{"data":{"id":"f19a676e-49c9-41e6-85f4-9bdec5131fb4","title":"Deterministic + Agentic AI: The Architecture Exposure Validation Requires","summary":"Organizations are rapidly adopting AI for security testing, but fully agentic AI systems (where AI makes all decisions from start to finish) create a problem: they produce different results each time they run, making it impossible to tell if security actually improved or if the AI just tried a different approach. The source argues that a hybrid model works better, where deterministic logic (fixed, repeatable sequences) defines how security tests execute, while AI enhances specific parts like adapting payloads and interpreting what it finds.","solution":"N/A -- no mitigation discussed in source.","labels":["security","industry"],"sourceUrl":"https://thehackernews.com/2026/04/deterministic-agentic-ai-architecture.html","publishedAt":"2026-04-15T11:30:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Pentera"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-04-15T11:30:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"agent","llmSpecific":false,"classifierConfidence":0.72,"researchCategory":null,"atlasIds":null}}