Brewing Cybersecurity Insights

Category: Cybersec.cafe (Page 2 of 2)

Exciting Collaborations on the Horizon: Gear Up for Cyber Insights!

Greetings, fellow cyber enthusiast! I’m back!

For those who missed me the reason is to be ascribed to my recent job change.

I’m thrilled to announce that in the next months I will be speaker to a couple of interesting events in Milan. The next one is the 12th of March and of course I’ll talk about AI Cybersecurity.

Back to the main news: in just a few days, I’ll be embarking on a series of captivating collaborations with some esteemed minds in the cybersecurity field in Cybersec.cafe and I’ll be guest of another blog that will be revealed in due time.

Buckle up, because we’re diving deep into valuable insights you won’t want to miss. While I can’t reveal all the surprises just yet, let me assure you that these partnerships will bring together diverse perspectives and a wealth of experience. We’ll be tackling some pressing issues in the world of cyber.

The next guest will be Fabrizio Cilli and he will discuss the 23andMe breach and its implications in terms of shared responsibility in cybersecurity – sorry I won’t disclose more as spoiler is a capital crime nowadays but trust me, you won’t want to miss this!

Stay tuned for further details future announcements.

See you soon!

P.S. Want to be the first to know when the collaborations kick off? Follow me on linkedin and keep an eye out for updates!

Unveiling the OWASP Top 10 for Large Language Models

I am proud to announce the release of the OWASP Top 10 for Large Language Models (LLM) Applications.

This noteworthy initiative, to which I’ve contributed, is dedicated to outlining a list of vulnerabilities specifically applicable to applications leveraging LLMs.

This document, developed under the umbrella of the OWASP Foundation, targets developers, security experts, and even citizen developers who are building applications using LLM technologies. It aims to provide them with actionable, practical, and concise security guidance.

While acknowledging the potential vulnerabilities inherent to LLMs, this Top 10 guide dives deep into each security risk, discussing their potential impacts, their prevalence, and offering effective mitigation strategies. Each risk is ranked based on its exploitability, prevalence, detectability, and potential harm, providing a comprehensive understanding of the LLM application security landscape.

As a contributor to this significant initiative, I’m extending my heartfelt appreciation to my fellow contributors and the entire OWASP community.

This project could not have been possible without the invaluable expertise and relentless dedication of nearly 475 professionals.

I invite everyone to delve into, share, and apply the OWASP LLM Applications Top 10 in your AI ventures. Let’s ensure the secure and robust deployment of applications that include LLMs.

Here is the link: https://owasp.org/www-project-top-10-for-large-language-model-applications/

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