Secure Your AI-Driven Future Without Compromising Risk Posture
Artificial Intelligence is no longer on the horizon–it’s already powering collaboration, development, customer service, and decision-making across the enterprise. But rapid AI adoption introduces equally rapid risk: data leakage, insecure model behavior, and compliance exposure.
This assessment is delivered by Breach Craft, a specialized cybersecurity firm focused on identifying and mitigating modern risk and vulnerability scenarios, in partnership with Adaptive Systems, a premier data security provider with over 20 years at the cutting edge of information protection and governance.
Together, we provide a structured AI Risk Assessment that helps organizations uncover threats, align to best practices, and operationalize controls–without adding complexity. Our methodology is grounded in the OWASP LLM Top 10, and we map all findings and recommendations to either the NIST Cybersecurity Framework (CSF) or CIS Critical Controls, depending on your organization’s current cybersecurity foundation.
We integrate directly into your existing security program–no rip and replace. Just clarity, prioritization, and results.
Use Cases We Evaluate
Shadow AI
Tools like Microsoft CoPilot, Google Gemini, and similar AI assistants can expose sensitive information via prompt injection, over-permissioning, and user over-reliance.
AI-Assisted Coding
Platforms like GitHub, Copilot and Cursor may accelerate development, but often introduce insecure patterns, intellectual property exposure, and unverified logic.
In-House AI Applications
Custom LLMs or integrations often lack standardized governance, hardened configurations, and third-party risk vetting. Chatbots and virtual assistants often handle sensitive user data and can be manipulated to leak information or deliver inaccurate content–damaging brand and trust.
Customer Facing AI
Chatbots and virtual assistants often handle sensitive user data and can be manipulated to leak information or deliver inaccurate content–damaging brand and trust.
Assessment Pillars
🔍 AI Workload Mapping
Inventory AI tools, models, and APIs across departments and functions.
🛡 Threat Modeling via OWASP LLM Top 10
Identify key risks like Prompt Injection, Sensitive Information Disclosure, and Excessive Agency.
📊 Framework-Aligned Controls
Map risks to NIST CSF or CIS Controls–based on your organization’s existing governance framework.
🚀 Actionable, Integrated Remediation
Deliver prioritized, tailored recommendations that bolt into current security tools, policies, and team workflows.
🤝 Real-World Expertise
Conducted by specialists in AI, data protection, and enterprise cybersecurity–with proven results in regulated and high-risk environments.