Shailesh Athalye, Senior Vice President, Product Management, Qualys

AI and Large Language Models (LLMs) offer organizations the promise of security solutions with enhanced threat detection, predictive analytics, and automated responses. However, they also introduce new vulnerabilities and expand the attack surface, presenting unique risk management and remediation challenges.

Join us for an in-depth session exploring the complexities of securing AI and LLM deployments. This presentation will cover:

• Understanding the AI Attack Surface: Identify the potential vulnerabilities and attack vectors unique to AI and LLM systems as defined by tools like the OWASP Top 10 and the MITRE ATT&CK Framework.
• Risk assessment and mitigation strategies: Gain insights into best practices for assessing and mitigating risks associated with AI and LLM technologies.
• Real-world case studies: Examine scenarios where AI and LLM vulnerabilities have been exploited and learn from the successes and challenges faced by organizations in managing these risks.

Attendees will leave with actionable recommendations and tools to enhance the security posture of their AI and LLM initiatives. They will also learn how to effectively communicate the risks and benefits of AI to stakeholders while building a culture of security within their organization.