Cybersecurity with AI and for AI: a real-world industry perspective
Just Added

Cybersecurity with AI and for AI: a real-world industry perspective

By KU Leuven: DistriNet

Join our expert gathering where cybersecurity experts share real-world experiences on securing AI systems & enhancing security with AI.

Date and time

Location

KU Leuven Campus Arenberg III

200 Celestijnenlaan 3001 Leuven Belgium

Good to know

Highlights

  • 4 hours, 30 minutes
  • In person
  • Free venue parking
  • Doors at 1:00 PM

About this event

Cybersecurity with AI and for AI: a real-world industry perspective

Cybersecurity and AI are deeply interconnected. Advanced AI techniques are increasingly being used to enhance security and privacy solutions, while at the same time, state-of-the-art AI systems themselves need built-in security and privacy safeguards to remain reliable and resilient.

This expert gathering offers an industry-focused look at both sides:

- How AI is strengthening the security capabilities of leading organizations.

- How AI systems themselves must be secured, to protect against misuse, manipulation, and vulnerabilities.

Join our afternoon session and learn from experts as they share real-world experiences, open challenges, and best practices. Whether you stay for the entire session or drop in as your schedule allows, this is an opportunity to exchange knowledge and gain practical insights into one of today’s most urgent topics.

Supported by the Cybersecurity Research Program Flanders.

AGENDA:

13:00 – Welcome and registration

13:30 – PART 1: Industry research and experience on the (in)security of GenAI

- Kathrin Grosse, IBM Zürich. "From AI Vulnerabilities to AI Security Incident Reporting and Beyond."

- Andrew Paverd, Microsoft Security Response Center, Cambridge. "Lessons Learned from Two Years of Generative AI Vulnerability Response."

15:30 – Break (registration for part 2 attendants)

16:00 – PART 2: Industry case studies with live demos of AI-powered security solutions

- Matthew Silver, VP of Data Science at Vectra AI and Stijn Rommens, Vectra AI. "Self-supervised pretraining and generative models for command and control detection."

- Brandon Schultz and Yves Younan, Cisco Talos. "SnortML: Machine Learning based Intrusion Prevention."

17:15 – Panel on real-world security impact and on security applications of AI.

18:00 – Networking reception

** Abstracts are available here **

VENUE ADDRESS AND PARKING:

Venue: Aula Duval (ground floor), Building 200A, Computer Science Dept., KU Leuven Arenbergcampus III, Celestijnenlaan 200A, Heverlee.

Parking: Kapeldreef car park, Heverlee

Parking access code: 76780# (enter code for entry + exit)

Organized by

KU Leuven: DistriNet

Followers

--

Events

--

Hosting

--

Free
Sep 11 · 1:30 PM GMT+2