Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

I’ve been in the cybersecurity industry for over 36 years. Surprisingly, hackers and malware haven't changed all that much. The malware today is not all that different from the stuff I was disassembling for John McAfee back in the late 1980s and early 1990s. A lot of the involved programming languages, technology and communication channels have changed, but not how malware operated and what it did. We had ransomware back in 1989. We had polymorphic, crypto-morphing malware back then.

AI (Artificial Intelligence) is a broad concept encompassing machines that simulate or duplicate human cognitive tasks, with Machine Learning (ML) serving as its data-driven engine. Both have existed for decades but gained fresh momentum when Generative AI, AI models that can create text, images, audio, code, and video, surged in popularity following the release of OpenAI’s ChatGPT in late 2022.

We are excited to announce Detectify Alfred, a revolutionary system that uses AI to completely autonomously collect and prioritize threat intelligence and generate high-fidelity security tests for the CVEs that are most likely to be exploited in the wild.

Every hype cycle brings fresh security concerns, and AI is no exception. AI governance might sound like uncharted territory, but it’s really just another evolution of the same security principles AppSec teams have been applying for years. The fundamentals—secure coding, risk management, compliance, and policy enforcement—haven’t changed.