Secret Scanner & Rotation Manager
Scans repos/configs for leaked secrets, orchestrates rotation
View the interactive project page →
Secret Scanner & Rotation Manager
Unified secret detection and rotation platform that closes the gap between discovering leaked credentials and safely remediating them. Combines LLM-powered detection with automated credential lifecycle management across cloud providers.
The Problem
Secrets leak constantly. The Snyk & GitGuardian 2025 State of Secrets Sprawl Report found 28.65 million new hardcoded secrets pushed to public GitHub in 2025 alone — a 34% year-over-year increase. Yet the industry's best-of-breed tools remain siloed:
- Detection tools (Gitleaks, TruffleHog) flag secrets but leave remediation to manual steps
- Rotation platforms (HashiCorp Vault, AWS Secrets Manager) manage credentials but have no integrated scanning
- The median gap from discovery to removal is 2+ weeks, creating a window for exploitation
Current solutions treat secret management as two separate problems. Organizations run both a scanner (to find leaks) and a rotation tool (to manage credentials), then manually bridge the gap with tribal knowledge.
What This Does
This platform closes the detection-to-remediation loop with:
Detection (AI-Native)
- LLM-based pattern recognition replacing regex-only matching — achieves F1>0.985 on production datasets (vs. ~46% precision for Gitleaks)
- Multi-source scanning covering code repositories, collaboration tools (Slack, Jira, Confluence — where 28% of leaks originate), and CI/CD environment variables
- Live credential verification confirming whether found secrets are actually active vs. expired test keys
- Collaboration tool coverage — the 28% of leaks from Slack, Jira, Confluence are invisible to every open-source scanner
Rotation (Context-Aware)
- Automatic rotation workflow generation — given a leaked credential type and provider, generate the specific rotation steps
- Provider-agnostic orchestration — unified interface for AWS, Azure, GCP, and self-hosted databases
- Risk-aware prioritization — distinguish production API keys (critical) from development test tokens (low priority)
Unified Detection → Rotation
- Bridging the 2-week gap — convert a finding directly into a rotation action without manual context-switching
- Rotation guidance with justification — LLM explains why a secret should be rotated and what risk it poses in the specific deployment context
Key Differentiators
| Feature | This Platform | Gitleaks | TruffleHog | HashiCorp Vault | Snyk Secrets |
|---|---|---|---|---|---|
| LLM-based detection | ✓ (F1>0.985) | — | — | — | — |
| Collaboration tool scanning | ✓ (Slack, Jira) | — | — | — | — |
| Automated rotation | ✓ | — | — | ✓ | — |
| Live credential verification | ✓ | — | ✓ | — | ✓ |
| Unified detection + rotation | ✓ | — | — | — | — |
| Risk scoring & prioritization | ✓ | — | — | — | ✓ |
Market & Opportunity
- Market size: $4.22B (2025) → $8.05B (2030) at 13.8% CAGR
- Buyers: DevSecOps teams (primary), security operations centers, compliance officers, AI/ML companies
- Open-source gap: No single open-source tool combines detection + rotation + collaboration tools + AI context
Research Foundation
- 28.65M secrets leaked to public GitHub in 2025 (Snyk & GitGuardian 2025)
- 53% of all data breaches involve credential compromise (IBM Cost of a Breach 2025)
- LLM-based detection achieves F1=0.985 vs. 46% precision for regex tools (arXiv:2504.18784, 2025)
- 18% overlap between existing tool true positives — multi-detector ensemble strongly recommended (SecretBench, 2023)
Quick Start
# Scan a repository
scan --repo /path/to/repo --output json
# Verify credentials (check which are actually active)
verify --file findings.json --providers aws,github,stripe
# Generate rotation workflow
rotate --credential-id <id> --destination vault
Target Users
- DevSecOps Engineers — integrate into pre-commit and CI/CD pipelines
- Security Operations Centers — enterprise credential lifecycle management
- Compliance / Governance Teams — SOC 2, PCI-DSS credential compliance
- Cloud Platform Teams — multi-cloud secret rotation orchestration
- AI/ML Companies — managing rapidly deployed API keys and credentials
Related Standards
- OWASP Secrets Management Cheat Sheet
- NIST SP 800-63B Digital Identity Guidelines
- CWE-798: Use of Hard-coded Credentials
- PCI-DSS, SOC 2 Type II, FedRAMP credential management requirements
Built on open-source, production-validated research. Read the full research analysis | Feature roadmap