#Cybersecurity

Protect AI introduces tools for enhanced security of AI/ML software, catering to a broad array of professionals from developers to data scientists, aimed at fortifying systems against model serialization attacks.

Dive into the world of HTTP, the backbone of web interaction. Learn to analyze requests, use developer tools, and secure communications through HTTP/HTTPS. This guide offers insights for developers and cybersecurity enthusiasts to enhance their skills.

The University of Rochester has developed SDMQR codes, which improve security against QR phishing by using embedded cryptographic signatures. These codes maintain existing QR functionality while offering a more secure solution.

Critical U.S. government networks, once secure, are now exposed due to DOGE, making cyber-espionage easier, and risking data breaches.

Nandan Nilekani of Infosys highlights India’s crucial role in AI advancements, emphasizing large-scale technology development at the Munich Cyber Security Conference.

AI agents are meeting skepticism from logistics giants like DHL and Target at Manifest conference. Trust issues pose challenges for startups pitching AI solutions in the supply chain sector, from delivery optimization to rate negotiations.