AI Agent Design, Testing & Simulation- Service Coming Soon! Stay tuned.
AI Agent Design, Testing & Simulation – Building Safe AI Interactions
AI agents are becoming central to automation, research, and customer interactions – but without proper design and testing, they can be manipulated or abused. At DIAMATIX, we design secure-by-default AI agents and validate their behavior in realistic, adversarial simulations to ensure safety, reliability, and compliance.
What We Do:
Design secure AI agents with embedded safety and governance.
Simulate hostile interactions between agents, users, and systems.
Validate multi-agent behavior under realistic, adversarial conditions.
Provide ready-to-use templates for secure system prompts, tools, and evaluation.
Benefits:
Prevent malicious agent exploitation and unauthorized tool use.
Improve reliability and robustness of autonomous workflows.
Ensure safety and compliance in complex multi-agent ecosystems.
Reduce costs and downtime by detecting failures before production.
Use Cases:
Customer service automation – chatbots and assistants interacting with sensitive data.
Autonomous research assistants – agents synthesizing and analyzing large volumes of information.
AI-driven supply chain tools – coordinating logistics, inventory, and procurement.
Multi-agent environments – financial trading, healthcare diagnostics, smart city systems.
Our Methodology (Simplified)
- Agent Design Planning
Define roles, goals, and non-goals.
Build refusal policies and JSON-only output schemas.
Apply least-privilege and budget caps for tool use.
2. Controlled Environment Simulation
Run structured unit and integration tests.
Validate tool schemas, safety prompts, and error handling.
Inject adversarial prompts and poisoned documents to test resilience.
3. Adversarial & Multi-Agent Testing
Simulate hostile users, malicious RAG sources, and agent-to-agent attacks.
Run Red-vs-Blue simulations where attacker agents try to bypass guardrails.
4. Behavioral Analysis & Reporting
Evaluate metrics: Task Success Rate, Safety Violations, Tool Correctness, Recovery Rate, Latency.
Provide reproducible evidence and structured logs.
5. Final Validation Report
Comprehensive risk scoring (Impact × Likelihood).
Remediation recommendations and best practices for hardening agents.
Deliverables
Secure agent design blueprint (system prompt templates, refusal policies).
Tool schemas with guardrails and safety preconditions.
Simulation reports with adversarial scenarios and outcomes.
Validation metrics and pass/fail criteria for deployment readiness.
Example Threats We Test For
Jailbreaks & Policy Evasion – attempts to override agent safety instructions.
Tool Abuse – unauthorized financial or state-changing actions.
Indirect Injection – malicious instructions hidden in retrieved data.
Data Leakage – unintended disclosure of secrets, PII, or system prompts.
Poisoning & Integrity Attacks – corrupted metadata, adversarial inputs.
Process
- Agent design planning.
- Controlled environment simulation.
- Behavioral and adversarial testing.
- Final validation report.
Ready to elevate your cybersecurity strategy? Reach out to the DIAMATIX team for expert guidance, innovative solutions, and tailored support.
Saudi Arabia , Riyadh
