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AI Security
Review.
Audit your AI agents and workflows for prompt injection, data leakage, access control gaps, and tool misuse.
Capabilities
What It Covers
AI systems introduce attack surfaces that traditional security reviews don't address. Prompt injection, tool misuse, data leakage through model outputs, and inadequate access controls are the most common vulnerabilities in deployed AI agents. This review finds them before attackers do.
Process
How It Works
Submit AI system architecture
Provide your agent configuration, tool list, data access permissions, and system prompts for review.
We audit agents, tools, and data flows
We test prompt injection vectors, review tool permissions, trace data flows, and assess the blast radius of a compromise.
Deliver findings report with prioritised fixes
A structured report with each vulnerability ranked by severity, explained clearly, with specific steps to remediate.
Who Benefits
Use Cases
Businesses deploying AI agents for customer-facing workflows
Customer-facing AI interacts with untrusted inputs. Prompt injection and data exposure risks are highest in these deployments.
Companies with AI handling sensitive data
When AI has access to customer records, financial data, or internal systems, access controls and data isolation must be verified.
Organisations preparing for compliance requirements
Emerging AI regulations require documented security assessments. A review establishes the baseline and identifies gaps before an audit.
Common Questions
What People Ask
Prompt injection is when an attacker crafts input that causes an AI agent to behave unexpectedly — executing unintended commands, leaking data, or bypassing restrictions. It is the most common attack vector against AI systems today.
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Find the Vulnerabilities Before Attackers Do.
Request an AI security review. We'll assess your agents, tools, and data flows and give you a clear remediation plan.