Securing the Future: Safeguarding Autonomous AI Agents
Autonomous AI agents offer vast potential but introduce significant security and governance challenges. Key threats include prompt injection, data poisoning, and model extraction. Governance issues revolve around autonomy, explainability, bias, and accountability. To build trustworthy AI, organizations must implement safeguards like AI discovery, security posture management, penetration testing, AI-specific firewalls, and comprehensive governance frameworks. Security and governance must work together; neither is effective without the other.