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AI & Data Security

Security Assessment for AI Systems

We test AI systems in production to uncover real-world vulnerabilities.

Instead of focusing on theoretical risks, we assess what attackers can actually achieve if they successfully manipulate your AI, based on its real access, permissions, and integrations.

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Tackling the Risk of AI Adoption

AI systems process untrusted data differently than traditional applications. When your AI interprets user inputs, API responses, or uploaded documents, standard input validation doesn’t prevent attackers from embedding instructions that manipulate the AI’s behavior.

What We Do

Prompt Injection Testing & Assessment

We demonstrate exploitable prompt injection paths, assess the potential impact based on your AI’s capabilities, and provide concrete examples of what attackers could achieve in your specific context.

XDR

AI Agent & Integration Security

We perform threat modeling of your AI integration points, test security boundaries between AI decision-making and system actions, and identify where tool access creates exploitable attack chains.

Architecture & Threat Modeling

We map where untrusted data enters your AI workflows, identify trust boundaries, and assess the potential impact of AI-driven vulnerabilities within your specific architecture. This includes evaluating the security implications of your AI’s role and providing actionable guidance for your specific implementation.

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AI Is Expanding Your Attack Surface

When your systems rely on AI to interpret and act on untrusted input, your attack surface expands beyond traditional controls. Attackers can influence system behavior, extract sensitive data, or trigger unintended actions, all while appearing legitimate.

The risk becomes critical when AI is connected to tools, APIs, or internal systems.

What You Receive

  • Detailed findings report with exploitable vulnerability demonstrations
  • Risk assessment contextualized to your business impact
  • Remediation guidance specific to AI security controls
  • Threat model documentation showing attack paths and security boundaries
  • Executive summary for stakeholder communication and risk prioritization
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Who This Is For

For teams developing and deploying AI in production environments, the security risks are no longer theoretical. This assessment is built for teams actively leveraging AI technology, and want to do it responsibly and securely. This includes if you are:

  • Using AI APIs in production systems (customer-facing chatbots, document processing, decision automation)
  • Building AI agents with tool access (integrations with internal systems, databases, or third-party services)
  • Fine-tuning or developing custom models requiring safety validation
  • Processing untrusted data through AI (user inputs, external APIs, uploads)

Get Started

Every AI implementation has unique risks. Contact us for a consultation to discuss your specific architecture, identify your highest-risk attack surfaces, and scope a security assessment tailored to your AI deployment.