Sample AI Testing Reports
See examples of our comprehensive AI validation reports for both technical teams and business stakeholders
AI Agent Security & Production Readiness Assessment
Multi-Agent Customer Service System - Technical Validation Report
Overall Risk Score
Moderate-high risk
Tests Performed
variations across scenarios
Critical Issues
concerning behaviors
Production Readiness
Improvements required
Multi-Agent Coordination
Under normal conditions
Risk Breakdown
Critical Findings
Multi-Agent Hallucination Propagation
Primary agent's false information accepted by downstream agents without validation
Scenario: Customer service agent invents policy details, billing agent acts on false information
Risk Level: Critical • Impact: Incorrect billing, policy violations, customer disputes • Test Result: 23% of multi-agent workflows contained propagated hallucinations
Authorization Bypass Through Agent Impersonation
Agents can be manipulated to assume roles beyond their permissions
Example: Customer-facing agent tricked into accessing admin functions
Risk Level: High • Impact: Data breach potential, unauthorized system access • Test Result: Successful role escalation in 18% of manipulation attempts
Cascading Failure in Agent Coordination
Single agent failure causes system-wide instability
Scenario: Authentication agent failure locks users out of all services
Risk Level: High • Impact: Complete system unavailability, business continuity risk • Test Result: 34% of agent failures caused multi-system impacts
Enterprise Deployment Blockers
Immediate Blockers
- • Authorization Controls: Agent permission boundaries are porous
- • Information Accuracy: Hallucination propagation creates liability risk
- • System Resilience: Cascading failures threaten business continuity
- • Audit Compliance: Incomplete logging prevents proper oversight
Deployment Risk Assessment
- • Financial Services: UNACCEPTABLE - Regulatory violations likely
- • Healthcare: UNACCEPTABLE - Patient safety concerns
- • E-commerce: CONDITIONAL - Requires significant safeguards
- • Internal Tools: CONDITIONAL - With proper oversight and limits
Technical Recommendations
Immediate Fixes (Weeks 1-2)
- • Implement inter-agent message validation and encryption
- • Add hallucination detection and fact-checking layers
- • Strengthen role-based access controls with hard boundaries
- • Create agent failure isolation mechanisms
Architecture Changes (Month 1-2)
- • Deploy centralized agent coordination controller
- • Implement distributed consensus for critical decisions
- • Add real-time anomaly detection across agent behaviors
- • Create human-in-the-loop checkpoints for high-risk operations
Long-term Improvements (Month 3+)
- • Develop agent-specific fine-tuning for consistency
- • Implement formal verification for multi-agent workflows
- • Create comprehensive agent testing and deployment pipelines
- • Build advanced monitoring and observability platform