What CISOs Should Know About AI Runtime Security
TechTarget, Thursday, June 25th, 2026
AI runtime security protects active AI systems from compromise, demanding zero-trust controls CISOs must adopt now.
AI runtime security monitors, protects, and controls AI systems while they are actively running, not just during development.
Compromised AI tools pose unique risks, providing intelligence to attackers, hiding indicators, exfiltrating data via prompt injection, or misrepresenting information.
Challenges include rapidly expanding AI use, fast-evolving agentic systems, and insufficient AI-specific tooling that cannot detect corrupt prompts.
Best practices apply zero-trust to AI: identity controls, blocking unauthorized access, filtering prompts, monitoring runtime behavior, and blocking suspicious users, systems, and MCP nodes.