AI with Intent: Enabling Faster, Smarter Security Decisions Webinar

Security professionals make critical decisions under pressure, but most AI tools fail them—burying signals in noise, lacking transparency, or slowing workflows. Join Seerist's Chief Product Officer Tim Roots and Machine Learning Engineer Noah Alexandroff for a practical look at how AI can be built with intent to support security operations in the field.

This session will explore why trust and credibility are non-negotiable in security, lessons learned from past shortcomings, and a demonstration of how purpose-built AI approaches can help cut through noise and deliver clear, reliable insights in minutes.

Register now to see how AI designed for security professionals enables faster, smarter decisions when it matters most.

Speakers*

Tim Roots: As Chief Product Officer at Seerist, Tim Roots leads a global team of product managers, designers, and intelligence leaders, ensuring clients have access to a cutting-edge, user-friendly security and risk intelligence platform. His leadership drives innovation and enhances Seerist’s capabilities in delivering advanced risk intelligence solutions.

Before joining Seerist, Tim held key leadership roles at Control Risks, including Partner and Global Head of Online and Strategy Director of Markets and Partnerships. He has also served as Chief Operating Officer at Monotoux and held various strategic roles at New Zealand Trade and Enterprise.

Tim holds a Master of Science in Environmental Policy and Regulation from The London School of Economics and a Bachelor’s Degree in Management and International Business from Victoria University of Wellington.

Noah Alexandroff: In his role as a Machine Learning Engineer at Seerist, Noah Alexandroff develops natural language processing solutions that extract meaningful insights from Seerist’s extensive data sources. He has been a key contributor to the design and advancement of DiscoverAI and ExploreAI, ensuring clients can access timely, relevant intelligence.

Noah has over five years of experience applying data science and machine learning techniques across complex domains. Prior to joining Seerist, he was a Data Scientist at the Naval Nuclear Laboratory, where he developed data-driven models to support engineering analysis and decision-making.He holds both a Bachelor of Science and a Master of Science in Mechanical Engineering from Carnegie Mellon University.

*Note: Speakers and content are subject to change without notice.

Topic: Digital Transformation

Credit Information: Completion of this webinar is eligible for 1 CPE credit.  CPE credits for ASIS-sponsored webinars will be updated in your user profile within 48 hours of completion.  Self-reporting of CPE credits is not required.