Adversarial testing for LLMs and AI systems

AI Red Teaming.

Proactively test AI systems and LLMs for prompt injection, data poisoning, jailbreaks, training-data leakage and tool-abuse attack paths. We map findings to OWASP LLM Top 10 and ship reproducible exploit chains, not just risk ratings.

The Basalt AI Red Teaming portfolio gives organisations a way to provide ongoing security skills and knowledge to their initiatives. We meet teams at every level of the stack — from infrastructure to application layer — with senior operators who can read both the engineering and the regulatory context.

Ship AI features with attacker-tested guardrails
Map AI risk to a recognised framework the board understands
Catch jailbreaks before they hit social media
Reduce reliance on prompt-only defences

Services

Prompt injection and jailbreak coverage across 200+ techniques

We deliver this work as part of the broader AI Red Teaming engagement — scoped to your real environment, mapped to the controls your auditors and board already use, and shipped with reproducible artefacts your engineering team can act on.

Agentic tool-use and function-calling abuse testing

We deliver this work as part of the broader AI Red Teaming engagement — scoped to your real environment, mapped to the controls your auditors and board already use, and shipped with reproducible artefacts your engineering team can act on.

Training data leakage and membership inference checks

We deliver this work as part of the broader AI Red Teaming engagement — scoped to your real environment, mapped to the controls your auditors and board already use, and shipped with reproducible artefacts your engineering team can act on.

Multi-modal model testing (vision, audio, code)

We deliver this work as part of the broader AI Red Teaming engagement — scoped to your real environment, mapped to the controls your auditors and board already use, and shipped with reproducible artefacts your engineering team can act on.

CI guardrails and regression suites

We deliver this work as part of the broader AI Red Teaming engagement — scoped to your real environment, mapped to the controls your auditors and board already use, and shipped with reproducible artefacts your engineering team can act on.

Approach

We start with an initial face-to-face (or remote) meeting which will:

Understand what your business does and where the key areas of risk are
Discuss the services that we deliver under the AI Red Teaming offering
Understand the scope of the engagement, single project / application / entire ai red teaming environment or somewhere in between
Select the best services for the stage of development for the solutions in scope

Inside AI Red Teaming

AI Red Teaming

Adversarial testing for production LLM and AI systems — prompt injection, jailbreaks, training-data leakage, agentic tool abuse and model manipulation tested against your real deployments.

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AI Governance & Risk

AI governance that engineering teams will actually use — model and dataset inventory, risk tiering, red-team requirements per tier, and approval workflows that do not become the AI bottleneck. Mapped to NIST AI RMF and ISO/IEC 42001 where it matters.

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What a great team. Easy to work with and so knowledgeable. — Managed Services Provider