{"data":{"id":"84b26319-4bd1-496a-84c9-958cee4ee798","title":"How AI Hallucinations Are Creating Real Security Risks","summary":"AI hallucinations are confident but factually incorrect outputs that pose serious security risks, especially in cybersecurity where they can drive automated decisions. Since AI models generate responses based on statistical patterns rather than verified facts, they may cite nonexistent sources or fabricate data while sounding authoritative, potentially leading to missed threats, false alarms, or flawed security decisions. A 2025 benchmark found that most AI models tested were more likely to give a confident wrong answer than a correct one on difficult questions.","solution":"N/A -- no mitigation discussed in source.","labels":["safety","security"],"sourceUrl":"https://thehackernews.com/2026/05/how-ai-hallucinations-are-creating-real.html","publishedAt":"2026-05-14T11:30:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-05-14T11:30:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}