Palo Alto Networks launches a multi-model AI service for continuous security testing
Defenders are starting to operationalize frontier models as always-on penetration testers rather than occasional analyst assistants.
Palo Alto Networks announced Unit 42 Continuous Frontier AI Defense, a service that uses multiple frontier and open-weight AI models to continuously assess web applications, APIs and cloud infrastructure.
The system is intended to identify attack paths and vulnerabilities and provide remediation guidance, including code-level fixes and virtual patching.
Why it matters
AI is moving onto both sides of the security equation. Continuous machine-driven testing could shorten the time between vulnerability introduction and discovery—but it also increases the importance of scope controls and safe autonomous testing, especially after recent agent-boundary failures.
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