Businesses have struggled with cybersecurity since the dawn of cyber threats, but it is becoming more and more challenging as network infrastructure becomes more complex. What used to be a rack (or ten) of servers in a climate-controlled data center tucked away in the building somewhere has evolved into a hybrid or multi-cloud scenario with servers, applications, and data spread across the country and around the world over the internet. At the same time, DevOps, microservices, containers, and other advances in technology make the networks themselves more dynamic and volatile. Forbes
says it’s important for cybersecurity tools and practices to adapt to address these rapidly evolving needs.
Three Keys to Effective Cybersecurity
Regardless of the size of a business or what industry it’s in, there are three fundamental things that are essential for effective cybersecurity: visibility, context, and scalability.
Not all vulnerabilities or security issues are equal. Effective risk management and efficient use of resources require context. A vulnerability on a public-facing ecommerce web server is exponentially more critical than the same vulnerability on a server on an internal development network. IT teams need to understand the exposure of assets and the potential security or compliance impact in order to prioritize risk allocate resources.
One Platform to Rule Them All
Many businesses have a vast collection of cybersecurity point solutions. In most cases, the complex web of tools is not a “strategy” in the strict sense of the word. It’s the result of cumulative band-aids applied over years. The result may address cybersecurity concerns and provide some level of protection, but it is cumbersome and ineffective—and it is not scalable.
Focus on Risk Management, Not Integration
Another consequence of multiple cybersecurity platforms and solutions is integration. Even if the tools themselves are adequate, the organization needs to be able to view the big picture and manage the overall security posture. Some tools are easier than others to connect and integrate with one another to correlate results, but it often requires a fair amount of effort to get different tools to work with and talk with each other. Even after all of that, the output is still not ideal.