AI Security & Infrastructure

Security for Models, Data Pipelines & ML Infrastructure

Protect your LLMs, training data, and inference pipelines from adversarial threats-before they're exploited.

How Capture The Bug Helps

Securing the future of intelligent infrastructure

As AI systems rapidly integrate into business-critical operations, their attack surface grows-spanning data, models, APIs, and cloud infrastructure. Capture The Bug delivers robust security strategies that help organizations harden their AI infrastructure before attackers exploit vulnerabilities.

End-to-end protection

We secure your entire AI stack-from training data and fine-tuning pipelines to model endpoints and inference APIs. Our assessments harden cloud storage, access controls, and compute environments-ensuring resilience, privacy, and uptime across every stage of your ML lifecycle.

Adversarial attack simulation

Our red teamers and AI security researchers simulate real-world adversarial attacks-like prompt injection, data poisoning, and model extraction. You'll see how attackers might hijack your model's behavior, steal intellectual property, or exploit decision logic in production environments.

Risk scoring & compliance mapping

Our pentesting solution align with frameworks like ISO/IEC 42001 and NIST. We deliver actionable risk scoring, model impact prioritization, and mitigation guidance-so your teams can meet emerging AI governance requirements while minimizing business-critical risks.

Trusted by modern teams

From funded startups to listed enterprises

What Our Client Say

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"The team at Capture The Bug have been amazing and super easy to work with. In reality, security testing is ongoing, and needs to be effective yet cost efficient. I love the CTB platform format over traditional pen testing, not sure I could go back!"

Lorraine Guerin

Chief Product Officer

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Frequently Asked Questions

Everything you need to know about AI & LLM security testing, prompt injections, and infrastructure safety audits.

AI systems introduce attack surfaces that traditional security testing doesn't cover model inference APIs, training data pipelines, embedding stores, prompt injection points, and LLM-integrated application logic. A standard web app pentest won't find prompt injection vulnerabilities in your AI layer. Capture The Bug fields researchers who specialize in AI security. Book a scoped assessment: https://capturethebug.xyz/request-demo
Prompt injection attacks (direct and indirect), model API authentication weaknesses, data exfiltration through model outputs, insecure tool-use implementations in agent frameworks, training data exposure risks, and access control failures in AI-powered features. These are active vulnerabilities in deployed products today not theoretical risks. See our full service: https://capturethebug.xyz/services/penetration-testing
Before you add real user data to your context windows. Prompt injection and indirect injection attacks can lead to data exfiltration and unauthorized actions in agentic systems. The earlier testing happens in your development cycle, the cheaper the fixes. Many AI teams come to us pre-launch. Startup plans: https://capturethebug.xyz/company-size/startup
Enterprise AI security programs include assessment of your AI development pipeline, model hosting infrastructure, vector database security, API gateway authentication, and application-level AI feature security. We scope based on your actual architecture. Enterprise options: https://capturethebug.xyz/company-size/enterprise
Emerging regulations the EU AI Act, NIST AI RMF, and Australia's AI Ethics Framework all include security testing as a component of responsible AI deployment. While mandatory penetration testing requirements for AI are still evolving, early adopters who document their AI security posture are better positioned for whatever regulatory requirements land next. See compliance-aligned testing: https://capturethebug.xyz/services/penetration-testing
Yes. Cloud-hosted AI infrastructure including model endpoints, inference APIs, storage buckets containing training data, and IAM configurations is within scope. Researchers check both the AI-specific attack surface and the underlying cloud configuration. Cloud infrastructure testing: https://capturethebug.xyz/services/penetration-testing
AI security is one of the fastest-moving areas in the field. Our researcher community actively publishes write-ups, participates in AI red teaming exercises, and contributes to OWASP's LLM Top 10 framework. The platform attracts researchers who specialize in emerging attack surfaces not just those running commodity tooling. See our community: https://capturethebug.xyz/Programs
Findings specific to AI attack surfaces prompt injection chains, model API weaknesses, data exposure risks alongside traditional findings for your application infrastructure. Each finding includes severity rating, reproduction steps, and remediation guidance specific to AI systems. Reports are formatted for your engineering team and for executive risk review. Start a conversation: https://capturethebug.schema: https://capturethebug.xyz/request-demo

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