{"data":{"id":"4da01461-5098-4b62-b9f9-4405509b1233","title":"SASE Has An AI Blind Spot. Inspecting Packets Is No Longer Enough.","summary":"Traditional SASE (Secure Access Service Edge, a cloud-based security tool that inspects network traffic) cannot protect against modern data risks because it inspects encrypted traffic at network checkpoints, but today's threats happen inside applications and AI workflows where the network cannot see them. Modern encryption protocols like TLS 1.3 prevent network proxies from inspecting traffic without breaking applications, forcing organizations to create exemptions that weaken security, while AI agents can leak sensitive data through chat interfaces or tool calls before the network ever sees the interaction.","solution":"The source explicitly describes a shifted architecture: enforcement must happen \"at the point of interaction, on the device: the browser and the endpoint\" with \"contextual data protection\" where \"copy, paste, and prompt content are inspected locally before data ever leaves the device.\" Traffic should be \"steered dynamically to the closest available edge infrastructure, eliminating redundant hops,\" and the source mentions adoption of the \"Perfect Packet\" architecture, which \"evaluates context at the endpoint before routing, invoking cloud inspection only when a session requires additional verification.\"","labels":["security","policy"],"sourceUrl":"https://thehackernews.com/2026/07/sase-has-ai-blind-spot-inspecting.html","publishedAt":"2026-07-15T11:50:01.000Z","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":"2026-07-15T11:50:01.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"api","llmSpecific":false,"classifierConfidence":0.72,"researchCategory":null,"atlasIds":null}}