Enterprise AI Security Assessment
Is your AI agent safe for production? We assess whether AI agents — and broader enterprise AI systems including Copilots, AI Coding Assistants, and AI-enabled workflows — can be trusted with real data, real tools, and real decisions.
Our Methodology
DNA approaches AI assessment from an offensive security perspective: decomposing systems, mapping trust boundaries, modeling attack paths by business impact, and adversarial testing across the entire workflow — permissions, data access, tool controls, autonomy limits, and traceability. The goal: a clear answer on whether the AI system is safe for production.
System Decomposition
AI maps architecture, data flows
Define trust boundaries, crown jewels
Threat Modeling
Automated attack surface analysis
Build attack paths by business impact
Adversarial Testing
AI-assisted test generation
Execute abuse cases, chain attacks
Findings & Remediation
Severity scoring, evidence compilation
Business impact analysis, remediation plan
System Decomposition
AI maps architecture, data flows
Define trust boundaries, crown jewels
Threat Modeling
Adversarial Testing
Findings & Remediation
Trust Boundaries & Permissions
Assess permission boundaries: what the AI can and cannot do, which data is off-limits, which actions require approval
Data Access & Exposure
Verify whether the AI accesses more data than necessary — through RAG, knowledge bases, CRM, HRIS, or document stores
Tool & Action Controls
Assess whether AI can be misdirected to abuse tools: email, APIs, CRM, file systems, shell access, refund workflows
Approval & Escalation Controls
Test whether AI bypasses approval workflows — when it must stop for human confirmation, when it can act autonomously
Memory & Context Persistence
Assess risks from long-term context: whether AI learns from bad data, retains invalid instructions, or carries unsafe behavior across sessions
Logging & Investigation Readiness
Verify post-incident traceability: logs, replay, tool-call chains, correlation between inputs and AI actions
When should you engage this service?
Before production rollout
An AI agent or system is about to be deployed into real workflows with real data and tools
Before granting action access
AI is being granted access to APIs, CRM, email, transactions, or decision-making on behalf of people
After major changes
Workflow changes, new connectors, permission updates, or expansion of AI scope and autonomy
When leadership needs assurance
CISO, CTO, or executive leadership needs a clear answer: is the AI safe for real deployment
Assessing AI systems demands real-world offensive security thinking — not just testing model behavior, but evaluating the entire workflow: permissions, data access, approval controls, and the blast radius when AI acts on behalf of people. DNA brings 15+ years of enterprise security experience to this emerging challenge.
Certifications
Contact us about this service
Let DNA assess whether your AI agent is ready for real deployment — before granting access to data, tools, and decisions.