Malvertising is one more threat that will keep your IT decision-makers up at night, but any company with a protection-first mindset should be able to remain ahead of the curve.
Standards, baselines and naming conventions can remove barriers to threat detection and response and help security teams build effective SIEM use cases.
Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.
There is no single answer to the question of how to best use data encryption. Depending on their application and data types, organizations will likely need to apply different architectural patterns.
The concept of mutually assured destruction (MAD) has historically prevented nuclear war, but threat actors' advanced obfuscation techniques have made cyber deterrence difficult if not impossible.
One cybersecurity capability that continues to prove it's here to stay is threat hunting, a proactive approach to discovering and mitigating threats.
Mobile threats are growing both in number and severity. To protect crucial data, organizations need mobile threat defense solutions that can replicate the accuracy of manual analysis on a large scale.
The main characteristics of a SIEM leader are centered around innovation in early threat detection, adaptation to customer environments and strong market presence.
Thanks to a wealth of new capabilities, security operations teams that leverage a cutting-edge SIEM platform are better armed to defend their organizations from advanced and insider threats.
By understanding the basics of DNS analytics, the common methods of attack and the tools available to security teams, you will be better prepared to protect your enterprise from hidden cyberthreats.