Mitigating the Risks of Agentic AI
Join us as we discuss how to detect and avoid the risks Agentic AI poses to data, markets, infrastructure, and more.
Watch On-Demand
Watch On-Demand
Mitigating the Risks of Agentic AI
Overview
Without proper safeguards, Agentic AI’s unpredictable behaviors, susceptibility to manipulation, and ability to act independently could result in data breaches, disinformation, market instability, and infrastructure failures. Join us for this important webinar where we dive into actionable steps you can take to mitigate the risks posed by Agentic AI. Designed for AI developers and enterprises looking to develop AI agents, this session dives deep into essential topics, including:
- The risks posed by Agentic AI through four critical lenses: Privacy and Data Breaches, Fraud and Finance, Physical Safety, and Influence Operations.
- How to detect unusual agent behaviors in each of these risk areas.
- Recommendations to mitigate risks without missing out of the benefits Agentic AI brings.
- Expert testing methodologies used by ActiveFence to test Agentic AI systems for reliability, safety, and compliance.
Secure your spot now and discover how to ensure your AI agents are secure and resilient for safe distribution and use across diverse applications.
Meet our speakers
What’s New from Alice
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In this episode, Mo Sadek is joined by Steve Wilson (Chief AI and Product Officer at Exabeam, founder and co-chair of the OWASP GenAI Security Project) to explore how OWASP is shaping practical guidance for agentic AI security. They dig into prompt injection, guardrails, red teaming, and what responsible adoption can look like inside real organizations.
Distilling LLMs into Efficient Transformers for Real-World AI
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.