A Deep Dive into Preventing Prompt Injection Attacks
Prompt injection attacks exploit how LLMs interpret instructions, making them one of the most common and damaging GenAI security risks if left unaddressed.
To win, your GenAI solutions must detect, prevent, and actively respond to prompt injection through layered controls and continuous monitoring.
Prompt injection risks escalate quickly when defenses are ad hoc or incomplete.
• Unclear attack vectors: Teams underestimate how prompts can be structured to bypass instructions or policies.
• Unvalidated inputs: User and system prompts flow into LLMs without sufficient sanitization or validation.
• Reactive defenses: Abuse is detected only after harmful outputs or policy violations occur.
These gaps lead to data leakage, policy violations, and loss of trust in GenAI-enabled systems.
In this hands-on workshop, your team designs and tests practical defenses against prompt injection using guided exercises and realistic attack scenarios.
• Analyze common and emerging prompt injection attack vectors.
• Simulate attacks and conduct red teaming exercises against prompt designs.
• Embed prompt sanitization and validation techniques into GenAI workflows.
• Apply guardrails using system prompts and policy-based controls.
• Design monitoring approaches to detect and block real-time prompt abuse.
Understanding Prompt Injection Attack Vectors
Simulating Attacks and Red Teaming Prompts
Embedding Prompt Sanitization and Validation
Applying Guardrails via System Prompts and Policies
Monitoring and Blocking Real-Time Prompt Abuse
• Identify how prompt injection attacks are constructed and executed.
• Test GenAI systems through structured red teaming exercises.
• Apply sanitization and validation techniques to reduce prompt risk.
• Implement guardrails that constrain model behavior effectively.
• Leave with a layered strategy for monitoring and blocking prompt abuse.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate
Prompt design examples, policy patterns, and guided attack simulations