{"data":{"id":"5a4ded34-1125-498a-ab8f-fc2819d65077","title":"Security posture improvement in the AI era","summary":"As AI capabilities grow rapidly, organizations must ensure their basic security fundamentals are strong to respond quickly to new threats and vulnerabilities. Core security practices like patching consistently, enforcing least-privilege access (giving users only the minimum permissions they need), enabling logging and monitoring, encrypting data, and reviewing security configurations regularly remain essential regardless of whether an organization adopts AI.","solution":"AWS offers the Security Health Improvement Program (SHIP), a no-cost program available to all AWS customers that uses a data-driven methodology to assess current security posture, identify improvement opportunities across 10 core security use cases, build a prioritized action plan tailored to your environment, and establish continuous security improvement. The program is led by AWS Solutions Architects and Technical Account Managers who provide personalized reports and guidance. Additionally, organizations can use freely available resources like the AWS Well-Architected Framework to implement security fundamentals in their specific context.","labels":["security","policy"],"sourceUrl":"https://aws.amazon.com/blogs/security/security-posture-improvement-in-the-ai-era/","publishedAt":"2026-05-01T20:58:39.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["Amazon","Anthropic"],"affectedVendorsRaw":["AWS","Anthropic","Claude"],"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":"2026-05-01T20:58:39.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":false,"classifierConfidence":0.75,"researchCategory":null,"atlasIds":null}}