Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most vulnerability programs rely on scanning known assets and ranking findings based on static severity scores. That model breaks down quickly in modern environments. Asset lists are constantly changing, devices move between networks, workloads shift into cloud platforms, and unmanaged systems appear outside traditional inventory controls. When asset visibility is incomplete, vulnerability data is incomplete as well. The result is predictable. Prioritization becomes inconsistent.

Anthropic has selected Cyberhaven for its Cyber Verification Program, an application-based program that supports legitimate defensive cybersecurity work involving advanced AI capabilities. The approval gives designated Cyberhaven teams access to advanced AI capabilities with fewer interruptions from default safeguards for certain high-risk, dual-use cybersecurity tasks, subject to Anthropic's applicable policies and program requirements.

Brand impersonation account takeover (ATO) happens when attackers use fake brand assets to expose customers, harvest credentials, and attempt access on the legitimate site. The impersonation stage happens outside the enterprise’s login environment, but the ATO risk appears when stolen credentials, attacker devices, or exposed users reach the legitimate login environment. That distinction matters because brand impersonation and account takeover are often handled as separate problems.

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.

May 2026 will be remembered as the month the AI developer toolchain itself became the primary attack surface. A single threat actor — TeamPCP — ran a nine-day campaign that started as a worm in open-source packages, escalated through a poisoned code-editor extension, and ended inside GitHub’s own infrastructure.

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.

The UK’s Cyber Security and Resilience Bill is moving through Parliament and is expected to receive Royal Assent in the 2026–27 session. If you work in IT or security, you’ve likely already heard about it. If your organisation isn’t a hospital, utility, or bank, you may assume it doesn’t apply to you. However, no matter what field you are in, its worth taking a second look and closely evaluating how the legislation may affect you.

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.

Today, Apono is joining 1Password. This is a major step forward for the company we set out to build, the customers who helped shape it, and the future of access governance. When we started Apono, we set out to eliminate the friction that access management creates between security and engineering teams. Access in the cloud was dynamic, but the systems meant to govern it were not. Widespread standing access became an accepted cost of doing business. Engineers waited on tickets.