Strategies for Safeguarding AI in Applications, Agents, and APIs
AI integration is advancing swiftly in enterprises, often outstripping security teams. With GenAI apps and LLM APIs creating new vulnerabilities, robust safeguards are crucial. Join this edition of Ask Bob to discover strategies for securing GenAI depl...
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AI integration is rapidly evolving within enterprises, often outpacing the ability of security teams to keep up. With GenAI applications, agentic workflows, private models, and LLM APIs opening new vulnerabilities, the need for effective safeguards is paramount.
Join us for this insightful edition of Ask Bob, where we will cover essential strategies to:
- Secure and manage GenAI application deployment
- Implement real-time controls to thwart prompt injections and jailbreaks
- Safeguard API traffic between apps and LLMs in private settings
- Enhance visibility into agentic AI and MCP interactions
- Assess and strengthen private models prior to production