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AI and Data Security / Governance

AI inside a business is a new attack surface and a new compliance question. We harden every system we ship, and we audit AI systems other teams have shipped, so a missing guardrail does not become tomorrow's incident.

The problem you are facing

Your team is pasting customer data into ChatGPT. An AI chatbot on your site can be tricked into revealing prices for non-existent products. A vendor's chatbot leaked one client's tickets into another's. And nobody can tell you what your AI policy is.

What we build for you

  • Threat model: prompt injection, data exfiltration, jailbreak, RAG poisoning, tool misuse
  • Input and output guardrails: content filters, tool-use approval, scope enforcement
  • PII redaction: sensitive data masked before it ever reaches a model
  • Audit logging: every prompt, response, tool call, and decision recorded
  • Access control: role-based, least-privilege, time-bound
  • AI usage policy: a one-page rule set your team can actually follow
  • Vendor assessment: third-party AI tools reviewed for risk

How it works

  1. 1

    Audit

    We catalog every AI system, vendor, and access path, including the ones nobody told you about.

  2. 2

    Harden

    Add input and output guardrails, redaction, logging, and least-privilege access to every system.

  3. 3

    Policy and training

    A short policy document and 30-minute team session covering what AI use is allowed and what is not.

  4. 4

    Monitor

    Alerts on prompt-injection attempts, anomalous tool use, and policy violations.

Outcomes you can expect

  • Lower probability and blast radius of an AI incident
  • Clear, defensible compliance story for buyers and auditors
  • Your team uses AI freely without leaking what they should not
  • Every AI decision is traceable for review
  • Sensitive workflows (legal, HR, finance) get AI safely

Security is not an add-on. It is how we build. Every system we ship comes with logs, guardrails, and a clear answer to β€œwhat happens if someone tries to break this.”

Frequently asked questions

Is AI actually risky? Is this just FUD?

It is risky in specific, knowable ways: data leakage, prompt injection, over-permissive tool use, hallucinated facts in customer-facing systems. We mitigate those, and we do not sell fear about the rest.

We are a small team. Do we really need a policy?

Yes, a one-pager. Without it, the answer to "can I paste this into ChatGPT" depends on who you ask. A short policy fixes that.

Do you do SOC 2 or ISO?

We do not run those audits, but the controls we add (audit logs, access control, vendor review) plug directly into SOC 2 and ISO 27001 evidence.

Can you redact data going to OpenAI or Anthropic?

Yes. Sensitive fields are masked client-side before any model call. We also support model deployments where prompts never leave your VPC.

How is this different from a normal pen-test?

Pen-tests look for vulnerabilities in code. AI security looks for vulnerabilities in behaviour, what the model will do under adversarial prompts. Different discipline, same rigour.

Ready to get started?

Order this service through our contact form and our team will be in touch within one business day. Prefer a quick call first? Book one for free.

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