Sun.Sep 11, 2022

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John Watters on Why Google and Mandiant Are Better Together

Data Breach Today

Watters Can't Wait To Combine Google's Analytics and Mandiant's Intelligence Engine Combining the back-end data analytics of Google Chronicle with Mandiant's ability to identify signals of abnormal behavior on the front-end is an unbeatable combination, John Watters says. Google agreed in March to purchase threat intelligence and incident response titan Mandiant for $5.4 billion.

Analytics 244
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Security Affairs newsletter Round 383

Security Affairs

A new round of the weekly SecurityAffairs newsletter arrived! Every week the best security articles from Security Affairs free for you in your email box. If you want to also receive for free the newsletter with the international press subscribe here. IHG suffered a cyberattack that severely impacted its booking process China-Linked BRONZE PRESIDENT APT targets Government officials worldwide Scammers live-streamed on YouTube a fake Apple crypto event US Treasury sanctioned Iran ’s Ministry of In

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Weekly Update 312

Troy Hunt

I'm so excited to see the book finally out and awesome feedback coming in, but I'm disappointed with this week's video. I frankly wasn't in the right frame of mind to do it justice (it's been a very hard road up until this point, for various reasons), then my connection dropped out halfway through and I had to roll to 5G, and now I'm hearing (both from other people and with my own ears), a constant background noise being picked up by the mic.

Privacy 89
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Iran-linked APT42 is behind over 30 espionage attacks

Security Affairs

Iran-linked APT42 (formerly UNC788) is suspected to be the actor behind over 30 cyber espionage attacks against activists and dissidents. Experts attribute over 30 cyber espionage attacks against activists and dissidents to the Iran-linked APT42 (formerly UNC788). The campaigns have been conducted since 2015 and are aimed at conducting information collection and surveillance operations against individuals and organizations of strategic interest to Teheran.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.