Intelligent CIO Middle East Issue 37 | Page 102

////////////////////// FINAL WORD False negative vs false positive: How can Next-generation SIEM help? There is no doubt modern-day hackers are able to evade the preventative and detective measures of both new and old security infrastructures. However, as Ross Brewer, VP and MD EMEA at LogRhythm, tells us technology such as Artificial Intelligence can advance the science of threat detection. T oday’s organisations are facing an increasingly different calibre of cyberthreat. Modern-day hackers are able to evade the preventative and detective measures of both new and old security infrastructures and are unfortunately a daily probability for security teams. They are dealing with a class of threats that leverage zero-day exploits, develop targeted and stealthy malware, or operate from within the perimeter as a malicious insider or imposter. The difficulty for organisations to detect this class of threat, is having to find the right balance between false negative risk and false positive frequency. However, technology such as Artificial Intelligence (AI) can advance the science of threat detection to accelerate the speed and accuracy, while reducing the bane of all security operations centres. False negative vs. false positive A false negative is a security incident that was not detected in a timely manner. For 102 INTELLIGENTCIO example, a phishing attack resulting in a compromised user account that goes unnoticed by the security team until more damage occurs. A false positive, on the other hand, is an alarm generated by security systems that indicates a security incident has likely occurred when, in fact, everything is normal. Enterprises must find their own balance when it comes to false negative risk verses false positive frequency. Realistically, organisations that want to reduce false negative risk will need to accept increased false positive frequency and staff their security operations centre appropriately. Unfortunately, some vendors sell AI and Machine Learning (ML)-based behavioural anomaly detection as an easy button for advanced threat detection and false positive reduction. The silver bullet story is too good to be true and organisations that believe it’s easy are in for an unfortunate reality check – likely to be realised in the form of a high-impact and embarrassing data breach. www.intelligentcio.com