Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Phishing attacks are evolving faster than traditional training programs can keep up. Advances in AI — including generative tools — are making attacks more dynamic, personalized, and harder to detect. At the same time, agentic AI for phishing security training is reshaping how programs improve, enabling them to adapt to user behavior and shifting risk in real time.

CERT-In just published a risk-based remediation framework that resets expectations for every organisation operating in India. The timelines are worth reading twice: Now consider one question: if a known exploited vulnerability appeared on your internet-facing application at 11pm tonight, what would your team do in the next 12 hours?

Over the past months, I’ve noticed a shift in customer conversations. Coverage, prioritization, emerging threats — those questions have given way to exposed MCP servers, unmanaged AI chatbots, and risks that don’t show up as CVEs. Mythos comes up in every other call. The calculus changed. AI now writes a quarter of production code, with twice as many vulnerabilities. The exploitation window collapsed from days to hours.

"The hardest thing in security is always the chaos," according to Travis McPeak, Head of Security at Cursor. He shared this with Nancy Wang, CTO of 1Password, and Dev Tagare, Senior Director of Engineering at Google, on a recent episode of Zero-Shot Learning, the podcast about how AI gets built, secured, and deployed. "We're always going to have more that we have to be doing than we can actually do.".

AI models that generate code are also the best at exploiting it. Here’s why independent verification, not the model itself, is the only trustworthy answer. This month, the US government ordered Anthropic to suspend access to its most capable models, Mythos 5 and the newly released Fable 5, for all foreign nationals, citing national security. The trigger was a single reported jailbreak that let one of those models slip past its own guardrails on cybersecurity tasks.

Today, we’re excited to share that key members of the team at Ensemble AI are joining Cloudflare to help accelerate our work in AI infrastructure and make it easier for developers to run powerful AI models efficiently at scale. Ensemble AI, founded in 2023 in San Francisco, has spent the last few years focused on one of the most important challenges in AI: making large models faster, smaller, and more cost-effective to serve, without sacrificing quality.

The recent White House executive order on advancing artificial intelligence innovation and security sends a clear signal about how leaders are framing the future. What stands out most in the executive order is the recognition that AI and cybersecurity are now inseparable. One cannot succeed without the other. While national security is a prominent example, this convergence extends to every organization that depends on digital systems.

AI SOC memory is the difference between an investigation that starts from your team’s history and one that starts from zero. In most security operations centers, there is none: context disappears the moment a case closes. When a new alert fires, the investigation effectively starts from zero.