According to new research from Zscaler, enterprise AI adoption skyrocketed in 2024, with a staggering 536.5 billion transactions from AI/ML applications observed in the Zscaler cloud – a nearly 40x surge year-over-year.

Yet, at the same time, primarily because of data security and privacy concerns, 60% of all AI/ML transactions were blocked by organizations.

The stark truth: As Generative AI revolutionizes the technology sector, organizations face mounting pressures to innovate while protecting their sensitive data and systems from emerging risks.

The widespread adoption of AI introduces both transformative opportunities and new vulnerabilities, especially as adversaries increasingly leverage AI to target critical systems. For tech companies, integrating AI into cybersecurity strategies is no longer optional – it’s essential to stay ahead in a rapidly evolving threat landscape.

This interactive roundtable brings together IT decision-makers and security leaders to explore practical approaches for mitigating data risks while strategically deploying AI for cybersecurity and workplace innovation. Leveraging insights from the 2025 Zscaler ThreatLabz AI Security Report and real-world applications, the session will focus on safeguarding intellectual property, managing AI-driven workflows and developing robust security practices that adapt to the complexities of the modern threat environment.

Among the discussion points:

• How can technology firms leverage AI for proactive threat detection, automated response systems and predictive analytics to outpace increasingly sophisticated attackers?
• What are the best practices for integrating AI into cybersecurity frameworks while preserving data integrity and compliance.
• What criteria should technology companies adopt to evaluate AI solutions for both security and business performance alignment?