What’s Next for the Enterprise After Two GenAI Tidal Waves? by Oliver Tavakoli

Krutrim's pivot to cloud after layoffs and limited product updates reflects the economic challenges of building AI models in India.

OpenAI is launching additional opt-in protections for ChatGPT accounts. The new security initiative includes a new partnership with security key provider Yubico.

April 2026 turned out to be one of the most explosive months in AI history. OpenAI dropped GPT-5.5, Anthropic sparked debate by withholding Claude Mythos, and new releases from Google, DeepSeek, and other Chinese labs pushed reasoning, agentic capabilities, and multimodality to new heights.

CIO Warren Lenard describes how Indiana has made Microsoft Copilot available for any state employee who wants it, and a key part of the program is training. That training also extends to cabinet-level secretaries.

The organizations that get the most from agentic AI will be those that understand the threat model clearly enough to design against it.

Apple is building new AI photo editing tools to introduce with its next major software updates this fall, and these won’t be the only AI tools and services it wants to talk about at the Worldwide Developers Conference (WWDC) in a few weeks’ time. While it is correct to say Apple has had setbacks in AI development, it has also had successes. Was it ready for the generative AI (genAI) juggernaut? Probably not, nor has it successfully developed its own response in-house. Is Apple’s platform ready for AI? Indisputably, with the power and performance across all its hardware products to run AI on the edge, in the cloud, and as-a-service. Right now, Apple doesn’t offer the world’s best AI services, but does offer the world’s best platform on which to run them. Given you can’t have one without the other, no matter how you slice and dice it, Apple has therefore seen partial success in AI. Now, it just needs to add the software and the services, about which we’ll find out much more in June. What

For years, meeting room technology was evaluated primarily on ease of use and audiovisual quality. If people could walk in, plug in, and start presenting, the job was considered done. That mindset no longer holds. Today’s meeting rooms are deeply connected to digital environments, and security has become a business-critical concern rather than a technical afterthought.  According to IDC, 50.8% of organizations now rank security as the most important factor when selecting collaboration and videoconferencing technology, ahead of price or quality considerations. That shift reflects a broader reality: what happens in meeting rooms has direct implications for data protection, regulatory compliance, operational resilience, and corporate trust.  The meeting room as an expanded attack surface  Hybrid work has fundamentally changed the role of the meeting room. It is no longer a closed, isolated space. Instead, it has become a convergence point where corporate networks, cloud services, collabor

The US Cybersecurity and Infrastructure Security Agency (CISA) does not yet have access to Anthropic’s bug-hunting AI model, Claude Mythos, even though other government agencies do, Axios reported earlier this week. As if that weren’t a big enough slap in the face for the national cyber-defense agency, the list of those who do have access to Mythos includes several unauthorized users, according to Bloomberg News. Members of a private Discord channel specializing in seeking information about unreleased AI models, have gained access to Mythos, according to one unnamed member of the group, Bloomberg reported. “The group has been using Mythos regularly since then, though not for cybersecurity purposes,” the person told Bloomberg, supplying screenshots to back up their claim. As a result of its fear that the powerful model could be used to identify and exploit flaws in software and online services, Anthropic has limited access to a preview of Mythos to an exclusive group of government agenc