Threat modelingDesign reviewsDrift detectionAI guardrailsPR reviewCompliance

AI Product Security Engineer for modern engineering teams

Relay understands your company's product, architecture, code, policies, runtime exposure, and past security decisions — then reviews every product change before it becomes a security issue.

Relay connects to Jira, Confluence, GitHub, Slack, CI/CD, cloud, and security scanners to build a live Product Security Context Graph. On top of this graph, Relay runs AI agents for design reviews, threat modeling, PR reviews, AI coding guardrails, and design-to-code drift detection.

Core Engine

Product Security Context Graph

Relay builds a live graph of your product's security surface by connecting data from every tool in your SDLC. This graph is not a static inventory — it updates continuously as your product evolves.

  • Tickets and epics linked to services and APIs
  • Design docs connected to implementation and tests
  • PRs mapped to threat models and policies
  • Runtime exposure correlated with code ownership
  • Incidents preserved as reusable security context
Live Context Graph syncing
Relay
Jira
GitHub
Slack
Cloud
Scanners
Confluence
CI/CD
APIs
Workflow

How Relay works

01

Connect your tools

Relay integrates with Jira, Confluence, GitHub, GitLab, Slack, Linear, Notion, CI/CD pipelines, cloud infrastructure, and security scanners.

02

Build the Product Security Context Graph

Relay constructs a live graph connecting tickets, docs, repos, PRs, APIs, services, policies, owners, incidents, and runtime exposure.

03

Detect meaningful product changes

New tickets, design docs, PRs, and infrastructure changes are automatically identified as security-relevant events.

04

Review designs, tickets, PRDs, and PRs

Specialized AI agents analyze each change — generating threats, requirements, and fixes grounded in your organization's full security context.

05

Verify design-to-code implementation

Relay checks that implemented code matches security decisions. Drifts are flagged with evidence trails linking back to original design intent.

Agent Fleet

Eight specialized agents, one shared context graph

Discovery Agent

Maps your product surface, APIs, services, and data flows to build a complete understanding of what needs protecting.

Asset discoveryAPI mappingDependency graphData flow tracing

Design Review Agent

Reviews architecture decisions, RFCs, and design docs for security implications before engineering starts building.

Architecture reviewThreat identificationControl recommendationsRisk scoring

Threat Modeling Agent

Generates STRIDE-based threat models for any feature or service, grounded in your actual architecture and past incidents.

STRIDE analysisAttack path mappingMitigation suggestionsResidual risk assessment

Policy Agent

Maps security decisions to policy requirements and tracks coverage across frameworks like SOC 2, ISO 27001, and GDPR.

Policy mappingControl validationGap analysisAudit trail generation

PR Review Agent

Analyzes pull requests for security risks, checking against your threat models, policies, and architectural constraints.

Code security reviewSecret detectionDependency scanningPolicy enforcement

AI Coding Guardrail Agent

Validates AI-generated code from Cursor, Copilot, Claude Code, and internal agents against your security context before it ships.

AI code validationContext-aware checksMCP integrationPolicy compliance

Drift Detection Agent

Continuously monitors for divergence between security decisions and implementation, flagging when code drifts from design intent.

Design-code driftPolicy drift detectionConfiguration driftAlert generation

Governance Agent

Preserves security decisions as reusable context, ensuring institutional knowledge survives team changes and product evolution.

Decision preservationKnowledge graphTeam transitionsHistorical context
AI-Native Teams

AI coding guardrails that understand your context

When developers use Cursor, Copilot, Claude Code, or internal coding agents, the generated code lacks company-specific security context. Relay fills this gap.

  • Validate AI-generated code against your threat models
  • Check architectural constraints before code is committed
  • Surface policy violations in real-time during AI coding sessions
  • Integrate with MCP workflows for context-aware agent interactions
  • Preserve AI-generated security decisions as reusable context
Get AI coding guardrails
AI Code Review

// Cursor generated auth handler

const token = req.headers.authorization;

Relay flagged this code

Missing token validation against your OAuth2 policy (POL-042). Similar vulnerability found in INC-2024-031.

Suggested fix applied

validateToken(token, { issuer: config.oauth.issuer })

Platform

A security command center for your product

RelayDashboard
All systems healthy

Review Queue

API-4402: OAuth scope changesHigh
PR Review Agent
DES-112: New payment webhookMedium
Design Review Agent
PR-8841: Auth middleware refactorLow
Threat Modeling Agent

Context Graph

1,247 nodes

342 edges · Last sync 2m ago

48

Services

127

APIs

34

Policies

12

Incidents

Agent Activity

PR Review AgentReviewed PR-88412m ago
Drift Detection AgentFlagged config drift5m ago
Policy AgentUpdated SOC 2 mapping12m ago
Discovery AgentFound 3 new APIs1h ago

Policy Coverage

Authentication94%
Authorization87%
Data Protection91%
Logging & Monitoring76%
Integrations

Works with your existing stack

Jira
Confluence
GitHub
GitLab
Slack
Linear
Notion
CI / CD
Cloudsoon
Scannerssoon

Ready for an AI Product Security Engineer?

See how Relay understands your product context and reviews every change before it becomes a security issue.