Tag: AI

ABSTRACT

As AI-powered threats, automation, and adaptive attack techniques accelerate, today’s networks can no longer rely on static controls or reactive defense models. They must evolve into intelligent, self adapting systems capable of anticipating, mitigating, and responding to threats in real time. This session explores how modern security architectures can be engineered to defend proactively shifting from traditional perimeter defense to dynamic, intelligence-driven resilience.

Attendees will gain insights into how integrated security capabilities work together to create adaptive, self-defending network ecosystems, including:
Zero Trust models that continuously validate identity, context, device posture, and trust levels.
SASE frameworks that converge networking and security at the edge, ensuring consistent, cloudfirst protection for distributed users.
DNS security and NDR analytics that expose hidden anomalies and early indicators of compromise.
Next generation firewalls, WAF, bot mitigation, and DDoS controls that deliver adaptive, policy driven enforcement across layers.
Microsegmentation to minimize lateral movement and contain potential breach impact.
AI-based monitoring and alerting that detect behavioral deviations, reduce noise, and elevate critical threats with precision.
Automated response and orchestration that accelerate containment and recovery with minimal human intervention.

Grounded in real time operational experience across complex, globally distributed enterprise environments, this session provides a practitioner’s view of how modern, intelligent networks behave when confronted with real world attacks. Through attack scenario walkthroughs, attendees will see how AI-enabled detection, adaptive controls, and automated response mechanisms allow networks to dynamically adjust under pressure, maintaining continuity even as threats evolve. The session distills frontline operational lessons into practical architectural strategies, empowering participants to design resilient, adaptive networks capable of detecting, responding to, and countering the accelerating sophistication of AI-enabled threats.

BIOGRAPHY

Swathy Srinivasan is the Director of Application Networks at S&P Global in Canada, where she leads global teams responsible for architecting secure, resilient, and high performing network services for mission critical platforms. With over 15 years of industry experience across Canada, Singapore, and India, Swathy has held impactful roles at organizations such as S&P Global, Visa, Dell, driving large scale network modernization and security transformation initiatives.

She is a CISSP certified and a CQI & IRCA Certified ISO/IEC 27001:2013 Lead Auditor, complemented by a broad portfolio of security certifications from leading vendors including Cisco, Juniper, Palo Alto Networks, Zscaler, Imperva, Check Point, Akamai, and others. Her expertise spans network security architecture, Zero Trust adoption, cloud-first security models, and integrating AI-driven adaptive defenses into enterprise environments.

Swathy holds a Master of Engineering degree in Internetworking from Dalhousie University in Halifax, Canada. Passionate about advancing the cybersecurity community, she frequently speaks on topics related to secure network design, automation, AI-enabled defenses, and building modern architectures that are resilient, intelligent, and ready for the threats of tomorrow.
Linkedin:
https://www.linkedin.com/in/swathy-srinivasan-78120ba2

ABSTRACT

This presentation is an overview of the recent developments in artificial intelligence and it’s tools, including chatGPT. Topics covered: What is artificial intelligence? How is chatGPT different from a web search? What are the pros and cons of AI? How can criminals use artificial intelligence and what are some of its perils? And finally, how should governments and companies handle this technology?

BIOGRAPHY

Alain has been working with digital evidence for over 15 years, including with his company, Alphafox Forensics. He is a retired Sergeant of the RCMP with 29 years of policing experience. The last 10 years of his career were spent with the RCMP’s Digital Forensic Services as an examiner and team leader. He is a graduate of the computer forensics program of BCIT. He is certified as a computer and mobile forensic examiner and is a Certified Information Systems Security Professional (CISSP). He holds other certifications, including being an EnCase Certified Examiner and a court-recognized computer and mobile forensics expert. He has supported major investigations as an examiner including internet child exploitation, commercial crimes, organized crime, and national security.