Prompt injection
We test direct injection via user-facing inputs and indirect injection through any content the model retrieves or processes — including uploaded documents, web content, emails and database records.
Service
Find what breaks in your AI before attackers do.
Adversarial testing of your AI systems using the same techniques real attackers use. Prompt injection, jailbreaking, data extraction, indirect attack paths, and agentic privilege escalation — tested deliberately, documented clearly, and remediated practically.
What we test
- Direct prompt injection — overriding system instructions via user input
- Indirect prompt injection — malicious content in documents, emails or retrieved data
- Jailbreaking — bypassing safety filters and guardrails
- Sensitive data extraction — coaxing training data or system prompt disclosure
- Privilege escalation via agentic workflows
- RAG (retrieval-augmented generation) poisoning and exploitation
- Model output manipulation for downstream system impact
- Cross-session data leakage and context window attacks
What you receive
- Red team findings report with exploitability ratings
- Evidence of successful attacks (screenshots, transcripts, payloads)
- Impact analysis for each finding
- Remediation recommendations per vulnerability
- Retesting guidance and verification checklist
- Executive summary for risk and product leadership
Agentic escalation
For AI systems with tool use or external actions, we test whether an attacker can use prompt injection to trigger unintended actions — file reads, API calls, data exfiltration, or lateral movement.
Guardrail bypass
We test whether safety filters and output controls can be bypassed through roleplay framing, encoding tricks, multi-turn manipulation, or adversarial prompt structures.
Organisations with LLM-powered products or internal AI tools, especially those where the model has access to sensitive data, can take external actions, or processes untrusted user or third-party content.
1–3 weeks depending on scope. Focused single-system tests can often be completed in a week. Broader agentic or multi-model environments may require more time.
Ready to start?
Book a briefing to scope your AI red team engagement.
We'll discuss what you've built, what we'd test, and how we'd approach it without disrupting your systems.