66% of organizations are testing, planning, or already developing GenAI applications, with an average of nearly 14 applications simultaneously. This can introduce new and increasing security threats. In this session, we will demonstrate how Microsoft can help you enable data security and compliance controls for your custom AI apps, manage vulnerabilities in your AI stack, and detect and respond to emerging AI threats such as prompt injections and model theft.
Neta Haiby
Partner Product Manager
Neta Haiby leads Security for AI at Microsoft. She is a product leader with a passion for developing impactful AI services at a global scale.
John Israel
CISO
I am a business oriented CISO, and IT executive, with over 28 years of international leadership experience across Europe, Asia and the Americas. I believe that combining diverse perspectives with bold, timely decisions can transform the world. I take pride in challenging the status quo and grafting together the goodness of principled thinking, analytical decision-making, and diverse leadership experiences.
Shilpa Ranganathan
Principal Group Product manager
Seasoned product leader with a track record for driving new product categories from initial concepts to successful delivery and market leadership for solutions in Enterpise Data Security and AI, Compliance, Privacy, cloud productivity space.
Gopal Shankar
Senior PM Manager
Gopal Shankar is the Senior PM Manager within Microsoft's Security Engineering division. He leads the Defender for Cloud customer acceleration team, focusing on improving posture and threat protection for Storage, Database, Data Security Posture Management, and enterprise Gen AI applications. Gopal is an active ISC2 member, holding CISSP and CCSP certifications.