AI security and governance for agents, models and the cloud they run on
AI agents now read your email, query your databases and act in your systems — which makes them a new attack surface. Prompt injection, over-privileged agents and unguarded cloud accounts can turn a helpful assistant into a data leak or a massive bill overnight. We learned that lesson running our own platform, and rebuilt with guardrails that now protect every client. Agent Shield audits, hardens and monitors your AI so it stays safe, compliant and on budget.
What the audit covers
AI inventory
Every agent, model, MCP server and integration, sanctioned or not, with its permissions and data access.
Least-privilege access
Scoped identities and credentials for each agent; removal of standing admin rights.
Prompt-injection and misuse testing
Adversarial tests against your highest-privilege agents.
Kill switches and human approval
The ability to stop any agent instantly and require sign-off for high-impact actions.
MCP gateway and hardening
Authenticated, logged and policy-controlled access to your systems.
Audit logging and governance docs
Evidence for security reviews, SOC 2, EU AI Act and Colorado's 2027 AI disclosure rules.
Cloud and AI spend protection
Budgets, quotas, abuse alerts and automatic shutdown rules.
Platforms
- Google Cloud (GCP)
- Microsoft Azure
- AWS
- Kubernetes (GKE, AKS, EKS)
What you receive
A prioritized findings report, fixes applied or ready to apply, cost savings estimate, and optional monthly monitoring.
Frequently asked questions
How fast can you set up spending limits?
Critical budget alerts and quota caps are usually in place in the first days of the engagement.
Do we need to give you full admin access?
No. We work with scoped, time-limited access and document every change.
Is this a one-time audit or ongoing?
Both are available: a fixed-fee audit, then optional monthly monitoring.