The Faster The Better: Why Effective Cybersecurity Management Depends On Rapid Response To Threats
Prevention is better than cure.” Two decades ago, the cybersecurity domain diligently followed this general healthcare maxim. At that time, the threat landscape was largely driven by coders who were much more interested in gaining notoriety than with actually causing damage. Also, all potential network entry points were well-known to defenders, and IT security perimeters were both rigidly-defined and well-guarded. In most cases, installing firewalls and an antivirus solution was enough to protect enterprises against cyber-attacks.
How times have changed! The threat landscape has rapidly evolved. Cloud technology and enterprise interconnectivity has torn down the traditional security perimeter. Cybercriminals now deploy globally-scaled, highly-sophisticated attack campaigns. And in-house enterprise security teams now find it difficult to keep track of and mitigate the huge volumes of threats that they face on a daily basis.
The growing need for speed in the cybersecurity domain — and how AI-driven MDR services can help
Today, enterprises need to operate from a new maxim: “Breaches are inevitable.”
Regardless of how strong your security framework is, sooner or later you will be breached, making speed a much more critical component of modern cybersecurity operations than prevention. Swift threat detection and response helps you contain and mitigate successful attacks before they cause widespread impact, while minimizing your business’ downtime. Speed, and speed alone, prevents any breach you suffer from becoming a major security incident that compromises all of your networked nodes and affects your business’ market reputation.
However, speed in threat detection and response is difficult to achieve. As mentioned above, the sheer number of interconnected nodes has created multiple security vulnerabilities, providing cybercriminals with multiple points of entry into your networks. Attacks can literally come in from anywhere, which means you must analyse data through your entire IT stack to identify threats and vulnerabilities. Given the massive volume of data that businesses generate today, this task is something that human-only security teams – especially those using conventional cybersecurity tools – are ill-equipped to perform.
This is exactly where state-of-the-art security solutions—such as AI-Driven Managed Detection & Response (MDR) services—enter the picture. They use cutting-edge technologies like artificial intelligence, advanced security analysis, and machine learning to go through every piece of enterprise data to generate real-time threat insights. These insights are triaged based on their relevance, prioritised, enriched, and then presented to human experts, who then evaluate whether the alerts raised are false positives or actual attacks. Thankfully, AI-Driven MDR is self-learning, so this triaging becomes swifter and more precise over time, resulting in better threat detection and remediation.
AI-Driven MDR services also amplify the speed and accuracy of your response to ongoing attacks by identifying the most appropriate remediation action for each security scenario you encounter. These solutions log and evaluate— based on efficacy— the choices made by human experts in order to create security playbooks which are then used to automate security response against future threats.
The recent spate of large-scale attacks such as WannaCry have already shown how inefficient traditional security measures are against advanced threats. They make one point clear: Cybersecurity can no longer focus only on prevention; it also needs to become interventionist and surgical in its precision. And, just like surgery, the success of a security intervention is determined by the speed of your detection and response.