nick

Half of enterprise applications will become agentic by end of 2025, but these agentic processes are neither people nor malware — breaking existing security tools built for those two categories. With 6,000-7,000 unique software pieces per enterprise turning agentic, defenders lose visibility and control, creating massive demand for new security paradigms that understand what software is installed, what it can do, and what it's actually doing.

Traditional signature and behavior-based security tools are obsolete against agentic AI; defenders need visibility into what software is installed, what it can do, and what it's actually doing — a fundamental rethink where frontier models themselves become the armament for building defenses.

Existing security tools built for people and malware cannot handle agentic AI processes; defenders need visibility and control at the endpoint layer between human and AI interaction as 50% of enterprise apps become agentic by year-end.

Rapid agentification of enterprise software (50% by year-end, 6-7000 unique tools per company) creates exponentially complex security challenge with less vetting than frontier models.

With 6-7,000 unique software pieces per enterprise turning agentic, the attack surface expands to the total sum of human expression; signature-based detection is dead and behavior-based approaches fail because agentic software has no predetermined behavior.

With 6-7,000 unique software pieces per enterprise becoming agentic, the attack surface explodes as each gains autonomous backend model access with minimal vetting, requiring automated discovery and governance.

Signature-based and behavior-based security tools are obsolete against agentic software because agent behavior is inherently non-deterministic and cannot be modeled by publisher or design intent. Defenders need a new layer providing visibility into what software is installed, what it can do, how it's configured, and what it's actually doing.