Flagship service · OWASP LLM Top 10 · MITRE ATLAS

AI red teaming for LLMs, agents and RAG pipelines.

Manual, adversarial testing of your AI features by a practitioner who has built GenAI guardrails inside a regulated identity provider. Every finding lands with a fix and a mapping to NIST AI RMF or ISO 42001.

Scope an AI red team Penetration testing ↓
10 / 10OWASP LLM categories covered
ATLASMITRE AI tactic alignment
1 retestIncluded in every scope
Attack surface

An LLM feature is never just a prompt box.

Every arrow in this diagram is a trust boundary we test. Most incidents come from the ones teams didn't think of as attack surface — the documents the model reads, the tools it can call, and the outputs your own code trusts.

Userbrowser / API LLM Appsystem prompt · orchestration Tools / APIspayments · CRM · email Vector storeRAG documents Model providerhosted · fine-tuned Downstream coderenders / executes output LLM01 injection LLM06 excessive agency LLM08 RAG poisoning LLM03 supply chain LLM05 output handling LLM07 prompt leakage
LLM01
Direct & indirect prompt injectionPayloads in user input, uploaded files, web pages, emails and RAG documents that hijack model behaviour.
LLM06
Excessive agency & tool misuseAgents coerced into calling payment, email or admin tools outside their intended authority.
LLM02
Sensitive data exfiltrationPII, secrets and other users' data extracted through the model or leaked via tool outputs.
LLM07
System prompt & logic extractionRecovering hidden instructions, business rules and guardrail logic to bypass them.
LLM08
RAG & embedding attacksPoisoned documents, cross-tenant retrieval and embedding-inversion of confidential content.
ATLAS
Model-level evasion & extractionAdversarial inputs, membership inference and model theft, aligned to MITRE ATLAS tactics.
Coverage

Full OWASP LLM Top 10 (2025), mapped to the frameworks your auditor reads.

Risk categoryTestedMITRE ATLASNIST AI RMFISO 42001
What you get

Findings your engineers can fix and your auditor will accept.

AI threat model

Data flows, trust boundaries and abuse cases for your specific feature, agreed before testing starts.

Reproducible attack chains

Every finding includes the exact payloads, context and steps so your team can replay and verify.

Business-impact scoring

Ranked by what the finding actually enables — fraud, data loss, regulatory exposure — not a generic CVSS number.

Framework mapping

Findings mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF and ISO 42001 controls.

Guardrail recommendations

Concrete defences — input/output filtering, tool permissioning, retrieval isolation — prioritised by effort and impact.

Retest & attestation

One included retest after fixes, plus a customer-shareable summary letter for due-diligence requests.

Penetration testing

The AI is only as safe as the stack it runs on.

Most AI red teams stop at the model. AIRexGuard tests the application, API, cloud and network around it with the same OSCP-methodology rigour — because a perfect guardrail means nothing if the admin panel next to it has default credentials.

Web application & API

OWASP Top 10 / ASVS, business-logic abuse, auth & session, IDOR, mass assignment, GraphQL & REST.

Cloud configuration

AWS / GCP / Azure review against CSA CCM and CIS benchmarks: IAM, storage exposure, secrets, logging.

Network & infrastructure

External and internal testing, recon and attack-surface mapping, segmentation validation, Active Directory paths.

Red / purple team

MITRE ATT&CK-mapped adversary simulation with your SOC in the loop to validate detection and response.

Engagement options

Transparent starting points. Final scope agreed on the call.

AI RED TEAM · FOCUSED

Single AI feature

RM 9,500from

One LLM feature or chatbot, one integration surface. Ideal for a first production launch.

  • Threat model + 5-day manual testing
  • Full OWASP LLM Top 10 coverage
  • NIST AI RMF / ISO 42001 mapping
  • One retest
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AI RED TEAM · AGENTIC

Agents, tools & RAG

RM 18,000from

Autonomous agents with tool access, RAG pipelines and multi-step workflows. Where the real risk lives.

  • Everything in Focused
  • Tool-misuse, excessive-agency & privilege chains
  • RAG poisoning & cross-tenant retrieval
  • MITRE ATLAS alignment + guardrail design review
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FULL STACK

AI red team + pentest

Customscoped

The AI layer plus the web, API, cloud and network it depends on — one report, one accountable tester.

  • Everything in Agentic
  • Web / API / cloud / network penetration test
  • Optional red / purple team exercise
  • ISO 27001 / ISO 27701 / ISO 42001 combined mapping
Talk to us

Indicative starting points for planning. Final pricing is confirmed after the scoping call once the real attack surface is known.

FAQ

Common questions.

Get started

Ship the AI feature. Know what it can be made to do first.

30 minutes to scope the feature, the tools it can reach and the regulator who cares. You'll get a fixed price and a timeline, or an honest "not yet".

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