issue on any reasonably recent device.

Then:

• Open the app up and follow the prompt to grant it access to your system notifications.
  • An app like this obviously can’t function without being able to read and manage your notifications, so this level of access is perfectly sensible for the purpose. It’s also worth noting that the app doesn’t request any permissions whatsoever beyond that — including even access to the internet — so it couldn’t possibly share your data with anyone else, even if it wanted to. (Its developer is also emphatic about the fact that the app processes everything locally and offline, doesn’t collect or share any information, and doesn’t use any sort of tracking technology.)

Now, if you can muster up the patience, let the thing sit for a few hours or even a couple days so it can build up a decent history of the types of notifications you tend to receive. That’ll make it much easier to first figure out what rules you need and then to actually create ’em.

Once some time has passed — and a variety of different types of notifications have come in to your device — go back into DoNotNotify, and:

• Tap the “History” tab at the top.
• Look through your recent notifications, and find one that exemplifies a type of alert you want to avoid receiving in the future. (You may have to tap the name of an app in the list to expand it and see all the individuals notifications within.)
• Tap the notification in question, then tap “Create Rule” and consider the fields you see.

DoNotNotify has just two main fields, for a notification’s title and its text.

JR Raphael, Foundry

• For most people and purposes, you’ll want to leave the buttons exactly as they are and just focus on the “Title Filter” and “Text Filter” fields.
  • “Title Filter” means any notification that has the listed word or words anywhere within its title — as in, the bolded text at its top — won’t ever be shown again.
  • “Text Filter,” as you may have guessed, means any notification with the listed word or words anywhere within its main contents, regardless of title, won’t be shown.

By default, DoNotNotify will simply pull over the complete title and text from the notification you used as a starting point. But you can — and may well want to — edit and adjust it to make it less narrow.

Making the “Title” and “Text” fields slightly less narrow can make a rule much more effective for the future.

JR Raphael, Foundry

When you’ve got everything how you want it, tap “Save Rule” — and that’s it: The next time you receive a notification that meets the conditions you specified, it won’t beep, buzz, or appear in any way on your screen. DoNotNotify will instantly and automatically muffle it, and the only way you’ll know it even appeared is to look in DoNotNotify’s “Blocked” tab to see it.

Any blocked notifications are always visible within DoNotNotify’s “Blocked” tab.

JR Raphael, Foundry

Now, fair warning: This will work exactly as described above — and it could create problems if you aren’t careful. If, for instance, you ask DoNotNotify to block all notifications from Google Messages that contain the word “the,” it will do it. And that means any notification you receive from Messages that has “the” anywhere within its text won’t notify you, and you’ll never notice its arrival.

It’s a powerful tool, in other words, and it’s up to you to wield that power wisely and think through the complete consequences of any rules you create. The good news, of course, is that it’s quite easy to revisit your rules, see exactly what messages DoNotNotify is blocking, and adjust or remove things as needed anytime.

Last but not least, one point worth making: If you’ve read my musings for long and you find yourself thinking, “Huh, this sounds an awful lot like the notification-enhancing app we were talking about last week” — by golly, Gertrude, you’re right.

That app, BuzzKill, is a much broader and more versatile notification filtering power-tool. While it can accomplish feats similar to what we’ve just gone over, if that’s all you’re looking to do, it’s arguably overkill. It also isn’t free, which — let’s be real — means a sizable chunk of Android-appreciating animals are never gonna experience it.

DoNotNotify is brilliant in its simplicity and in how easily accessible it makes this level of intelligent notification blocking, at absolutely no cost. Whether you use it by itself or in conjunction with BuzzKill — as well as with Android’s own native notification channel possibilities — it’s a resource well worth being aware of and keeping around as a part of your personal pest-zapping toolkit.

Now, if you’ll excuse me, I’ve got some more webs to spray.

Spray your face with geeky Googley goodness with my Android Intelligence newsletter — three new things to try every Friday and my free Android Notification Power-Pack today.

A maximum severity security vulnerability in Dell RecoverPoint for Virtual Machines has been exploited as a zero-day by a suspected China-nexus threat cluster dubbed UNC6201 since mid-2024, according to a new report from Google Mandiant and Google Threat Intelligence Group (GTIG). The activity involves the exploitation of CVE-2026-22769 (CVSS score: 10.0), a case of hard-coded credentials Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn’t enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes [email protected]

Notepad++ has released a security fix to plug gaps that were exploited by an advanced threat actor from China to hijack the software update mechanism to selectively deliver malware to targets of interest. The version 8.9.2 update incorporates what maintainer Don Ho calls a "double lock" design that aims to make the update process "robust and effectively unexploitable." This includes verificationRavie Lakshmananhttp://www.blogger.com/profile/[email protected]