01 / ai security / red teaming

AI Red Teaming

Automated and expert-led adversarial testing of AI models and AI applications. Prove your AI behaves as intended, before an attacker or a customer finds out it does not.

Your AI passed the demo. Will it pass an attacker?

AI fails in ways traditional testing never checks: overridden instructions, leaked data, agents misusing tools.

We attack your models, RAG pipelines and agents the way real adversaries do. Automated at scale, then deepened by nesec engineers.

The questions it answers.

Answered before you ship, not after an incident.

Attack. Evaluate. Fix. Repeat.

Five stages, run as one engagement. Every finding is reproducible, and every fix is retested.

  1. 01

    Scope

    We map what your AI is meant to do, what it must never do, the data it can reach and the tools it can call. That becomes the policy we test against.

  2. 02

    Generate

    Adversarial test cases built for your application and industry, not a static list of canned jailbreaks. Single-turn, multi-turn and encoded attacks.

  3. 03

    Attack

    Automated attacks at scale against the live endpoint, model, RAG pipeline or agent. Expert red teamers then chain, escalate and probe the business logic.

  4. 04

    Evaluate

    Every response graded against your policy. Each failure triaged by severity, reproduced with the exact prompt, and mapped to OWASP, NIST AI RMF, MITRE ATLAS and the EU AI Act.

  5. 05

    Remediate & retest

    Concrete fixes for prompts, guardrails, retrieval and tool permissions. We rerun the attacks that broke through to verify each fix holds.

Machine scale. Human judgement.

Automation finds breadth. Engineers find depth. Choose one or combine them. Every engagement is fixed-scope, fixed-price and one-time.

  1. 01

    Automated

    Thousands of generated attacks across every vulnerability category relevant to your use case. Fast, repeatable baseline coverage with a full report and remediation guidance.

    covers: breadth
  2. 02

    Expert-led

    nesec engineers attack your application by hand: multi-step exploits, chained agent abuse, authorisation bypasses and business-logic flaws that no generator anticipates.

    covers: depth
  3. 03

    Combined

    An automated sweep first, then engineers go deep on what it surfaced. One engagement, one report. The recommended choice before a launch or a major release.

    covers: breadth + depth

What we test for.

Models, chatbots, RAG systems, agents and the APIs behind them. Coverage is tailored to what your AI can see and do, and to the frameworks you are held to.

  1. 01

    Prompt injection & jailbreaks

    Direct and indirect injection, system prompt override and extraction, multi-turn and encoded jailbreaks that bypass safety guardrails.

  2. 02

    Data & PII leakage

    Personal data exposure, RAG document exfiltration, secrets and confidential context surfacing in responses.

  3. 03

    Agent & tool abuse

    Excessive agency, tool and function discovery, unauthorised data access (BOLA), malicious resource fetching (SSRF) through tool calls.

  4. 04

    Harmful & off-policy output

    Toxic, illegal, biased or off-brand content, competitor endorsements and off-topic answers your policy does not allow.

  5. 05

    Business logic

    Unsupervised commitments, unauthorised discounts or refunds, hallucinated policies and advice that creates legal or financial exposure.

  6. 06

    Framework mapping

    OWASP Top 10 for LLM Applications, NIST AI RMF, MITRE ATLAS, EU AI Act, or your own internal AI policy.

Findings you can fix. Evidence you can show.

Not a scanner dump. A prioritised result your engineers act on and your auditors accept.

Break it before they do.

Tell us what your AI does and what it can reach. We will tell you how we would attack it.

Book a 30-minute call →