Session Abstract:

Cyber threats today are evolving at an extremely rapid pace, while traditional security measures have now failed to keep up. This session will examine how artificial intelligence (AI) and machine learning (ML) empower and reshape cybersecurity by giving organizations the capabilities to predict, prevent, and respond to threats in real-time fashion. Through AI-driven threat intelligence, enterprises should be able to discover vulnerabilities, mitigate risks, and improve defensive mechanisms. We will examine real-life case studies, the latest tools, and discuss aligning AI-based solutions with regulatory compliance and privacy. Attendees will walk away with action points that spur innovation within their teams, hence enhancing the security posture in the digital age.

Learning Objectives:

• Understanding How AI and ML Fit into the Cybersecurity Landscape: Get to grips with AI and ML technologies are transforming the way threats are detected and responded to, and why this is vital in today's security world.
• Artificial Intelligence Solutions Adoption: Understand immediate, practicable implementation recommendations for AI tools and techniques aimed at improving threat intelligence and automating incident responses.
• Aligning with Advanced Compliance Requirements: Solidify strategies for assuring that AI-driven cybersecurity endeavors are centered on current and emerging regulatory compliance and privacy priorities.
• Nurture a Culture of Innovating: Learn leadership ways to nourish a culture of innovation and cut-edge solutions within cybersecurity teams.

Target Audience:

• CISOs, CIOs, and CTOs
• Security Architects and Engineers
• IT Managers and Directors
• Threat Analysts and Incident Responders
• Compliance and Risk Officers

Session Format:

• 45-minute Presentation (with 10 Minutes for Q&A)
• Introductory Remarks: The current state of cybersecurity is routinely undermined by traditional approaches (5 minutes).
• AI-Driven Threat Intelligence: The use of AI for the detection, analysis, and prediction of threats (10 minutes).
• Case Studies: Examples of organizations taking AI for cybersecurity (10 minutes).
• Implementation Framework: A practical guide to adopt AI-driven solutions in compliance with regulatory requirements (10 minutes).
• Q&A: Open discussion with the audience (10 minutes). 

Speaker Bio:

Gautam Solaimalai is a best-associated Senior Software Engineering Manager with 15 years of functional experience in enterprise architecture and technical management. Passionate about cybersecurity and digital transformation, he has led high-impact projects where AI, cloud computing, and secure enterprise applications meet. An IEEE member and peer-reviewer, Gautam has published extensively on the subjects of AI-enabled security solutions and energy-efficient technologies in various tech-related magazines. His expertise in innovating, leading cross-functional teams, and aligning Technology Initiatives with business goals puts him in high demand in the industry.

Why This Session is Valuable:

The practical exploration of AI/ML applications contained within this presentation will assist all attendees with navigating the ever-changing threat landscape, meeting regulatory challenges, and driving innovations for the entire organization, perfectly in tune with the theme of the InfoSec World 2025 conference, "Driving Transformative Changes in Cybersecurity." Actionable takeaways and validated best practices will leave audience members inspired and equipped to lead the next generation of innovations in cybersecurity.