Agent Runtime Security Assessment

Find runtime 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 hands back a practical hardening plan and an evidence path.

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

Three lenses on one workflow

What we map. What you get. How it runs.

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.

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.

One workflow, ten 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

What the agent touches

Tools, credentials, customer data, code, or production systems mapped at the action boundary.

RISK

What can go wrong

Prompt injection, tool misuse, data leakage, unauthorized action, and drift — named, ranked, and located.

CONTROL PLAN

What should run between the model and the system

Allow, block, redact, restrict, escalate, or require review at runtime.

EVIDENCE PATH

What gets handed to the auditor

Signed receipts assembled into a customer-facing evidence pack, verifiable offline.

Get the proof plan your enterprise reviewer will accept.

Tell us about the workflow. We’ll scope the Sprint and reply within 24 hours.

Different use case, or just exploring? Get in touch.