Agent Runtime Security Assessment

Find the runtime security gaps before your enterprise customers do.

Glacis maps one AI workflow across model calls, tool use, credentials, data access, control coverage, evidence gaps, and drift readiness — then gives you a practical hardening plan and evidence path.

Book an assessment See what the evidence pack includes

10 business days, one named workflow, a customer-ready proof plan at the end.

What we map

The agent surface.

  • Model calls and agent boundaries
  • Tool-call exposure and delegated authority
  • Credential and data-access paths
  • Prompt-injection and tool-misuse risk
  • Runtime control gaps and evidence gaps

What you get

A practical hardening plan.

  • Runtime control recommendations
  • Evidence path for signed receipts
  • Security-review readiness findings
  • Customer-facing review artifact
  • Secondary ISO 42001 / NIST AI RMF mapping where useful

How it works

One workflow, ten business days.

  • Scope one named AI workflow
  • Review agent, tool, data, and credential boundaries
  • Map control and evidence gaps
  • Demonstrate the receipt and evidence-pack path
  • Leave with a customer-ready proof plan

Assessment output

Turn one risky workflow into a security-review artifact.

The assessment is built for AI-native teams selling into enterprise. It focuses the conversation on what the workflow can do, which runtime controls should run, what evidence is missing, and what proof your customer can inspect.

Surface
Risk
Control plan
Evidence path
Agent uses tools, credentials, customer data, code, or production systems.
Prompt injection, tool misuse, data leakage, unauthorized action, and drift.
Allow, block, redact, restrict, escalate, or require review at runtime.
Signed receipts assembled into a customer-facing evidence pack.
Book an assessment See what the evidence pack includes