CompFly AI

compfly.ai/blog/compfly-j… We are excited to announce that CompFly AI has officially joined Coalition for Secure AI (CoSAI), an OASIS Open Project advancing AI security, alongside other leading organizations working to shape a more secure future for AI. As AI agents become more capable and more connected to enterprise systems, the challenge is no longer just autonomy; it’s controlled autonomy. Joining this coalition allows us to collaborate with other leaders to standardize AI security — a mission we support through projects like Crosswind (our open-source security evaluation platform for AI agents). Together, we’re shaping a more secure future for the AI ecosystem. #CompFlyAI #CoSAI #OASIS #AISecurity #AgenticAI #OpenSource

Last week we shared our thinking on why agent security needs to be treated differently. Yesterday, we open-sourced part of that work. Meet Crosswind. Most evaluations focus on single-turn prompts. Agents are different. They use tools. They persist context. They act across multiple steps. Crosswind is an open-source, threat-model driven adversarial evaluation framework built for tool-enabled, multi-turn agents. It generates attack scenarios aligned to real exploit patterns, including: • Prompt injection • Tool misuse induction • Jailbreak attempts • Multi-turn context manipulation Those scenarios are executed against your agent endpoint and the results are categorized against frameworks like NIST AI RMF, the EU AI Act, and OWASP Agentic AI Top 10. No SDK required. Works with any HTTP or WebSocket-accessible agent endpoint. If you’re building agents, you should be red teaming them. Read the full blog: 🔗 compfly.ai/blog/introduci… Explore Crosswind on GitHub: 🔗 github.com/compfly-ai/cro… #OpenSource #AgenticAI #AIsecurity #RedTeaming #CompFlyAI #AIAgent