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DataInn Technologies

Cybersecurity

AI & LLM Security

AI systems that resist manipulation, keep data where it belongs, and leave an audit trail your risk team can follow.
Red-team findings remediated before launchPrompt-injection attack success rateTools and data scoped to least privilegeAI systems covered by governance controls

Overview

AI systems add a new attack surface: anything the model reads can try to give it orders. We test for that, and design systems where a successful injection still cannot do much harm.

Outcomes we measure

  • Red-team findings remediated before launch
  • Prompt-injection attack success rate
  • Tools and data scoped to least privilege
  • AI systems covered by governance controls

Problems we solve

Sound familiar?

  1. 01

    An assistant or agent is about to go live and nobody has tried to break it.

  2. 02

    Agents have broad API keys and could take actions nobody intended.

  3. 03

    Sensitive data could leak through prompts, retrieval or model outputs.

  4. 04

    Regulators and customers ask how your AI is governed, and there is no clear answer.

What we deliver

Concrete deliverables, not slideware.

  • LLM and agent red-teaming

    Adversarial testing for prompt injection, jailbreaks, data leakage and unsafe tool use, aligned to the OWASP Top 10 for LLM Applications.

  • Threat model and architecture review

    Trust boundaries across prompts, retrieval, tools and outputs, mapped to MITRE ATLAS techniques.

  • Guardrails and tool scoping

    Input and output filters, permission-aware retrieval, typed tools and approval gates for high-risk actions.

  • AI governance controls

    Model inventory, evaluation evidence and policies aligned to NIST AI RMF and ISO/IEC 42001.

How it works

From first call to production.

  1. 01

    Inventory and threat model

    Map AI systems, data flows, tools and trust boundaries.

    1–2 weeks

  2. 02

    Red-team

    Adversarial testing of prompts, retrieval, tools and outputs in a safe environment.

    1–3 weeks

  3. 03

    Harden

    Implement guardrails, scope permissions and add evaluation to CI.

    2–6 weeks

  4. 04

    Govern

    Regression red-teaming on changes, monitoring and governance reporting.

    Ongoing

Tech & frameworks

Tools we use — in your stack.

  • OWASP Top 10 for LLM Applications
  • MITRE ATLAS
  • NIST AI RMF
  • ISO/IEC 42001
  • garak
  • PyRIT
  • Promptfoo
  • OpenTelemetry

Built in, not bolted on

Our Applied AI practice builds agents with these controls by default — typed tools, approval gates and traces.

How we build agents

Related projects

Case studies

Case studies for this service are being prepared. Ask us for references on a call.

FAQ

Frequently asked questions

Cybersecurity

Related services

All cybersecurity services

Scope it with a senior practitioner

Book a 45-minute security readiness call.

Where you are, what to fix first, and what it would take.