AI Penetration Testing for LLM Applications
Test how your AI systems behave under real-world attack scenarios.Identify prompt injection, jailbreaks, unsafe actions, and data exposure.
Human-led testing. Real findings. Built for production AI systems.
Used by teams building AI-powered products across SaaS, fintech, and enterprise
Trusted by modern teams — from funded startups to listed enterprises
See AI Riskin Real Time
Track vulnerabilities across your AI systems with live findings, clear prioritization, and remediation support. Fix issues before they impact users, data, or workflows.
Live Findings
Validated issues shared as they are discovered.
Clear Prioritization
Focus on issues with real-world impact.
Why AI Systems Need Specialized Testing
AI systems can be manipulated through prompts, external data, and connected tools.
Traditional testing does not fully cover these risks.
Security needs to focus on behavior, not just code.
LLM Applications
Chatbots, copilots, and AI assistants.
AI APIs
Model-connected endpoints and integrations.
AI Agents
Systems that perform actions and workflows.
ML Pipelines
Training, processing, and inference systems.
What We Test
We simulate real-world attack scenarios across AI systems to identify exploitable risks.
Prompt Injection
Manipulation of instructions and outputs.
Indirect Injection
Attacks through external content or data.
Jailbreak Testing
Bypassing safety and output controls.
Sensitive Data Exposure
Leakage of internal or user data.
Agent Misuse
Unauthorized actions via AI workflows.
OWASP LLM Risks
Coverage of key AI security categories.
Understand real risk before release.
Built for Fast-Moving Teams
Security testing aligned with product releases.
No delays, no unnecessary friction.
Fast Setup
Clear scope and quick onboarding.
Predictable Timelines
Structured and transparent delivery.
Retest Ready
Validate fixes without delays.
Designed to support release cycles.
Works with Your Workflow
Security findings integrate directly into your development process.
No extra tools or manual overhead.
Jira, Slack, GitHub
Send findings where your team works.
Shared Visibility
Security and engineering stay aligned.
Release-Aligned Testing
Test alongside product updates.
Actionable Security Findings
Clear explanation of risk, impact, and remediation.
No vague reports or generic output.
Exploit Details
How the issue can be abused.
Impact Explanation
Why it matters to your business.
Fix Guidance
Steps your team can act on.
What We Secure
AI systems that interact with users, data, and business logic.
Chatbots & Assistants
User-facing AI systems.
LLM SaaS Platforms
AI-powered product features.
AI Agents
Automated workflows and tools.
Regulated AI Systems
Fintech, healthcare, enterprise AI.
If your AI handles input, data, or decisions — it should be tested.
Support AI Compliance
Strengthen governance and reduce risk across AI deployments.
Support regulatory and internal security requirements.
ISO 42001
AI governance standards.
EU AI Act
Regulatory readiness.
SOC 2
Trust and assurance.
Data Protection
Privacy and risk control.
Why Capture The Bug
Specialized AI security testing with real-world validation.
Built for teams shipping AI into production.
Security depth without slowing development.
FAQ
Testing how AI systems behave under real-world attack scenarios.
Focuses on behavior, inputs, and workflows — not just code.
Yes, including hosted, open-source, and embedded AI.
Yes, testing aligns with product releases.
Yes, fixes can be validated quickly.
