An 8B model went from blindly loading Metasploit modules to achieving Domain Admin on GOAD, trained entirely on synthetic data from our world model system.

We built an LLM-powered AMSI provider and paired it against a red team agent, generating a unique dataset and a blueprint for detecting malicious code at execution time.

As the Genesis Mission accelerates AI development across critical scientific domains, robust cybersecurity and adversarial testing must be foundational, not bolted on later.

Two critical cybersecurity programs—CISA 2015 and SLCGP—expire September 30, 2025. Learn why Congress must act now to preserve voluntary information sharing, fund state/local security, and operational...

The AI community has been buzzing since the AI Action Plan's release last week - and for good reason. Here's what we’re most excited to see implemented.

Learn how to build robust evaluations for autonomous red team agents that can perform Windows Active Directory operations. This blog covers action space design, programmatic verification, and measurin...

YouTube video by Off By One Security

Daria explores how the TEST AI Act and red teaming standards can establish American leadership in AI security—a winning policy roadmap from Critical Effect DC 2025.

See how Claude solved a notoriously difficult AI/ML CTF challenge, going beyond pattern matching to genuine problem-solving under adversarial conditions.

Contribute to vmsv/pivot2025-llmworkshop development by creating an account on GitHub.

YouTube video by CyberScoop

Read Dreadnode’s AI policy recommendations for the U.S. AI Action Plan, which focuses on leveraging AI to protect America and attacking AI to find its limits.

📅 Date: Wednesday, March 19, 2025 | ⏰ Time: 10 AM PT / 1 PM ET Dreadnode, the company at the forefront of offensive AI research and development, recently announced its Series A funding announcement ...

Dreadnode Raises $14M to Advance Offensive Security | Series A Announcement

This report offers a vision for red-teaming in the public interest: a process that goes beyond system-centric testing of already built systems to consider the full range of ways the public can be invo...