AI-native and traditional. One platform.
Most vendors bolt AI onto a legacy scanner — or sell you a chatbot without the foundational coverage your auditors need. Safeguard does both, on a single architecture, with one policy engine and one workflow surface.
Six products. One platform underneath.
Each product reads the same asset graph, policies and evidence. Products are switched on per workspace.
Enterprise Software Supply Chain Manager
The system of record for everything you ship.
- SCA, SAST and DAST
- SBOMs and vulnerability management
- Reachability-ranked findings
- Fix pull requests
Portal
Publish, share and manage SBOMs, and the free way in.
- SBOM publishing and sharing
- EO 14028 verification
- Audit trails
- Free entry tier
Third Party Risk Manager
Supplier risk that keeps updating after onboarding.
- Vendor onboarding
- SBOM requests to suppliers
- Continuous risk scoring
- Policies and gates
Open Source Manager
Everything you depend on, and what it depends on.
- Open-source inventory
- Package security intelligence
- License compliance
- Gold hardened components
Governance, Risk and Compliance
Your compliance program in one place, on the same data as your supply chain.
- Frameworks and controls
- Evidence collection and tests
- Policies, risks and vendors
- Audits with your auditor
API Platform (Console)
One OpenAI-compatible API for models from several providers.
- OpenAI-compatible inference API
- One API key, several providers
- No markup on model usage
- Bring your own provider key
Consoles that work over the same data.
Consoles are switched on per workspace.
Security Operations
SOC console: SIEM events, detection alerts, and investigation cases.
Detection & Response
EDR, XDR and AIDR: your endpoints, correlated incidents and AI agents in one place.
Threat Intelligence
Indicators of compromise, threat actors and feeds, matched against your estate.
Zero-Day Discovery
Newly published advisories that affect versions you actually run, ranked by what is known about real-world exploitation.
Guard
Autonomous runtime protection inside your applications: what is connected, what Guard decided, and calls waiting for a person.
Guard decides and acts on its own, allowing, blocking, redacting or rate-limiting each call by policy. A person is brought in only for the actions a policy marks as needing approval.
- Middleware or SDK for Node, Python, Go, Java and .NET
- Monitor mode by default, and it fails open
- Signed policies from the Policy page
- Installs from registry.safeguard.sh with a guard:pull token
Two halves. Shared everything.
Reasoning & the agent era
- Griffin AI (reachability + fix)
- MCP Server governance
- Guardrails (prompt-injection defense)
- AI-BOM
- Auto-Fix
- Zero-day eval harness
Foundational AppSec & supply chain
- SCA
- SBOM Studio
- IaC Security
- DAST
- Secure Containers
- Secret Detection
- TPRM
- Scanner Suite
Five layers. Single architecture.
Why findings, fix PRs, and evidence stay coherent across every product.
1. Unified ingest
Repos, registries, IaC, runtime, third-party SBOMs, MCP servers, AI agents — one normalized graph of every asset and dependency.
2. Griffin AI reasoning
Reachability, fix synthesis, zero-day eval, and AI-agent intent inference run continuously over the graph.
3. One policy engine
Policy-as-code across SCA, IaC, DAST, AI agents, and TPRM. Same gate logic in PRs, deploys, runtime, and procurement.
4. Single workflow surface
One PR check, one dashboard, one ticketing integration. Findings, fix PRs, evidence and exceptions all live together.
5. Evidence store
Continuous SBOM, VEX, scan logs, policy violations and attestations — exportable as framework-mapped audit packs.
Deploy where your data lives.
SaaS
Multi-tenant. Up and running in under an hour.
Private cloud
Dedicated VPC in your AWS / GCP / Azure account.
Sovereign / air-gapped
Self-hosted with full model weights — runs disconnected.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.