Béatrice Moissinac, PhD
Hello, world! 👋 Welcome to BeaBytes.
My goal is to help you understand AI and equip you with enough conceptual (but not technical) fluency to fight off the snake oil merchants.
I reserve the right to change my mind at any time.

contact -at- beabytes -dot- com

© 2013-2025 Béatrice Moissinac, all rights reserved.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of my employer or sponsors.

Upcoming & Past Talks

An up-to-date lists of talks I have given, or will give.

Upcoming Talks

More coming soon!

Past Talks

2025

OWASP Krakow (Nov 2025)

An awfully quick introduction to AI Governance & AI Security, that points you to resources to learn more about how to build AI Trust in your organization.

NYC Women in Machine Learning & Data Science (Oct 2025)

OneTrust Trust Week San Francisco (Sept 2025)

  • Panel: In the loop: How leaders are transforming AI governance
  • 📆 Session Outline

OneTrust Webinar (July 2025)

AI Agent Security Summit NYC (April 2025)

  • Title: An AI, Software Engineer, and Security Researcher Walk Into a Bar…
  • 📆 Session Outline
  • 🗂️ Slides

GenAI heightens the need for both AI and security experts to come together. But given their widely diverging views on technology, risk acceptance, and more, can Security and AI ever see eye to eye? We will recommend concrete actions for efficient, and durable integration of AI, Engineering, and Security teams.

CISO 360 Americas NYC (April 2025)

2024

Pride Summit Lesbians Who Tech NYC (Sept 2024)

GenAI heightens the need for both AI and security experts to come together. But given their widely diverging views on technology, risk acceptance, and more, can Security and AI ever see eye to eye? We will recommend concrete actions for efficient, and durable integration of AI, Engineering, and Security teams.

Pride Summit Lesbians Who Tech Online (June 2024)

GenAI heightens the need for both AI and security experts to come together. But given their widely diverging views on technology, risk acceptance, and more, can Security and AI ever see eye to eye? We will go over the lessons learned at Okta, and recommend concrete actions for efficient, and durable integration of AI, Engineering, and Security teams.

European Identity & Cloud (EIC 2024)

Bots are a scourge on customer identity and access management systems before, during and after the login process. How can we use the power of AI to find malicious bots and protect users while minimizing friction? This session presents real-life examples of bot attacks, AI-based bot mitigation techniques, quantifies their efficacy, and explores what’s next for AI in cybersecurity.

AI vs. Security Summit

  • Title: The evolution of identity in AI, ML, and GenAI.
  • 🎥 Watch here

Everyone is using AI now, including security attackers. Threats to your organization’s infrastructure and data are getting more effective and less detectable than ever, thanks to generative AI tools like ChatGPT. That’s on top of the usual villains like nation-state attacks, ransomware groups, human error, and bad IT security hygiene. Now’s the time to get up to speed on the latest AI-powered threat actors and learn how to fight fire with fire with intelligence-driven security.

Black Hat Webinar

  • Title: The evolution of AI, ML, and genAI in Identity products and solutions
  • 🎥 Watch here

How have AI and Machine Learning been traditionally used in Identity? How has the landscape dramatically evolved with the introduction of Gen AI in identity and cybersecurity? We cover the leading use cases for Gen AI in identity (e.g. auto-generated entitlements, identity insights, identity lifecycle remediation, improving the customer identity experience, reducing login restrictions and workflow automation).

Identity, Authentication and the Road Ahead Policy Forum

  • Panel: AI is Here - What does It Means for Identity?

As part of a panel on AI and Identity Policy, I answered questions regarding the impact of AI for identity, as a threat and as a mean for a more secure future. My main take-away for policy and industry specialists is the crucial importance of supporting the use of AI in attack detection and protection, and the need for greater collaboration between security and AI experts.



2023

Conference on Applied Machine Learning for Information Security (CAMLIS 2023)

  • Title: Detecting SQL Injection Attacks using Machine Learning

Our full paper propose a simple, efficient, and effective method using a large real-world data set of URL requests to build a language mixture model. While this work is academic, a particular attention has been given to the production constraint of a real-world system. Our paper is available here.

CAMLIS 2023 Poster Session