AI Penetration Testing
Test web applications, APIs, cloud services, identity controls, and AI components. AI-assisted automation expands coverage while human testers validate exploitability and business impact.
Solutions
Four practical services for modern application security.
Use them independently or combine them into an ongoing assurance program shaped around your architecture, release cadence, and risk profile.
Continuous AI Application Red Teaming
Run recurring adversarial campaigns against meaningful releases. AI-assisted test generation expands coverage while human testers validate novel failures, drift, guardrail bypasses, and attack chains.
AI Threat Modeling & Attack Surface Mapping
Turn architecture documents, repositories, API specifications, and deployment context into a living map of models, data flows, tools, trust boundaries, and priority abuse cases.
AI Findings Triage & Remediation
Deduplicate findings, add application context, rank practical exploitability, draft developer-ready fixes, and create retest cases that verify remediation.
Testing coverage
Across the application, AI, and infrastructure stack.
Modern attack paths rarely stay inside one component. We test how applications, APIs, identities, cloud controls, models, data, and tools interact—because the highest-impact failures often cross boundaries.
Web applications & APIs
Test input handling, authentication flows, authorization, exposed endpoints, server-side behavior, and weaknesses in application logic.
Identity & access control
Validate authentication, authorization, session isolation, role boundaries, tenant separation, and permissions across connected services.
Cloud & configuration
Review exposed services, secrets, permissions, network paths, storage, deployment settings, and security assumptions across the environment.
Prompt, RAG & data exposure
Challenge prompt handling and retrieval pipelines for injection, poisoned content, unauthorized access, sensitive-data leakage, and tenant crossover.
Agent & tool abuse
Probe excessive agency, unsafe tool calls, privilege misuse, indirect instructions, and multi-step actions with real operational impact.
Business logic & attack chains
Test workflow abuse, rate limits, output handling, trust assumptions, and cross-layer chains that create financial or operational impact.