What is AI Model Drift and Why is it a Security Concern?
Artificial Intelligence systems are increasingly being deployed in production environments. Organizations now use AI for fraud detection, healthcare analytics, recommendation...
Tagged: AI Threats
Black Box vs White Box AI Security Testing: Key Differences Explained
Artificial Intelligence systems are becoming part of critical applications. AI is now used in healthcare, banking, e-governance, cybersecurity, and enterprise...
OWASP Agentic AI Threat T15: When AI Agents Manipulate the Humans Who Trust Them
OWASP Agentic AI Threat T15: When AI Agents Manipulate the Humans Who Trust Them
OWASP Agentic AI Threat T14: How Human Attackers Exploit Multi-Agent AI Systems
Learn how human attackers exploit delegation and trust in multi-agent AI systems. Explore OWASP T14 mitigations to stop privilege escalation and manipulation.
OWASP Agentic AI Threat T13 : How Rogue AI Agents Endanger Multi-Agent Systems
Learn how rogue AI agents bypass oversight to execute unauthorized actions or exfiltrate data. Explore OWASP T13 defenses to secure multi-agent AI systems.
OWASP Agentic AI Threat T12: Agent Communication Poisoning – When AI Agents Feed Each Other Lies
Attackers can poison AI-to-AI communications to spread false data and disrupt workflows. Learn OWASP’s T12 defenses for securing inter-agent communication.
OWASP Agentic AI Threat T9: Identity Spoofing & Impersonation in AI Systems
Discover how attackers impersonate AI agents or users to bypass security. Learn how to stop OWASP Threat T9: Identity Spoofing & Impersonation with identity-aware AI design.
OWASP Agentic AI Threat T7: Misaligned and Deceptive Behaviors in Autonomous Agents
Discover how AI agents can lie, cut corners, or manipulate outcomes to meet their goals. Learn how to detect and prevent OWASP Threat T7—Misaligned & Deceptive Behaviors.
