From chatbots mimicking humans to voice synthesis and deepfakes that disorient and deceive, learn about AI’s role in Social Engineering.
Cyber Threat Intelligence (CTI) is actionable Intelligence data pertaining to an organization’s information systems, networks, or digital assets that is intended to inform Cybersecurity and Threat Intelligence teams about potential risks and existing or emerging threats. As cybercriminals continue to grow more sophisticated in their attack tactics, gathering and leveraging cyber threat intelligence is a critical element to protecting your infrastructure and assets against cyber attacks and building a proactive, rather than reactive, cyber defense strategy.
AI-fueled social engineering tactics are a potent initial infection vector for ransomware as well as a myriad of other cyber threats.
AI isn’t a magic fix for alert fatigue. See what it really takes to slash false positives and solve the complexities of alert management.
This post explores Defense-in-Depth, a comprehensive strategy with a multi-layered approach to modern threat protection.
This post explores the integral role of threat intelligence in a Defense in Depth strategy and the necessity of high-quality threat data.
The third post in the threat feed evaluation series, this blog outlines the essential questions to address during the feed evaluation process.
Part 2 in the series, this post addresses the most common misconceptions that can skew or misrepresent the results of a threat feed evaluation.
Part 1 in a series on how to evaluate threat feeds, this post focuses on the key areas to measure to help guide your decision making process.
Curated threat data delivers the true value of threat intelligence by offering the right data, accurately interpreted, and actionably presented.
Explore the top 5 reasons why high-quality, curated threat intelligence data is superior to raw threat data for adequate threat protection.