AI Security

AI security covers defending AI systems and using AI for cyber defense, including model attacks, data poisoning, and secure deployment.

Protecting AI products from attack—and sometimes using AI to protect other systems.

AI Security includes ML for cyber defense and controls that protect AI systems (input filtering, monitoring, supply-chain checks).

Security teams evaluate these vendors with different criteria than general IT automation buyers.

• Threat detection
• Identity risk scoring
• LLM application defenses

• Prioritizes alerts
• Addresses novel generative threats

• Adversarial adaptation
• Integration burden

• Adding an LLM does not automatically improve security outcomes

Related industry hub?

Cybersecurity sector intelligence on Brel.

• CISA
• NIST AI RMF

• Adversarial ML and LLM security surveys