AI workflow security and launch risk

AI and LLM security review for teams shipping high-consequence workflows.

Purple Team reviews AI-enabled workflows for prompt injection, unsafe tool use, data exposure, logging gaps, governance assumptions, and practical launch risk.

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Who it is for

Product and engineering leaders shipping AI-enabled workflows, copilots, or internal automation.
Security leaders who need practical review of AI abuse cases and launch readiness.
Teams connecting models to tools, files, customer data, internal systems, or decision workflows.
Executives who need a plain-language view of AI risk before a launch or customer commitment.

Common triggers

An LLM-enabled feature is moving faster than governance or testing.
The workflow touches sensitive data, tools, approvals, or customer-facing behavior.
Leadership needs launch criteria and risk tradeoffs, not broad AI anxiety.
The team needs abuse-case review before a customer, audit, or production release.

What Purple Team does

Map the workflow

Review data flows, tool access, prompt paths, model boundaries, logging, approvals, and failure modes.

Test abuse cases

Evaluate prompt injection, unsafe tool use, data exposure, authorization gaps, and misuse scenarios.

Support launch decisions

Translate findings into guardrails, remediation priorities, residual risk, and launch decision criteria.

Deliverables

Artifacts for AI risk decisions

Outputs are designed for product, engineering, security, and leadership teams deciding whether and how to ship.

AI workflow risk review
Prompt injection testing notes
Tool and data exposure review
Abuse-case matrix
Guardrail recommendations
Launch risk summary

Engagement options

AI/LLM Security Review before a launch, customer pilot, or production expansion.
Focused abuse-case review for prompt injection, tool use, or data exposure concerns.
AI governance and launch-readiness support for leaders who need defensible criteria.

FAQ

AI/LLM security questions buyers usually ask

Is this a generic AI policy review?

No. Policy can matter, but the work focuses on the actual workflow: prompts, tools, data, logging, guardrails, and launch decisions.

Can you test prompt injection?

Yes. Prompt injection and unsafe tool-use review can be included where the workflow architecture makes those risks relevant.

Can you help product and security teams align?

Yes. The output is written to support product, engineering, security, and leadership decisions without overstating certainty.

Shipping AI into a high-consequence workflow?

Bring Andrew the workflow, data paths, tool access, launch timeline, and the risk questions leadership needs answered.

Talk with Andrew