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.

The last generation of Governance, Risk and Compliance (GRC) software built a multi-billion dollar ecosystem by becoming systems of record for risk. ServiceNow became the system of IT workflows. Archer for audits. Diligent for policy management. Own the control framework, own the workflow, own the audit trail. It worked: for a world where risk moved slowly enough to be captured annually. That world is gone. Point in time attestations are obsolete. The Apple Watch didn’t replace the annual checkup.

What began as reports about Anthropic’s Mythos model has now moved into a gated research preview called Mythos Preview. For cybersecurity, that immediately raises an important question: what happens when advanced AI can accelerate offensive workflows such as vulnerability analysis, exploit development, and attack planning? In a recent Cato blog post, we addressed the broader strategic shift this represents.

Gartner published the inaugural Hype Cycle for Agentic AI last week (and yes, we’re included in two subcategories - Agentic AI Security and Guardian Agent). A few things worth noting. It's inaugural, Gartner publishes over 130 Hype Cycles a year, and standing up a new one signals that a space has earned its own map. And it dropped in April, months ahead of the June - August window when these things usually appear.

A CVE surfaces in the morning. By the time you are talking to that customer, you can tell them: we saw it, we checked your environment, you were not affected, and we deployed a rule that will catch it if it ever shows up. For MSSPs and MDR providers, detection engineering is among the most valuable services you can offer. It is also among the most expensive to deliver consistently and at scale.

It was a bold move, but our finance team was fully on board. They both approved and championed the approach. They wanted to see exactly how much value we could unlock for our customers. They didn't look at the resulting bill and ask us to slow down.

RAG systems connect AI models to your internal data, making them powerful but also creating serious security gaps in access control, data retrieval, and compliance. Knowing how to ensure data security in RAG systems means securing every layer of the pipeline from ingestion to retrieval to output.