Businesses today collect huge troves of data from across multiple points-of-contact, any of which could be used by a cybercriminal to breach the network. MDR services deploy omnichannel analytics to process massive volumes of global as well as organisational data from various sources such as network, application, endpoints, or user access etc. Artificial intelligence is used to identify potential threats, vulnerabilities, and possible breaches, both within and outside the system, while the insights are acted upon by human cybersecurity experts to deliver holistic defence. Take Paladion’s left-of-hack to right-of-hack MDR services, for example. By leveraging AI for analysing existing vulnerabilities and potential threats relevant to a specific IT system, it can anticipate known and unknown threats much before an attack is actually launched to hunt them down. Security logs and events are additionally evaluated with real-time rules to detect attacks and compliance violations.
Paladion’s MDR uses supervised algorithms against the unsupervised algorithms attackers are deploying today to effectively combat AI based cyber-attacks. They also constantly analyse incident reports to identify which security alerts are caused by actual attacks and queues up the most relevant response for every attack vector, so you can outrun today’s sophisticated attackers. This allows for near-instant containment, mitigation, remediation, and recovery in case of a system breach. Post-incident analysis is also deployed to extract key insights from a security breach, using it to further strengthen the existing cybersecurity framework and ensuring that the system is made immune to other threats following similar attack vectors.
Payments to the tune of $2 billion were made to cybercriminals using ransomware in 2017, while losses from compromised business email scams are expected to exceed $9 billion in 2018.
The rising number of successful large-scale botnet attacks, such as that on Dyn, is further proof that the walls of hitherto secure network fortresses have crumbled, their perimeters permeable and no longer rigidly defined.
As the world becomes more interconnected and digitally-led, the only practical solution in an increasingly chaotic and threat-prone business landscape is making AI-driven MDR an integral part of cybersecurity frameworks. Organisations across the world are increasingly bringing on board domain-leading service providers – with years of experience in anomaly investigation, forensic capabilities, and response playbooks – to deploy MDR-led cybersecurity solutions. The writing on the wall is clear. Adopting AI-driven MDR is no longer a matter of ‘whether’ global businesses will adopt this new cybersecurity paradigm; it is a simply a question of ‘when’.