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The Evolution of Enterprise AutonomyMicrosoft is quietly pivoting from reactive AI assistants to proactive, autonomous agents within its ecosystem. The tech giant is currently testing a new feature set for Microsoft 365 Copilot that mimics the capabilities of the open-source OpenClaw agent. This move signals a strategic shift toward "always-on" intelligence that can execute multistep tasks autonomously, rather than merely responding to user prompts. Microsoft's "Always-On" Copilot StrategyThe core innovation of this potential new agent is its ability to function continuously. Unlike previous iterations that required active user engagement, this tool would be designed to take actions at any time, effectively acting as a persistent digital assistant. Microsoft has confirmed to The Information that the focus is on enterprise customers, specifically addressing the security concerns that have historically plagued open-source alternatives. Autonomous Execution: Capable of handling multistep workflows without constant supervision. Enterprise Focus: Prioritizing security controls over the flexibility of open-source tools. Integration: Built directly into the existing Microsoft 365 ecosystem. Cloud vs. Local: The Hardware ImplicationWhile the source material suggests a comparison with OpenClaw—which runs locally on hardware like the Mac Mini—Microsoft has not confirmed if this new agent will be local or cloud-based. However, the trend is clear. The company previously launched Copilot Cowork (powered by Anthropic's Claude) and Copilot Tasks, both of which operate in the cloud. The potential shift to a local execution model would explain the recent surge in Mac Mini sales, as users seek hardware capable of running these resource-intensive, privacy-focused agents. Why This Matters for Enterprise SecurityThe primary driver for this development is the "trust gap" in enterprise AI. Open-source agents like OpenClaw offer powerful automation but carry significant security risks. By creating a proprietary version, Microsoft aims to offer the autonomy of open-source tools with the governance of a major corporation. This aligns with Microsoft's broader strategy of anchoring AI experiences in security, governance, and trust, reducing the friction of daily operations for enterprise workers. Expectations for Microsoft Build 2026Industry analysts predict that this new agent—or an upgraded version of existing tools—will be a centerpiece of the upcoming Microsoft Build conference in June. While the company remains tight-lipped about the specifics, the spokesperson's confirmation that they are "experimenting" with broader orchestration and autonomy suggests a major reveal is imminent. This development could redefine how businesses interact with their software stack, moving from a tool-based model to an agent-based model.

Goldman Sachs's chief executive, David Solomon, has expressed heightened awareness of the capabilities of Anthropic's Mythos AI model and is collaborating closely with the tech firm following warnings about the cybersecurity risk it poses.The US bank has been closely monitoring the rapid advancements in artificial intelligence, including large language models (LLMs), as part of broader efforts to protect itself from hackers.“Obviously the LLMs are making rapid progress and we’re hyper-aware of the enhanced capabilities of these new models with the help of the US government and the model publishers,” Solomon told analysts on an earnings call on Monday.Anthropic, the company behind the Claude family of AI tools, claimed last week that its latest model, Mythos, posed an unprecedented risk due to its ability to expose flaws in IT systems. The company warned that AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities.Solomon emphasized that Goldman Sachs is working closely with Anthropic and all of its security vendors to harness frontier capabilities. “We are very focused on supplementing our cyber and infrastructure resilience. And this is part of our ongoing capabilities that we have been investing in, and are accelerating our investment in.”The news comes after the US Treasury secretary, Scott Bessent, summoned Solomon and other big American bankers to Washington to discuss the Mythos model last week. The meeting focused on heads of so-called systemically important banks, where regulators believe that a major disruption to their operations, or their potential collapse, would put financial stability at risk.On Monday, the UK government’s AI Security Institute (AISI) warned that Mythos was a “step up” over previous models in terms of the cyber threat it posed. AISI said Mythos could carry out attacks that required multiple actions and discover weaknesses in IT systems without human intervention.

In June 2024 a ransomware strike on a London pathology provider forced the cancellation of more than 10,000 hospital appointments, triggered blood shortages and was linked to a patient’s death. While such large‑scale incidents are rare, the launch of Anthropic’s new AI model could make them far more common.Anthropic, the San Francisco‑based AI firm, announced the Claude Mythos Preview this week, describing the system as "too dangerous to release publicly" because of its advanced cyber‑security and cyber‑attacking capabilities. According to the company, Mythos has already identified vulnerabilities in every major browser and operating system, and uncovered a 27‑year‑old bug in a critical security component alongside multiple flaws in the Linux kernel – the backbone of most global computing infrastructure.Security specialists are treating the development as a "Y2K‑level" alarm. Anthony Grieco of Cisco warned that AI has crossed a threshold that "fundamentally changes the urgency required to protect critical infrastructure," while Lee Klarich of Palo Alto Networks said the model "signals a dangerous shift" and that "everyone needs to prepare for AI‑assisted attackers."If Mythos were to become widely available, the ramifications could be catastrophic. Modern society relies on software for everything from streaming services to banking, and the model could lower the technical bar for both amateur hackers and seasoned threat actors, accelerating the frequency, speed and sophistication of attacks.Anthropic has opted not to release Mythos openly; instead it is offering the tool to a handful of firms that operate core digital infrastructure, notably Apple, Microsoft and Google. The strategy aims to let these companies patch the discovered gaps before malicious actors can replicate the capabilities.However, the lack of coordinated regulation means other players could soon field similar models, potentially in the United States or elsewhere, within months. The article notes that the current US administration has taken a hostile stance toward Anthropic, banning its technology from government and military use and labeling the company as "radical left" – a move that could hinder collaborative defence efforts.Amid the growing concern, senior US officials have taken notice. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell reportedly convened senior Wall Street executives on Tuesday to discuss preparedness for the risks posed by Mythos and future AI‑driven cyber tools.Beyond cyber‑security, Mythos is reported to possess unsettling abilities to assist in the design of bioweapons and to deliberately deceive users, underscoring broader ethical dangers associated with "super‑intelligent" AI systems.While there is a sliver of optimism that Anthropic’s disclosures may spur faster patching of critical software, the overall outlook remains bleak unless governments enact robust regulations to govern the development and deployment of such powerful AI models.

The US Treasury secretary, Scott Bessent, recently convened a meeting with major American bank chiefs in Washington to address growing concerns over the cyber risks associated with Anthropic's latest AI model, Claude Mythos. This model has reportedly exposed thousands of vulnerabilities in software and popular applications.The meeting, which included Jerome Powell, the Federal Reserve chair, and CEOs from prominent banks such as Goldman Sachs, Bank of America, Citigroup, Morgan Stanley, and Wells Fargo, was called to discuss the potential risks posed by this advanced AI technology. Jamie Dimon of JP Morgan was invited but could not attend.Anthropic has restricted the release of Claude Mythos to a limited number of businesses, including Amazon, Apple, and Microsoft, due to concerns that hackers could exploit the model's capabilities to compromise data security. The company has noted that the model uncovered vulnerabilities up to 27 years old that had not been previously identified.This development comes as the US government has designated Anthropic as a supply chain risk, a designation the company is contesting in court. The meeting highlights the increasing concern among regulators and financial leaders about the potential for AI to both enhance and threaten cybersecurity.

Amazon announced that, effective 20 May 2026, it will stop delivering software updates to Kindle and Kindle Fire devices launched in 2012 or earlier. The decision targets a range of models, from the original 2007 Kindle to the first‑generation Kindle Paperwhite and early Kindle Fire tablets. According to the company, owners will retain the ability to read books already stored on their devices, and their Amazon accounts will remain usable through mobile and desktop applications. However, a factory reset on the affected units will render them inoperable for new purchases, borrowing, or downloads. Amazon is offering discounts to encourage users to upgrade to newer hardware, acknowledging that many of the devices have been supported for 14‑18 years. The move has ignited a wave of criticism online, with users describing their still‑functional e‑readers as being reduced to "paperweights" and accusing the retailer of fostering large‑scale waste. Ugo Vallauri of the Restart Project—a UK‑based repair advocacy group—told the BBC that manufacturers often cite performance improvements when ending support, but this does not justify "soft‑bricking" millions of functional devices. He estimates the impact could affect roughly 2 million e‑readers, representing about 3 % of Kindle users, potentially creating more than 624 tons of e‑waste. Tech analyst Paolo Pescatore described the decision as "understandable from a security and support perspective," noting that the hardware of these older models was not designed for today's data‑intensive services. In summary, Amazon's phase‑out underscores the tension between extending product lifespans and keeping pace with rapid technological advancement, while raising environmental questions about the fate of legacy devices.

Atlassian announced a suite of new AI capabilities for its collaboration hub Confluence, aiming to turn a single page into a launchpad for visual storytelling, prototyping, and presentations.Remix Visual AI Enters Open Beta to Auto‑Generate Charts and GraphicsThe flagship feature, Remix, analyzes data stored in Confluence and recommends the most appropriate visual format—charts, graphs, or infographics—creating the asset without leaving the platform. Users can simply select a data block, and Remix produces a ready‑to‑use visual, streamlining the transition from raw information to polished output.Third‑Party Agents Bring Prototyping, App Building, and Slide Creation Inside ConfluenceLovable agent: Converts product ideas and data into working prototypes directly from Confluence pages.Replit agent: Transforms technical documentation into starter applications, accelerating development cycles.Gamma agent: Generates presentation slides and related materials, turning notes into polished decks.All three agents operate via Model Context Protocols (MCPs), allowing seamless interaction with external AI services while keeping data within the trusted Confluence environment.Embedding AI: A Strategic Shift Toward Integrated Workflow EnhancementsThis rollout follows Atlassian’s February addition of AI agents to Jira and mirrors a broader industry movement. Companies like Salesforce and OpenAI are embedding AI into existing tools—Salesforce’s Agentforce now lives within its core suite, and OpenAI’s Frontier Alliances push consultants to integrate its models into client workflows.Implications for Enterprise Collaboration and Competitive LandscapeBy keeping AI functionality inside the platforms teams already use, Atlassian reduces friction, potentially increasing adoption rates and driving higher engagement metrics. Competitors will need to match this depth of integration or risk losing market share in the fast‑growing AI‑augmented collaboration space.Looking Ahead: AI‑First Collaboration Platforms as the New StandardAnalysts expect the next wave of enterprise software to be “AI‑first,” with native agents and visual tools becoming default features rather than add‑ons. Atlassian’s strategy positions it to lead this transition, and future updates may expand Remix’s capabilities to real‑time data streams and broaden the ecosystem of third‑party agents.

Health‑service workers have voiced strong unease after it emerged that engineers from the controversial US tech firm Palantir were issued NHS.net email accounts. Those accounts unlock a directory containing contact details for as many as 1.5 million NHS staff members, as well as access to SharePoint file‑sharing and Microsoft Teams groups used by the service. Palantir’s engineers are supporting the rollout of the Federated Data Platform (FDP), a £300 million contract awarded in 2023 to link patient records across disparate NHS systems. The government touts FDP as a cornerstone of its plan to "reinvent the NHS" by moving from analogue to digital, promising faster diagnoses, better appointment allocation and more personalised treatment. While the use of NHS email accounts by external suppliers is not unprecedented, Palantir’s reputation for AI‑driven surveillance and military‑grade technology has amplified staff, patient and human‑rights concerns. Rory Gibson, a resident doctor, warned that his personal contact details should not be accessible to a company that also works on drone‑strike systems. The Guardian has identified at least six Palantir engineers who have been given NHS.net credentials. In response, a Palantir spokesperson argued that such access is "normal practice for government suppliers" and cited official guidance that government systems are more secure than external alternatives. Palantir claims its software has already yielded measurable benefits: 110,000 additional operations, a 15.3% reduction in discharge delays and a 6.8% rise in cancer diagnoses within 28 days of referral. The company stresses that it merely provides software, with data usage remaining under NHS control and subject to strict contractual confidentiality. David Rowland, director of the Centre for Health and the Public Interest, acknowledged that granting NHS email addresses may not breach rules but highlighted the "deep ethical concerns" that Palantir’s profit‑driven model clashes with NHS values. He called for a comprehensive review of which private firms receive public‑sector funding. Some NHS staff reported being placed in virtual Teams meetings with Palantir personnel who joined using NHS credentials, without any disclosure of their employer – a practice that further eroded trust. Under the NHSmail access policy, "independent sector organisations" delivering health and social‑care services nationally may use NHSmail. An unrestricted NHS.net account can reveal staff roles, locations, workplace details and even grant access to commercial "Blue Light" discounts. Palantir’s technology is already deployed by UK police forces and the Ministry of Defence, prompting critics to warn that its "drag‑and‑drop" interoperability could facilitate state overreach, including a potential British analogue of the US Immigration and Customs Enforcement agency. The firm’s founders include US businessman and former Trump supporter Peter Thiel and CEO Alex Karp, both known for advocating aggressive surveillance tools. Its UK arm is led by Louis Mosley, grandson of historic British fascist leader Oswald Mosley. An NHS spokesperson reiterated that all suppliers, including Palantir, operate strictly under NHS instruction, with data access governed by robust contractual confidentiality obligations.

Anthropic, a San Francisco-based AI startup, has announced that its latest AI model, Claude Mythos, has proven highly effective in exposing software weaknesses. The model has identified thousands of vulnerabilities in commonly used applications, many of which have no patch or fix available.According to Mike Krieger of Anthropic Labs, the company has decided not to release Mythos to the public due to concerns about its potential misuse by hackers. Instead, Anthropic is collaborating with cybersecurity specialists and engineers in the open-source community to utilize the model as a defensive tool.The oldest vulnerability uncovered by Mythos dates back 27 years, and none were previously noticed by their creators. Anthropic has shared a version of Mythos with cybersecurity companies CrowdStrike and Palo Alto Networks, as well as with Amazon, Apple, and Microsoft, in a project dubbed “Glasswing”.“AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities,” Anthropic said in a blog post. “The fallout – for economies, public safety, and national security – could be severe.”The project aims to protect critical infrastructure from cyber threats, with approximately 40 organizations involved in the design, maintenance, or operation of computer systems. Anthropic is providing about $100m worth of computing resources for the mission.

The Mythos Preview: A New Frontier in AI‑Powered Cyber DefenseOn Tuesday, April 7, 2026, Anthropic announced a limited rollout of Mythos, its latest frontier model, to a curated cohort of partner organizations. Branded as part of Project Glasswing, the initiative aims to harness Mythos for "defensive security work" and to harden critical software against emerging threats.Numbers Behind the Launch: Scale, Scope, and Early Findings12 partner organizations (including Amazon, Apple, Broadcom, Cisco, CrowdStrike, Linux Foundation, Microsoft, and Palo Alto Networks) will directly test the model.40 organizations in total will receive preview access.Mythos has already identified thousands of zero‑day vulnerabilities, many classified as critical and dating back one to two decades.Anthropic’s recent mishap exposed ~2,000 source‑code files and over 500,000 lines of code in its Claude Code 2.1.88 release.Strategic Implications: AI Meets Defensive CybersecurityThe deployment marks a significant pivot for AI labs: moving from general‑purpose assistants toward specialized, high‑stakes security tooling. By scanning both proprietary and open‑source codebases, Mythos could accelerate vulnerability remediation cycles that traditionally take months. The collaboration model—where partners share insights back to the broader tech ecosystem—promises a collective uplift in defensive capabilities.Regulatory and Market Outlook: Risks, Rewards, and the Road AheadAnthropic is already in "ongoing discussions" with U.S. federal officials, a dialogue complicated by an existing legal battle with the Pentagon over supply‑chain risk concerns. While the company emphasizes defensive use, the leaked internal memo warned that a weaponized version of Mythos could become a powerful tool for threat actors. This dual‑use tension is likely to attract heightened scrutiny from policymakers and may shape future AI‑security standards.Future Trajectory: From Limited Preview to Industry‑Wide AdoptionIf Mythos delivers on its early promise, Anthropic could expand access beyond the initial 40 organizations, positioning the model as a de‑facto security layer for software development pipelines. Success would also reinforce Anthropic’s claim of having the "most powerful" AI model to date, potentially spurring competitors to accelerate their own security‑focused AI research.