Semantic dataflow catches what entropy and regex miss
Dataflow analysis tracks variables across files and functions. Catches secrets renamed, reassigned, or passed through indirection that entropy and regex alone cannot detect.
Semgrep • Application security
Semgrep Secrets
Semgrep Secrets combines semantic dataflow analysis, entropy analysis, regex pattern matching, and active validation against secret-issuing services to detect leaked credentials and confirm whether they are currently active. Local validation keeps tokens inside the customer's environment rather than sending them to Semgrep servers.
Merito sells Semgrep Secrets and operates the dataflow rule design, AI Memories authoring, validator configuration, and PR-time integration that turn secrets detection into a working credential-leak prevention program.
- Best for
- AppSec leaders responding to credential-leak incidents, Security teams adopting secret rotation discipline, Programs overwhelmed by entropy-only secrets scanners that miss semantic patterns
- Hosting
- SaaS / On-prem
- Time to value
- First repository scanning in one week. Validator configuration and AI Memories baseline live in two to four weeks. Enterprise rollout in two to four months.
- Security posture
- GDPR, HIPAA-aligned design, SAML SSO
- Last reviewed
- 2026-04-27
What it is
Semgrep Secrets in the enterprise stack
Semgrep Secrets is the credential-leak detection product in the Semgrep AppSec Platform. Detection combines four techniques. Semantic dataflow analysis tracks variables across files and functions to catch secrets renamed, reassigned, or passed through indirection that entropy and regex alone miss. Entropy analysis catches high-entropy strings that look like secrets. Regex pattern matching detects known issuer formats. Active validation makes API calls to issuing services to confirm whether a secret is currently active.
Local validation is the architectural decision that matters for regulated programs. All validations happen inside the customer's environment. No tokens are sent to Semgrep servers. The architecture addresses the regulatory concerns that block self-hosted secrets-validation programs from sending production credentials to a vendor SaaS endpoint.
AI Assistant filtering with organization-specific Memories reduces the operational toll secrets scanning produces in large repositories. Programs with significant historical secret leakage can configure Memories that capture the customer's actual secret patterns and external service inventory so the AI Assistant filters legacy noise from active risk. Slack notifications route high-priority active findings to security and developer teams within seconds of detection.
Ideal use cases
- PR-time secrets detection across all major SCMs
- Active validation of detected secrets against issuing services
- Semantic dataflow detection for secrets renamed, reassigned, or passed through functions
- AI Memories filtering for organization-specific secret patterns
- Slack notification routing for high-priority active findings
What it is best at
Where Semgrep Secrets earns its seat
Active validation differentiates expired from active
Proprietary validator makes API calls to issuing services to confirm whether a secret is currently active. Reduces analyst toil triaging expired or test secrets.
Local validation keeps tokens inside the customer environment
All validations happen locally in the customer's environment. No tokens flow to Semgrep servers. Addresses regulatory concerns that block secrets-validation programs from external SaaS endpoints.
AI Memories ground noise filtering in customer-specific patterns
Organization-specific Memories capture the customer's actual secret patterns and external service inventory. AI Assistant filters legacy noise from active risk based on those patterns rather than generic defaults.
Core capabilities
Semgrep Secrets capabilities, grouped by outcome
Detection techniques
How Semgrep Secrets actually finds leaked credentials.
Semantic dataflow analysis
Tracks variables, renaming, reassignments, and function calls to catch secrets indirected away from where they were originally defined.
Entropy analysis
Detects high-entropy strings that look like secrets even when they do not match a known issuer format.
Regex pattern matching
Detects known issuer formats from major credential providers.
Cross-file scanning
Findings propagate across file boundaries through the same dataflow analysis foundations Semgrep Code uses for SAST.
Active validation
How Semgrep Secrets confirms active versus expired.
Validator framework
Proprietary validator makes API calls to issuing services to confirm whether a secret is currently active.
Local validation execution
All validations happen in the customer's environment. No tokens flow to Semgrep servers.
Validator extensibility
Custom validators for proprietary internal services that lack a public validation API.
AI Assistant and Memories
Where AI augments noise filtering for secrets findings.
AI noise filtering
AI Assistant reasons about which findings are truly sensitive based on the customer's organization-specific Memories.
Organization-specific Memories
Customer-authored Memories capture the customer's actual secret patterns and external service inventory.
Prefixed secrets handling
2025 enhancement covering prefixed secret formats commonly used by modern credential providers.
Developer and notification integration
Where Semgrep Secrets findings reach developers and security teams.
PR-time scanning and comments
Scans run on PR creation/update with findings posted as PR comments on GitHub, GitLab, and Bitbucket.
Slack notifications
Channel notifications for high-priority active findings within seconds of detection.
AppSec Platform integration
Findings flow into the unified Semgrep AppSec Platform alongside Code and Supply Chain results.
Where it fits in the stack
How Semgrep Secrets connects to the rest of your landscape
Semgrep platform (native)
Native- Semgrep CodeShared dataflow analysis foundations across Code and Secrets.
- Semgrep Supply ChainUnified findings under the AppSec Platform alongside SCA.
- AI AssistantAI noise filtering grounded in organization-specific Memories.
- Semgrep AppSec PlatformCentralized findings dashboard, policy plane, and SCM integration.
SCM and notifications (certified)
Certified- GitHub, GitLab, Azure DevOps, BitbucketNative SCM integrations with PR-time scanning and PR comments.
- Slack, Microsoft TeamsChannel notifications for high-priority active findings.
- Jira, Linear, Azure BoardsFindings flow into ticketing as trackable work items.
Custom integrations
Custom- Custom validatorsCustomer-authored validators for proprietary internal services.
- Custom AI MemoriesOrganization-specific Memories that capture the customer's actual secret patterns and external service inventory.
- Internal compliance reportingCustomer-specific evidence packages for credential-leak audit cycles.
Deployment and implementation
How it rolls out
- Hosting
- SaaS / On-prem (Semgrep SaaS, Customer-controlled (Enterprise plan on-prem))
- Implementation complexity
- Low
- Typical time to value
- First repository scanning in one week. Validator configuration and AI Memories baseline live in two to four weeks. Enterprise rollout in two to four months.
- Prerequisites
- Repository inventory and credential provider list
- Validator scope (which issuing services to validate against)
- AI Memories baseline against organization-specific patterns
- Slack notification routing decision
- What Merito usually handles
- Semgrep Secrets runs through the AppSec Platform as SaaS. Enterprise customers can deploy on-prem. Local validation keeps tokens inside the customer's environment regardless of deployment shape. Merito handles tenant setup, validator configuration, AI Memories authoring against the customer's specific patterns, and the PR-time integration.
Licensing and packaging
How it is bought
- Model
- Subscription
- What to expect
- Semgrep Secrets is sold through the Semgrep AppSec Platform Team plan, bundled with Code, Supply Chain, and AI Assistant. Free tier covers teams with up to 10 contributors and 10 private repositories. Enterprise plan adds higher-volume usage and on-prem deployment. Merito sells the license and scopes implementation, validator configuration, and AI Memories authoring as separately priced services.
- Editions and modules
Semgrep Team plan
Per-contributor subscription bundling Code, Supply Chain, Secrets, and AI Assistant.
Best for: Engineering organizations adopting unified AppSec across SAST, SCA, and secrets detection.
Semgrep Team free tier
Up to 10 contributors and 10 private repositories.
Best for: Small teams and pilot programs.
Semgrep Enterprise plan
Higher-volume usage, SLAs, and on-prem deployment.
Best for: Large enterprises with regulatory or operational requirements.
- Common expansion areas
- Add Semgrep Code for paired SAST and Secrets workflows
- Add Semgrep Supply Chain for unified SCA
- Calibrate AI Memories against organization-specific secret patterns
- Author custom validators for proprietary internal services
Merito services
How Merito helps you win with Semgrep Secrets
Merito sells licenses and the delivery work around them. Pick the service that matches where you are in the lifecycle.
01
Semgrep Secrets Implementation
AppSec Platform tenant setup, validator configuration, AI Memories authoring, and PR-time integration.
Explore service02MAPS Assessment
AppSec program scoping for Semgrep Secrets adoption alongside GitGuardian, TruffleHog, and other secrets-detection platforms.
Explore service03DevOps Consulting
PR-time secrets scanning gates and Slack notification routing across GitHub, GitLab, Azure DevOps, and Bitbucket.
Explore service04Premium Support
Named engineer, priority SLAs, and release-window coverage for Semgrep Secrets in production.
Explore service05Managed Services
Long-term run support including ongoing validator maintenance, AI Memories tuning, and credential-rotation operating model.
Explore service06Training and Enablement
Role-based training for AppSec engineers, security analysts, and developers using Semgrep Secrets findings.
Explore serviceSemgrep Secrets licensing
Buy Semgrep Secrets from the partner that configures the validators and authors the Memories.
Active validation pays back when the validator is configured and Memories ground noise filtering in customer-specific patterns. Buy Semgrep Secrets through Merito and get the validators, the Memories, and the PR-time integration together.
Merito point of view
Active validation is the differentiator. Memories make the AI Assistant useful.
Programs running entropy-only secrets scanners spend significant time triaging expired or test secrets that Semgrep Secrets filters out automatically. Active validation against issuing services confirms which findings are currently exploitable rather than historical artifacts. The architecture matters most for large codebases where historical secret leakage produces volume that overwhelms analyst capacity.
Local validation execution is the architectural decision that matters for regulated programs. Tokens stay inside the customer's environment. Programs that need secrets-validation capability but cannot ship production credentials to a vendor SaaS endpoint adopt Semgrep Secrets specifically for the local-validation architecture.
AI Memories require organization-specific calibration. Programs that adopt Semgrep Secrets without authoring Memories against the customer's actual secret patterns get less value from the AI Assistant than the marketing implies. Merito's standard rollout includes Memories authoring against the customer's external service inventory and historical secret-leakage patterns.
What buyers usually underestimate
- Adopting Semgrep Secrets without authoring AI Memories against organization-specific patterns
- Treating active validation as an option rather than the practical reason to choose Semgrep Secrets
- Skipping custom validators for proprietary internal services
- Wiring secrets detection into PR-time without Slack routing for active findings
- Not staffing the credential rotation operating model that consumes confirmed-active findings
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Frequently Asked Questions
Semgrep Secrets FAQs
Consultation request
Talk to Merito about Semgrep Secrets
Share your repository inventory, current secrets-detection posture, and external service surface. A Merito Semgrep specialist follows up within one business day.
Active validation
Confirms active versus expired
Validator API calls to issuing services confirm whether detected secrets are currently active. Local validation keeps tokens inside the customer environment.
Semantic dataflow
Catches what entropy and regex miss
Dataflow analysis tracks variables across files and functions. Catches renamed, reassigned, and indirected secrets traditional scanners miss.
Next step
Configure validators against the customer's external service inventory.
A Semgrep Secrets engagement with Merito starts with the validator scope and AI Memories baseline. Programs without configured validators run entropy-only detection and miss the active-versus-expired filter.