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Product showcase: Doppler secures secrets for humans, pipelines, and AI agents
Doppler's secrets management platform centralizes credentials for engineers, CI/CD pipelines, MCP servers, and AI agents with runtime injection and dynamic secrets.
Doppler stores API keys, database URLs, tokens, and certificates in a single control plane and injects them at runtime, replacing .env files for human and machine identities including AI agents. It supports OIDC with short-lived identity tokens for Azure, AWS, and GCP, dynamic secrets scoped and time-boxed to single sessions, SCIM provisioning, 50+ integrations, and an MCP server that lets agents request configurations natively. Permissions are enforced at each layer so raw secrets stay out of logs, prompts, and model context, with versioning, rollback, SIEM log forwarding, and cloud or on-prem deployment.
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TruffleHog AWS Analyze reduces remediation time on leaked AWS credentials
Truffle Security launched TruffleHog AWS Analyze, which maps leaked AWS keys' permissions and role assumptions; research found 88% of 64,024 leaked keys still active.
Truffle Security announced TruffleHog AWS Analyze, a TruffleHog Enterprise feature that enriches leaked AWS credentials with identity, effective permissions, and role-assumption context to help teams assess blast radius and prioritize remediation, extending earlier coverage of SaaS and Google Cloud to AWS. Truffle Security research on 64,024 unique leaked AWS keys found 88% still active, a median exposure of five years, only 14% rotated, 84% with full administrator access, and 1 in 6 being root keys, including 929 keys AWS had flagged via its compromised-key quarantine policy that still authenticated. A scan of 7.6 petabytes of public AI training data on Hugging Face found 3,343 live AWS keys, over 900 of which could list S3 buckets holding at least 51.7 TB of private data.
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