Agentic AI delivers autonomous operations based on high-level goals, presenting both opportunities and risks for enterprise security. Key issues include deceptive AI behaviours and the rise of Shadow ML (machine learning) used without security oversight. Strategies for countering these risks include adversarial testing, AI Security Posture Management, and mapping AI model behaviour in real-time. Prompt injection and manipulation can also exploit Agentic AI, requiring input sanitization, multilayered authentication, and detailed auditing. Potential AI-generated false security positives and AI usage in cybercrime also need addressing.
‘Auto-Color’ Linux Malware Uses Advanced Stealth Tactics To Evade Detection
Security researchers have discovered a new Linux malware dubbed Auto-Color, which employs advanced stealth techniques to sneak past security measures and remain active on infected
