At Google Cloud Next 2026, the biggest news wasn’t new tech or more powerful chips. Instead, Google made a clear point: AI agents need supervision. It’s a reminder that as enterprises rush to adopt AI agents, they must also put controls in place to prevent costly mistakes. The company’s message was less about celebrating the
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All posts tagged in AI Safety
The US Cybersecurity and Infrastructure Security Agency (CISA) has not yet gained access to Anthropic’s latest AI model, Claude Mythos. This is notable because other government agencies are already using it. The news was reported by Axios earlier this week. Despite the agency’s importance in national cyber defense, it remains on the outside looking in
Microsoft is now incorporating Anthropic’s Mythos AI model into its Security Development Lifecycle. This move shows that advanced AI is starting to play a key role in how big software companies find vulnerabilities and strengthen their code. The goal is to catch security issues earlier in the development process, making software safer from the start.
As more companies move from testing AI agents to deploying them live, one thing is clear: giving agents too much power without control can be risky. These agents work in long-lasting, complex environments, browsing the web, reading code repositories, running shell commands, calling APIs, and interacting with internal systems. While this makes them powerful, it
AI technology offers many benefits, but it also comes with risks. Systems can malfunction or be compromised, leading to serious issues for organizations. Being ready to respond quickly and effectively is crucial to minimize damage and maintain trust. Understanding the Risks and Challenges Recent research shows that most organizations are not prepared to handle AI
For a while now, experts have argued that enterprise AI won’t truly gain widespread adoption until it becomes “boring.” Not boring like uninspired, but predictable and dependable enough to be trusted, governed, and used by everyday employees without fear of things going wrong. There’s no shortage of startups rushing to be the next big thing
There’s a quiet but growing alarm among European banking regulators about a new kind of cyber threat. Instead of a typical hacker or malware attack, the danger now comes from advanced AI models that can test, find, and exploit system vulnerabilities automatically. This shift could have serious consequences for financial institutions, and authorities are paying
Identity management is becoming more important as AI technology advances. With AI agents and deepfake threats, verifying who you’re interacting with online is harder than ever. World ID is working on a new way to prove someone is human, aiming to make online interactions more trustworthy and secure. Recently, at its “Lift Off” event, the
Anthropic has announced a new version of its AI model called Opus 4.7. While it’s an improvement over the previous version, Opus 4.6, the company intentionally designed it to be less powerful than their upcoming flagship model, Mythos. This move highlights a focus on safety and responsible AI use, rather than just pushing the limits
The Windows Recall feature, designed to help users recover data, still has a serious security flaw. Despite a major update aimed at fixing issues, a cybersecurity researcher has shown that malware running in a user’s account can quietly extract all data Recall has collected. This can happen without needing administrator rights, kernel exploits, or breaking
