A Deep Dive into Preventing Denial of Service
GenAI workloads amplify traditional DoS risks through expensive inference, shared APIs, and unpredictable usage patterns.
To win, your GenAI solutions must anticipate overload, enforce limits, detect abuse early, and degrade safely under pressure.
Denial-of-service risks increase as GenAI systems become more accessible and interconnected.
• Underestimated DoS threats: Teams fail to model how GenAI-specific workloads change the DoS threat landscape.
• Inference overload exposure: APIs and inference layers lack protections against cost-amplifying or resource-exhausting requests.
• Slow abuse detection: Traffic spikes and malicious sources are identified only after performance degrades.
These weaknesses lead to outages, runaway costs, and loss of confidence in GenAI reliability.
In this hands-on workshop, your team evaluates and designs DoS defenses tailored to GenAI systems through guided analysis and exercises.
• Assess denial-of-service threats specific to GenAI architectures and usage patterns.
• Analyze API and inference overload risks across common deployment scenarios.
• Establish throttling and rate-limiting strategies aligned to GenAI cost and latency constraints.
• Detect spike patterns and identify abuse sources using structured monitoring approaches.
• Design fail-safe degradation strategies that preserve core functionality under stress.
Assessing DoS Threats in GenAI Systems
Analyzing API and Inference Overload Risks
Establishing Throttling and Rate Limits
Detecting Spike Patterns and Abuse Sources
Implementing Fail-Safe Degradation Strategies
• Identify GenAI-specific denial-of-service risks before incidents occur.
• Analyze where APIs and inference pipelines are most vulnerable to overload.
• Apply effective throttling and rate limits to control abuse and cost.
• Detect abnormal traffic patterns and isolate abuse sources faster.
• Leave with practical degradation strategies to maintain service availability.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate
Architecture diagrams, traffic scenarios, and guided risk modeling exercises