We presented at OWASP on hardening AI agents. Download the talk →
Your AI tools are ready. Your infrastructure isn't.
You've deployed coding agents, AI-powered support, and RevOps automation. The initial ROI is great. Now you're hitting the wall: security gaps, no visibility, and infra that wasn't built for this. We've got the playbook.
AI changed the rules. Your platform needs to catch up.
You don't know which AI tools your teams are using, what data they're accessing, or what MCPs are running. Shadow AI is the new shadow IT, and it moves faster.
Coding agents and AI tools need access to APIs, databases, and services. Non-human identities are exploding, and most have persistent, over-provisioned credentials with no audit trail.
MCP servers are the new integration layer, but most are deployed without authentication, granular permissions, or multi-tenancy. One misconfigured server and your data is exposed.
Connecting systems and data sources to AI requires pipeline work. Every new use case means weeks of integration, and your platform team is already stretched thin.
Everyone is moving fast. Very few teams are making durable decisions.
It's about requirements risk.
"The number one risk in AI platform buildouts is requirements risk. Most teams start building before they've scoped what the platform actually needs to support."
"Every time you restrict a coding agent, you get a mutiny. So you need to pick your battles and make each restriction count. The goal is velocity without losing the reins."
Infrastructure and rollouts. Code, not slides.
Visibility, tool-level permissions, and multi-tenant setup for your MCP servers. Know what's connected, who's using it, and enforce policy at the gateway.
Tame your coding agents. Orchestration layers that give your engineering org guardrails without slowing them down: sandboxed execution, scoped access, and full audit logs.
Non-human identity visibility and security. Map every service account, API key, and agent credential. Enforce least-privilege and just-in-time access for AI.
MCP and RAG setup over your data, docs, and codebase. Enable more people in your org to use AI by giving them access to the context they need, with appropriate controls.
Quickly spin up environments that mirror your infra setup for testing, red-teaming, or agent sandboxing. Same config, auto-destroyed when done.
Deploy open-source and commercial AI tools with appropriate controls. From AI-assisted documentation and refactoring to full agent deployments, with the security your team needs.
Scoped, sequential phases. No open-ended retainers.
We audit your current AI tooling, data access patterns, and security posture. You get a playbook: what to build, what to buy, and a prioritized roadmap tailored to your stack.
We build the infrastructure: MCP gateway, RAG setup, coding orchestrator, or whatever your roadmap calls for. Deployed in your environment, with your team trained on it.
Full AI agent deployment across your org. From support to engineering to ops. Each rollout scoped, monitored, and secured by the platform we built in phase two.
Senior engineers who ship. Not consultants who present.
End-to-end systems engineers
Our team built distributed systems, data platforms, and security infrastructure serving F100 companies. We know DevOps, infra, and the real cost of bad abstractions.
Building with AI since 2023
AI is a productivity multiplier, but only on top of well-engineered systems. We've been building those foundations since 2023. We know how to get yours there.
Vendor agnostic
We don't push our own product on you. Our recommendations are based on what fits your stack. Everything we build runs in your VPC, on your terms.
Defense in depth
We build data access controls for the most air-gapped and regulated systems in financial services. That's the bar we bring to every engagement.
Start here.
Real-world case study of AI coding tools at scale, from The Pragmatic Engineer.
A practical guide to non-human identity security, from the community building the tools.
What's missing from MCP for reliable agent tool integration: identity propagation, adaptive budgeting, and structured error recovery.
Ready to build your AI platform?
Bring your stack, your concerns, and your use cases. We'll show you what's possible.