Future of Agentic AI

Overview

As AI systems become increasingly autonomous, they introduce a new spectrum of sophisticated threats that demand urgent attention. From identity exploitation and application-layer manipulation to data breaches and exfiltration, these evolving risks are pushing the limits of existing security frameworks.

While agentic AI unlocks transformative business potential, security teams must prioritize robust protection across application layers and sensitive data to seamlessly integrate AI workflows into their ecosystems.

This summit will explore cutting-edge strategies to safeguard end-to-end AI architectures, equipping you with the tools and insights to stay ahead of emerging threats.

What You’ll Learn:

AI Use Cases and Their Security Risks : Understand the unique vulnerabilities introduced by autonomous AI applications.

Proven Strategies for Secure AI Deployment : Discover best practices to fortify AI systems against advanced threats.

Holistic Protection Solutions : Learn how to secure data and application layers throughout the entire AI lifecycle.

What to expect

• Attendees 200+
• Sessions 6 Live
• Insights AI Security
• Innovations New Strategies

What we will cover

• Whats the Emerging Threats in Agentic AI? Explore the unique security challenges posed by autonomous AI, including identity abuse, application-layer attacks, and data exfiltration risks.
• How to Secure the AI Workflows? Discuss actionable strategies to harden AI deployments against advanced threats, ensuring resilience across diverse use cases.
• What solutions ensure end-to-end protection for AI applications and data? Examine solutions to safeguard sensitive data throughout the AI lifecycle, from input to output, preventing breaches and unauthorized access.
• How can security teams adapt to the evolving threat landscape of autonomous AI? Highlight innovative approaches to protect AI application layers, ensuring secure integration and operation within enterprise environments.

Agenda

• 11:00 am End-to-End Application and Data Protection for AI(End-to-End Application and Data Protection for Agentic AI) As AI systems grow more autonomous, it creates a new wave of threats and a new kind of urgency. From identity abuse to application-level manipulation and data exfiltration, these new behaviors are already testing today’s security procedures. While autonomous AI promises major business gains, security teams need to ensure a comprehensive protection of both the application layers and underlying data when integrating AI workflows into their environments. This webinar will delve into the latest strategies for securing end to end AI architectures. We’ll cover: AI use cases and their unique security challenges. Strategies to secure AI deployment. Solutions to provide end-to-end protection for your data and application layers throughout the AI lifecycle.

Speakers

• Matthew White · VP Cyber Security Specialist Team, Thales
• Reinhart Hansen · Director of Technology, Office of the CTO, Thales

Partners

• Thales Thales is a global leader in cybersecurity, helping the most trusted organizations protect critical applications, data, identities, and software anywhere, at scale. Through Thales’ integrated platforms, customers achieve better visibility of risks, defend against cyber threats, close compliance gaps, and deliver trusted digital experiences for billions of consumers every day.

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