Building Cyber-Resilient AI in the Enterprise
TechTarget SearchSecurity, Tuesday, July 14th, 2026
Enterprise AI introduces distinct attack surfaces that require LLM-specific defenses beyond traditional security controls.
As enterprises accelerate AI adoption, now roughly 6% of the $300B SaaS market, deployment is outpacing security and creating exploitable gaps.
AI systems differ fundamentally from traditional software: prompt injection and data poisoning bypass conventional vulnerability management, and adversaries need not take over infrastructure to exfiltrate sensitive data.
Organizations should embed security from the start via governance, threat modeling and LLM-specific protections including least-privilege access, zero-trust architecture and comprehensive logging.
Critical safeguards include securing connectors, enforcing authorization at the retrieval layer and building AI-specific incident response. The article warns that speed without security is a recipe for disaster.