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Charles Givre
Experienced cyber security data scientist and data engineer. CISSP | Ex CIA, JP Morgan. GenAI | NLP | Python | SQL | Java | Speaker | Blackhat Instructor and O'Reilly Author | Classic car enthusiast.
Charles Givre is a Senior Technical Lead at RTX, with a robust background in the intelligence community and cybersecurity, spanning over 18 years. He is based in the Miami-Fort Lauderdale area and has held various significant roles throughout his career.
Professional Background
- Current Position: Senior Technical Lead at RTX.
- Previous Experience:
- CEO and Co-Founder of Quilr and DataDistillr.
- Vice President at JPMorgan Chase & Co., focusing on Data & Analytics within Cybersecurity Technology and Controls.
- Lead Data Scientist at Deutsche Bank.
- Counter Terrorism Analyst for both the Central Intelligence Agency (CIA) and Booz Allen Hamilton.
Academic Involvement
Givre also contributes to academia as an Adjunct Professor at the University of Maryland Baltimore County and has previously served as a Program Chair for Strategic Analytics at Brandeis University.
Skills and Expertise
He specializes in data science, machine learning, and cybersecurity. His technical skills include proficiency in Python, SQL, Java, and experience with Generative AI and Natural Language Processing (NLP) technologies.
Honors and Awards
Givre has received several awards throughout his career, including:
- Exceptional Performance Award from the CIA for outstanding analytic work.
- Multiple Performance and Team Awards from Booz Allen Hamilton for contributions to training and development.
Languages
He is proficient in multiple languages, including English (native), French (professional working proficiency), Spanish (limited working proficiency), and Hebrew (elementary proficiency).
Overall, Charles Givre's extensive experience in cybersecurity and data science, combined with his academic contributions, positions him as a notable figure in his field.
Highlights
I just returned from BlackHat in Vegas and am not a happy camper. Usually when I go to conferences I return inspired and full of new ideas. This year, I came back genuinely scared. I attended a series of talks about AI and here were the main points:
- Gen AI cannot be used to secure Gen AI.
- Gen AI is a very immature technology, and despite that companies are going all in without a clear understanding of the risks.
- Nobody and I mean nobody knows how to secure it.
In almost every presentation I heard, they all circled around to that last point: nobody really knows how to secure it.
Let me explain the implications a bit more. Let's say you are using an LLM with RAG to summarize incoming emails. It is entirely possible for an attacker to craft an email with a malicious prompt to gain access to your infrastructure. Basically, any situation where a user is providing input to an LLM is opening up the possibility for a malicious actor to launch a remote code execution attack on your system. And there's no way to stop it.
Happy Friday!
Dear Google, Can we please not use the @YouTube app for 2FA, especially for G-suite accounts? Thanks so much.
