Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

ChatGPT is proving to be something of a double-edged sword when it comes to cybersecurity. Threat actors employ it to craft realistic phishing emails more quickly, while white hats use large language models (LLMs) like ChatGPT to help gather intelligence, sift through logs, and more. The trouble is it takes significant know-how for a security team to use ChatGPT to good effect, while it takes just a few semi-knowledgeable hackers to craft ever more realistic phishing emails.

New applications emerge at an almost impossible to keep-up-with pace, creating a constant challenge and blind spot for IT and security teams in the form of Shadow IT. Organizations must keep up by using tools that are automatically updated with latest developments and changes in the applications landscape to maintain proper security. An integral part of any SASE product is its ability to accurately categorize and map user traffic to the actual application being used.

Amid growing concerns about the integrity of upcoming European elections in 2024, the 11th edition of the Threat Landscape report by the European Union Agency for Cybersecurity (ENISA), released on October 19, 2023, reveals alarming findings about the rising threats posed by AI-enabled information manipulation.

The major news in technology policy circles is this month’s release of the long-anticipated Executive Order (E.O.) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. While E.O.s govern policy areas within the direct control of the U.S. government’s Executive Branch, they are important broadly because they inform industry best practices and can even potentially inform subsequent laws and regulations in the U.S. and abroad.