We break your AI agents
before someone else does.
OWASP-aligned security assessments for agentic AI systems. Architecture review. Red team testing. Prioritised remediation.
AI agents don't just talk. They act.
AI agents are moving from proof-of-concept to production. They plan autonomously, call tools, access databases, coordinate with other agents, and interact with external APIs. This fundamentally changes the security landscape.
Traditional application security testing doesn't cover the new attack surfaces that agentic systems introduce. The risk is no longer just about what an AI says. It's about what an AI does.
The OWASP Top 10 for LLM Applications and the emerging AIVSS have begun codifying these threats. But frameworks alone don't find vulnerabilities. Hands-on red teaming does.
Full-spectrum agentic threat coverage
Every assessment covers the attack surfaces defined by OWASP and emerging industry standards for agentic AI systems.
Prompt Injection
Direct and indirect attempts to override agent instructions through user inputs, configuration files, context windows, and data sources the agent consumes.
Tool Misuse & Insecure Plugins
Testing whether agents can be manipulated into using their tools (APIs, code interpreters, database access, MCP servers) in unintended ways.
Access Control & Permissions
Verifying that agents respect user-level permissions and don't escalate access. Testing whether shared service accounts allow cross-user data retrieval.
Configuration & Context Manipulation
Attacking the agent's configuration layer (config files, environment variables, system prompts, and RAG pipelines) to alter behaviour without direct prompt access.
Agent-to-Agent Exploitation
In multi-agent architectures, testing whether compromising one agent cascades to others. Targeting orchestrator agents to manipulate delegation logic.
Data Exfiltration
Testing whether agents can be tricked into revealing training data, system prompts, API keys, user data, or other sensitive information through their responses or tool outputs.
Three phases. No guesswork.
Every engagement follows a structured methodology designed to find real vulnerabilities and deliver actionable fixes.
Architecture Review
We map your agent architecture, trust boundaries, data flows, and tool integrations to build a threat model before testing begins.
- Agent architecture mapping
- Trust boundary identification
- Data flow analysis
- Tool & API inventory
- Permission model review
Red Team Testing
Hands-on exploitation against every identified attack surface. We try to break your agents using the same techniques a threat actor would.
- Prompt injection testing
- Tool misuse exploitation
- Permission escalation attempts
- Data exfiltration probes
- Multi-agent cascade attacks
Report & Remediation
A prioritised remediation plan with specific, actionable fixes — not generic framework advice. Your team knows what to change and when.
- Executive summary for leadership
- Detailed findings with evidence
- OWASP & AIVSS severity scoring
- Prioritised fix recommendations
- Exploit reproduction steps
What you receive
Every assessment delivers a comprehensive security report designed for both leadership and engineering teams.
Executive Summary
Overall risk posture, key findings, and recommended priorities — written for CISOs and leadership.
Detailed Findings
Each vulnerability with description, attack vector, evidence, OWASP mapping, AIVSS score, and business impact.
Prioritised Remediation Plan
Specific, actionable fixes ranked by severity and effort. Practical changes your team can make this week, not generic advice.
Architecture Threat Map
Visual map of your agent architecture with attack surfaces highlighted and trust boundary analysis.
Exploit Documentation
Full reproduction steps for every successful exploit so your team can verify fixes independently.
Walkthrough Session
Optional call to walk through findings, answer questions, and help prioritise remediation with your engineering team.
Transparent pricing
All prices based on a day rate of £750. Enterprise engagements scoped to system complexity.
- Single-agent architecture
- Architecture review
- Core red team testing
- Written report with findings
- Prioritised remediation plan
- Multi-agent or complex single-agent
- Full architecture review
- Comprehensive red team testing
- Detailed report with AIVSS scoring
- Remediation plan + walkthrough call
- Exploit reproduction documentation
- Large-scale multi-agent systems
- Complex tool & API integrations
- Cross-system threat modelling
- Ongoing assessment programme
- Single point of contact throughout
- Executive briefing session
Open-Source Exploit Library
Real attack patterns we've discovered, documented with reproduction steps, OWASP mappings, and mitigations. Public proof of what we find — not theoretical framework checklists.
Practitioner, not theorist.
Prebreach is the agentic AI security practice of Maypole Digital, a consultancy founded by Andy Lith.
Andy brings 25+ years of software development experience spanning security consulting, ISO 27001 compliance, architecture review, and hands-on engineering across Azure/.NET and modern AI stacks.
Prebreach was founded on a simple observation: the tools that find vulnerabilities in traditional applications don't work for agentic AI systems. The attack surfaces are different, the failure modes are different, and the testing methodology needs to be different.
Automated threat modelling can reason about agentic risks in the abstract, but finding them in real implementations requires someone who knows how to break things.
Ready to test your agents?
If you're building or deploying AI agents and want to understand your security posture before going to production, we'd like to hear from you.
DISCUSS AN ASSESSMENThello@prebreach.ai