Your employees adopt AI faster than security can approve it. Meeting assistants get connected to calendars, browser extensions read sensitive data, and AI agents run with permissions nobody signed off on. Most security teams can't say which AI tools are running, who uses them, or what those tools can reach.

In this 30-minute session, Abhishek Anbazhagan, Senior Product Marketing Manager at Abnormal AI, shows how Abnormal AI Governance uses email, OAuth, identity, and browser signals to discover sanctioned and unsanctioned AI tools and agents, score their risk, and enforce policy automatically.

You'll see how to:

  • Build a full inventory of the AI tools and agents in your environment

  • Assess risk based on what each tool can access and do

  • Enforce AI usage policies and steer employees to approved alternatives

  • Track AI adoption and spend across teams

Attendees are eligible for 1 CPE credit.
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Speakers
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Abhishek Anbazhagan
Sr. Product Marketing Manager, Abnormal AI

Abhishek is an experienced startup product strategy and marketing consultant who has been building products and organizations in one way or the other throughout his career. 

Prior to graduate school, he charted customer journeys to execute campaigns which increased customer adoption and growth by cross-functionally working with internal and external teams across Engineering, Product, Marketing and Sales functions. In addition to this, his drive to solve inefficiencies led him to build several tools using Google scripts to automate various analyses that enabled over 50 analysts to arrive at insights rather than spend time performing analyses. His proudest moment at Hiveminds was when he built a new business unit from the ground up by leading a team of 8 in under a quarter. Before Hiveminds, at AIG, he analyzed large datasets to price financial risks. Outside of his primary responsibilities, he also taught himself VBA programming and built a tool to automate data-prep processes which was subsequently used by over 350 Analysts and reduced processing time by 30%. At Duke, he recently led a team of 5 to build a lead-priority matrix for an SF-based unicorn by cross-functionally working with their Product Marketing and Sales functions.