Cisco open sources tool for detecting AI agents on hacking sprees
Project Quarry provides security teams with tools to evaluate AI agent behavior within full session context, similar to how Snort detects malicious network traffic. Unlike existing detection methods that focus on individual interactions like prompt injection or tool calls, Quarry tracks sequences of actions to identify malicious intent—such as data exfiltration to attacker-controlled servers. The open-source tool addresses a gap in AI security by offering what Cisco calls a 'shared language' for agent behavior analysis.
Key points
- Open-source tool detects rogue AI agents by analyzing full session context rather than isolated interactions
- Learns from Hugging Face hack to prevent autonomous AI systems from being weaponized
- Provides shared framework for security teams similar to Snort (network) and YARA (malware) standards
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