A Smarter Approach to Protecting your Cloud, Data, and AI

A Smarter Approach to Protecting your Cloud, Data, and AI

The movement to the cloud has transitioned businesses and how they work, but the security and data tools used to tackle the new cloud challenges have not transitioned as well. And with all your data fueling the rapid adoption of AI applications, you now face an entirely new set of security risks. Why does it take so long for your cloud security and data tools to provide greater value? What can you do to enable the safe use of AI and associated data? Why can’t we utilize the data and AI to truly understand risk and manage the security posture of all your cloud, data, and AI? Wait… maybe we can.

Join this session to learn how you can forge a modern approach that integrates best-in-class technologies from cloud-native application protection platform (CNAPP) to data security posture management (DSPM), data security platform (DSP), AI security governance, and more. Learn how cloud security architects, vulnerability management, SOC, and GRC teams can combine the power of intelligent context, correlation, and threat intel to get into the mindset of an attacker and understand the risk patterns between modern apps, models, and data.

Key learnings

• Outcomes achieved from using AI to protect cloud, AI models, and data
• Building intelligent risk and threat analysis model for protecting critical infrastructure and sensitive data in the cloud
• Understanding the incident blast radius and implications of sensitive data exposure
• Scaling remediation practices for addressing cloud and data security issues
• Streamline compliance with security standards, global data protection regulations, and privacy laws

Speakers

• Tim Chase, Field CISO, Lacework
• Nikhil Girdhar, Sr. Director, Data Security, Securiti AI