Engineering
Add compliance enforcement to any AI workflow with one API call.
ZeroDrift checks any LLM, API, or agent output before it ships. Keep your stack, add one call, and stop compliance review from blocking every release.
Enforcement API
AND LOGGED. NO REBUILDS.
// Before
curl client = new OpenAI({
baseURL: "https://api.openai.com/v1",
apiKey: process.env.OPENAI_API_KEY,
});
// After
curl client = new OpenAI({
baseURL: "https://gateway.zerodrift.com/v1",
apiKey: process.env.ZERODRIFT_API_KEY,
});
Why It Matters
Compliance shouldn't block AI velocity.
Engineering teams are building AI faster than compliance can review it, and every new agent, copilot, or integration triggers another review cycle. ZeroDrift gives engineering one enforcement layer that compliance approves once, so teams can ship without re-reviewing every change.
Compliance
//A
What’s Slowing Engineering
→
Compliance review per deployment
→
Custom guardrails per AI system
→
Inconsistent controls across teams
→
Slow rollout of new AI features
→
No standard observability for AI behavior
→
Reinventing compliance per use case
Compliance
//B
What Engineering Needs
→
One enforcement layer, approved once
→
One API call for any LLM output
→
Consistent policy across the stack
→
Fast, governed deployment
→
Built-in logs, metrics, and traces
→
Pre-built rulepacks ready to go
What You Get
Compliance enforcement that fits into any AI stack.
ZeroDrift is built for engineering teams: drop-in, vendor-neutral, and observable.
//A
Enforcement API
ne POST per output. Every response validated, logged, and tied to an evidence ID.
//B
Any Model, Any Vendor
Works on the output, so it works with OpenAI, Anthropic, open models, and internal models.
//C
SDKs and APIs
OpenAPI Spec / Generate a typed client in Python, TypeScript, Go, or Java. No SDK release cycle to wait on.
//D
Agent Framework Support
Any Agent Framework / One HTTP call fits any agent loop or orchestration layer.
//E
Observability
Every verdict, rule, and rewrite logged in Command with an evidence ID.
//F
Enterprise Deployment
VPC, SSO, audit logs, and enterprise controls ready for procurement.
Use Cases
Enforcement for every AI workflow engineering builds.
//A
AI Agents
Add enforcement to agent frameworks and multi-step workflows.
//B
Copilots and Assistants
Wrap copilots and assistants with policy controls without rebuilding.
//C
RAG and Search Systems
Govern outputs from RAG pipelines and AI-powered search.
//D
Internal AI Tools
Enforce policy on internal AI tools used across teams.
//E
Customer-Facing AI Apps
Add enforcement to customer chatbots, agents, and apps.
//F
Third-Party AI Integrations
Govern AI vendors deployed across the organization.