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A real-world AIVigil finding from a customer environment. One unprotected AI integration endpoint with no login required. An attacker chained Server-Side Request Forgery, Local File Inclusion, and live AWS credential exfiltration into a potential full infrastructure takeover. This is how it happened, and how AIVigil found it first.
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AI threat intelligence uses machine learning and automated analysis to detect, correlate, and prioritize cyber threats in real time. Learn how it works, what it detects, and how to implement it effectively.
Read MoreShadow AI is the unauthorized use of AI tools by employees outside IT and security oversight, creating data leakage, compliance, and IP exposure risks.
Read MoreLearn MCP security, including common risks, security controls, monitoring methods, and best practices for securing AI-agent environments.
Read MoreLearn how AI attack surface monitoring identifies AI exposure, detects AI attack paths, monitors shadow AI, and reduces risks across AI models, APIs, agents, and workflows.
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