Cloud security is one of the most rapidly changing technology landscapes out there. And naturally, the market for security tools is also constantly evolving as stakeholders continue to develop an understanding of how important a mature security posture is to the entire organization — from innovation to sales to ongoing brand and customer success.
Throughout the industry, different security solutions solve different problems for different types of businesses: There is no “one-size-fits-all-cloud-security-silver-bullet.” Being able to cut through the hype, promises, and buzz to figure out which solutions are actually suited to your specific use cases can be a challenge.
So in this post, we’re offering guidance on what some of the broader categories of cloud security solutions do and do not offer, and how they deliver security information and alerts to their end users. In turn, we’ll take a look at using Network IDS tools, using point solutions to build your own security stack, jumping into the emerging world of machine learning (ML), and deploying a comprehensive cloud security platform that not only provides a wide range of security functionality but also integrates security into your existing DevOps workflows and provides a foundation for constantly improving your security maturity. Read more “Machine Learning, Signatures, Rules, & Behaviors — Tips on Navigating Modern Cloud Security Solutions”