Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike has been selected for OpenAI's Trusted Access for Cyber (TAC) program. Today, OpenAI released GPT-5.4-Cyber, a frontier model designed for defensive cybersecurity, and expanded the TAC program to give verified, selected defenders governed access through identity verification and tiered controls. CrowdStrike continues to lead the market in secure AI adoption, trusted by AI leaders and organizations of all sizes to accelerate the world's AI revolution.

CVE-2025-53521 was first disclosed by F5 in October 2025 as part of their quarterly security advisory cycle. At that point, it was classified as a denial-of-service vulnerability with a CVSS v4 score of 8.7. Many security teams logged it and moved on, reasonably treating it as a lower-priority item in an already full patch queue.

If you hear that a product is 92% effective, you’d assume it’s operating as intended. It seems like a success story. But dig a little deeper, and the picture changes; only 51% say that their security information and event management (SIEM) is very effective. What does it mean when a majority of security relies on a tool that works, but doesn’t work well enough? Not broken, not exceptional. It’s somewhere in between.

Whether you’re a video editor, graphic designer, or marketer responsible for building key assets, you know how frustrating working on large-scale creative projects can get. Teams struggle to work with large video and design files, dealing with slow, incomplete renders, freezes, crashes, and misaligned content. When collaborating, those delays and inefficient version keeping lead to lost or overlapping work.

Anthropic’s latest Claude news shows how AI is compressing the time from vulnerability discovery to credentialed lateral movement, and why security teams need behavior-based detection across humans and AI agents. Anthropic’s Project Glasswing, announced on April 7, 2026, gives selected partners early access to Claude Mythos Preview for defensive cybersecurity work. Anthropic says the model has already identified thousands of zero-day vulnerabilities across critical infrastructure.

You often hear companies touting that they are AI enabled. But most do not give you the results of how that new AI stacks up with their previous non-AI offerings. We have some early data and want to share it. KnowBe4 was the first Human Risk Management (HRM) vendor to use AI. While our competitors have been touting the use of AI only since 2023 at the earliest, we have been using machine learning (ML), the backbone workhorse of AI, since early 2016 – for a decade!

When Anthropic revealed the existence of Mythos, the frontier AI model they deemed too dangerous for public release, the security community was alarmed. And it’s not hard to see why: Mythos is capable of detecting software vulnerabilities at a previously unimaginable scale, and autonomously crafting exploits to weaponize these flaws. According to Anthropic, Mythos created 181 exploits of Firefox in testing, ninety times more than the company’s previous model (Claude Opus 4.6).

Security environments did not become complex by design. They evolved incrementally. Each tool addressed a gap in detection, visibility, or response. Over time, the architecture expanded, but the system was never designed to operate as a single decision layer. Data moves between systems, but context does not consistently follow. Alerts surface without full entity history. Intelligence exists, but it is not always applied at the point where decisions are made.

In March 2026, a GitHub account called hackerbot-claw, describing itself as an “autonomous security research agent powered by claude-opus-4-5,” began systematically targeting open source repositories—including one from Datadog. Over a week, it opened many pull requests designed to exploit misconfigurations in GitHub Actions workflows.

Cyber risk in 2026 isn’t defined by a lack of security tools; it’s defined by how quickly weaknesses compound when organizations aren’t aligned. To understand how organizations are responding, we researched the priorities, concerns, and blind spots of three critical leadership roles: the CISO, CIO, and CTO.