// AI / LLM SECURITY

Secure the AI
you're shipping.

Security for the AI systems you build and deploy — LLM red-teaming, prompt-injection defense, model supply-chain review, and governance for RAG pipelines and autonomous agents.

OWASP LLM Top 10Prompt Injection TestingModel Supply ChainAI Governance
// THE NEW ATTACK SURFACE

Your AI features shipped faster than your AI security review did.

LLM copilots, RAG pipelines and autonomous agents introduce attack surfaces traditional AppSec programs weren't built for — prompt injection, data exfiltration through model outputs, insecure tool-calling, and poisoned training or retrieval data. We test and harden the AI layer itself, not just the application around it.

// DELIVERY STANDARD

Built for decisions, evidence and accountable execution.

Whether this is a commercial engagement or a government program, the work is structured so technical teams can act and leadership can verify progress.

01 / Scope

Baseline the mission

We confirm authority, scope boundaries, data classification, stakeholders, critical assets and acceptance criteria before work begins.

02 / Execute

Run with traceability

Specialists follow an agreed evidence-led plan with checkpoints, escalation paths and an auditable record of decisions and actions.

03 / Assure

Transfer capability

You receive a leadership readout, technical evidence, prioritized actions, residual-risk decisions and a structured close-out workshop.

// PROJECT OUTPUTS

What your team can take into the next review.

  • Statement of work and scope register
  • Technical findings with evidence and traceability
  • Risk-rated remediation / POA&M register
  • Executive decision brief and close-out workshop
// BUILT FOR

Designed around the people who own the outcome.

  • CISOs and security leadership
  • IT, engineering and operations teams
  • Risk, compliance and procurement teams
  • Government and regulated program owners
01

Prompt Injection & Jailbreak Testing

Adversarial testing against direct and indirect prompt injection, following the OWASP Top 10 for LLM Applications.

02

RAG & Data Pipeline Review

Access-control review for retrieval-augmented generation pipelines, so a query can never surface data the requester shouldn’t see.

03

Agentic Workflow Security

Reviews tool-calling permissions and guardrails for autonomous agents, so an agent can’t be manipulated into unintended actions.

04

Model Supply Chain Review

Provenance and integrity checks for third-party and open-weight models before they enter production.

05

Data Leakage Prevention

Tests whether a model can be coaxed into revealing training data, system prompts, or other tenants’ information.

06

AI Governance & Compliance

Policy, documentation and control mapping for emerging AI regulation and internal responsible-AI requirements.

Frequently Asked Questions

Is this different from your regular application penetration testing?
Yes — traditional AppSec testing doesn't cover prompt injection, model behavior, or RAG data-access boundaries. This service specifically targets the AI/LLM layer, on top of standard application security.
Do you test our production model, or a sandbox copy?
We agree the scope with you up front — most engagements test a staging or sandboxed instance so testing never risks live user traffic or production data.
Can you help with AI governance documentation, not just testing?
Yes — we help map your AI systems against emerging regulation and internal responsible-AI policy, including documentation your compliance and legal teams can use.
Let's build together

Ship AI features without shipping AI risk.

Book a free 30-minute consultation with our engineering team — no obligation, just a clear, practical plan.