AI security & guardrails
Output validation, prompt hardening, audit trails.
Production AI needs production guardrails. We layer in content classifiers, PII redaction, prompt injection defences, output validators, audit logging, and adversarial eval suites — so you can answer the questions your auditors, your customers, and your regulators actually ask.
When this service makes sense
You probably need this if…
You're shipping an AI feature into a regulated industry — health, finance, legal, public sector.
Your security or compliance team has flagged AI as a new threat class without a clear control framework.
You've had a near-miss already — an embarrassing output, a leaked internal fact, a model behaviour that surprised you.
You're preparing for a SOC 2 or ISO 27001 audit and AI is now in scope.
How we approach it
Our approach, step by step.
- 01
Threat-model your AI surface
Where untrusted input enters prompts, what tools the model can call, what data it can access, who's authorised to call it. Written down, signed off, kept current.
- 02
Harden the prompt layer
Tagged delimiters, separation of instructions from data, trust boundary enforcement, defences against injection, role-play, and instruction smuggling. The seams between user input, retrieved context, and tool calls are where systems break.
- 03
Layer in deterministic guards
PII detectors, content classifiers, schema validators, citation enforcement, scope classifiers — cheap, fast, dumb checks that catch what the model gets wrong.
- 04
Build the audit trail and run the red team
Every model call logged with redacted inputs, outputs, validation results, user, timestamp, and cost. Known injection patterns, jailbreak attempts, and custom attack scenarios run on every change. New behaviour doesn't ship until it passes.
What you get
Concrete deliverables.
- Written threat model and control mapping
- Hardened prompt templates with documented trust boundaries
- Output validation and content filtering layer in production
- Audit logging pipeline with PII redaction
- Adversarial eval suite with continuous regression testing
- Compliance-ready evidence package for SOC 2 / ISO / equivalent
Typical timeline
6-10 weeks for a complete production-readiness review and hardening. 3-5 weeks for a focused prompt security engagement. Faster for narrow scopes; longer for multi-tenant or regulated environments.
Common questions
What clients usually ask.
Is this enough for compliance?
It's the technical and operational evidence base. Your compliance team still owns the framework decision (which standard to certify against). Our deliverable is the evidence package they need to make a confident claim.
Is prompt injection actually a real risk for us?
If your system mixes any untrusted content with model instructions — yes. The threat is realised most often through retrieved documents and tool results, less often through direct user input. Most teams underestimate the indirect vectors.
Can we just buy a guardrails product?
Off-the-shelf products cover the common-case classifiers well. They don't cover the bespoke parts of your threat model — which is the part that actually fails. We'll often deploy a commercial product as one layer and complement it with custom guards for your specifics.
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