Agentic AI that runs inside your VPC
We deploy autonomous agents into your own cloud account — private subnets, private model endpoints, zero default egress. Your data stays inside the perimeter your security team already trusts.
- Deployed in your AWS, Azure, or GCP account
- No internet egress; PrivateLink to models
- Your KMS keys, IAM, and VPC controls
- Every action logged to your SIEM
Most AI demos quietly ship your data out
A typical agent prototype calls a public API, pipes your documents to a third-party vector store, and routes tool calls through whatever SaaS connector was fastest to wire up. By the time it works, your sensitive data has crossed three trust boundaries you never approved.
VPC isolation flips that. The agent runs in subnets you own, talks to models over private links, and can only reach the systems on an explicit allowlist. There is no public IP, no default egress route, and nothing to exfiltrate even if a prompt goes sideways.
- No NAT gateway or internet route on agent subnets
- Egress allowlist enforced at the security group
- Data residency stays in your chosen region
Controls baked into the architecture
Isolation isn't a setting we toggle on at the end — it's the foundation every other layer sits on.
Private subnets, no egress
Agents run in isolated subnets with no internet gateway. Outbound traffic is denied unless a route to a named internal system is explicitly approved.
Private model endpoints
Inference goes through Bedrock VPC endpoints, Azure OpenAI Private Link, or a self-hosted open-weight model on in-VPC GPUs. Never the public API.
In-VPC retrieval
Your vector store and embeddings live beside the agent — pgvector, OpenSearch, or your existing warehouse — so retrieval never reaches outside the boundary.
Scoped IAM & secrets
Least-privilege roles, no long-lived keys, and secrets pulled from your vault at runtime. Each agent gets only the permissions its tools require.
Full audit lineage
Every model request, tool call, and approval is logged to CloudTrail, Activity Log, or your SIEM with a traceable decision trail.
Policy & approval gates
High-risk actions require human sign-off, and risk thresholds are codified as policy you can review and version like any other infrastructure.
How we land in your account
A measured rollout that your cloud and security teams review at every step.
Assess
We review your VPC topology, IAM model, KMS strategy, and which internal systems the agents must reach.
Provision
We deliver Terraform that stands up isolated subnets, private endpoints, roles, and logging inside your account.
Deploy
Agents and their model endpoints go live in the perimeter, wired only to the approved allowlist of systems.
Verify
We run egress, access, and lineage tests, then hand over the IaC, runbooks, and audit dashboards.
Public API vs. VPC-isolated deployment
The same agent, two very different security postures.
| Public API agent | VPC-isolated agent | |
|---|---|---|
| Data path | Crosses the public internet | Stays inside your subnets |
| Model access | Third-party hosted API | PrivateLink or in-VPC model |
| Egress | Open by default | Denied; allowlist only |
| Encryption keys | Vendor-managed | Your KMS / Key Vault CMKs |
| Audit logs | Vendor's dashboard | Your CloudTrail & SIEM |
| Residency | Wherever the vendor runs | Your chosen region |
Frequently asked questions
Does any of our data leave the VPC?
No. Agents, model endpoints, vector stores, and tool connectors all live inside subnets you control. Egress is denied by default and only the specific destinations you approve — your own databases and APIs — are reachable through security-group and NACL rules.
Which clouds do you support?
AWS, Azure, and GCP. We deploy into your existing account using Terraform, so the agents inherit your VPC, IAM, KMS keys, logging, and tagging conventions rather than spinning up a parallel environment you have to govern separately.
How do agents reach the model if there's no internet egress?
Through private connectivity — Amazon Bedrock via VPC endpoints (PrivateLink), Azure OpenAI over Private Link, or a self-hosted open-weight model on GPU instances inside the VPC. Inference traffic never traverses the public internet.
Can we keep our own keys and audit everything?
Yes. Encryption uses your KMS/Key Vault CMKs, secrets sit in your secrets manager, and every tool call, model request, and approval is written to your CloudTrail/Activity Log and SIEM. You hold the keys and the logs.
Bring your VPC. We'll bring the agents.
A working session to map your perimeter, connectivity, and the path to isolated agents in your own account.