Safeguards often evolve reactively, leaving gaps that only surface under adversarial pressure or scale. Without systematic testing and benchmarking, teams lack confidence that protections will hold in real-world conditions.
To win, your GenAI solutions must be protected by layered, testable safeguards that are traceable, resilient, and aligned with industry safety standards.
When safeguards are treated as static controls, risk accumulates quickly:
- Unknown gaps: Safeguard weaknesses remain undiscovered until they are exploited.
- Adversarial exposure: Guardrails fail under targeted or unexpected inputs.
- Limited accountability: Output filtering lacks traceability and auditability.
These failures increase safety risk, compliance exposure, and operational uncertainty.
In this hands-on workshop, your team systematically evaluates, strengthens, and benchmarks GenAI safeguards using realistic threat scenarios.
- Identify gaps and weak points across existing safeguard implementations.
- Test guardrails against adversarial and edge-case inputs.
- Layer filters and moderation mechanisms to improve defense in depth.
- Embed traceability into output filtering for analysis and accountability.
- Benchmark safeguards against established industry safety norms.
- Identifying Safeguard Gaps and Weak Points
- Testing Guardrails Against Adversarial Inputs
- Layering Filters and Moderation Mechanisms
- Embedding Traceability in Output Filtering
- Benchmarking Against Industry Safety Norms
- Detect and prioritize safeguard weaknesses before they become incidents.
- Validate guardrail effectiveness under adversarial conditions.
- Design layered moderation strategies that reduce single points of failure.
- Improve traceability and audit readiness for filtered outputs.
- Assess safeguard maturity relative to industry safety expectations.
Who Should Attend:
Solution Essentials
Facilitated workshop (in-person or virtual)
4 hours
Intermediate
Safeguard components, adversarial test cases, moderation layers, and benchmarking artifacts