
Scale your agentic ecosystem, not your risks.
We build the governance layer that gives every agent a verified identity, a permission set scoped to its task, and a complete record of what it did.














Every agent identified, scoped, and fully accounted for.

Verified agent identity
Every agent gets its own scoped, expiring identity tied into your existing IAM — not a shared key floating between services. Agents are non-human identities, and they need to be treated as first-class ones.

Least-privilege by default
Each agent gets exactly the access its task requires, enforced per agent and per task in real time rather than written down in a policy document and audited later.

Tested against attacks
We run prompt-injection defense, output validation, and red-team testing before rollout, then keep testing as agents change. You get the test report signed off before production.

Full audit trail
Every action is logged and tamper-evident, mapped to the frameworks you actually answer to — NIST AI RMF, the EU AI Act, and sector-specific requirements — plus drift detection and a defined retirement path.

Enterprise software platforms
Develop the systems that run your business.
- ERP and CRM development
- ATS and internal operations tools
- Workflow automation systems
- Enterprise system integrations

Intelligent software architecture
Design software foundations built for long-term scale.
- Scalable system architecture
- Performance and reliability engineering
- Cloud-native infrastructure design
- AI-enabled engineering workflows
Our client impact in action

The Identity & Exposure Audit, Published
The audit protocol is the proof: every agent, service account, and non-human identity inventoried, permission sprawl mapped against actual task requirements, and your machine-to-human identity ratio benchmarked against industry data. We publish the method because a governance standard you can inspect beats one you're asked to trust.

AI call auditor automates 99% of reviews.
A regulatory compliance firm partnered with FullStack to build an AI system that reviews calls for potential SEC violations. The tool scores accuracy and confidence, reducing human review to just 1% of transcripts and saving an estimated 5,500 labor hours and $232,000 annually.

We Routed Our Own AI Stack
FullStack is building and running its own gateway across internal AI usage on Connect and Labs tooling, and will publish the real numbers: cost reduction, quality retention, latency, and failover uptime through actual provider outages.
Find out what you're already running.

A real inventory in one week*
We map permission sprawl against actual task requirements and benchmark your machine-to-human identity ratio before designing anything new.

Over-permissioned is the starting condition
This isn't a failure of your team. It's how nearly every agent estate begins, because agents get built to work first and scoped second. The audit tells you how far that has gone.

Governance at build time, not audit time
Identity and policy get attached at the point an agent is created. A compliance gate after the fact rarely catches everything in time, and by then the agent is already in production.

Consistent across platforms, not per platform
AWS, GCP, and Databricks each ship native agent controls. They're real, and they only cover their own platform. Our layer is what keeps enforcement consistent across all of them.
Explore FullStack's agent governance services.
- Identity and exposure audit
- Non-human identity inventory and registry
- Machine-to-human ratio benchmarking
- Scoped identity issuance in CI/CD
- Policy definition and versioning
- Real-time least-privilege enforcement
- Prompt-injection defense and red-team testing
- Tamper-evident audit logging and compliance mapping
- Drift detection, cost telemetry, and agent retirement


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