Self-Learning AI enables autonomous decision-making – machines that understand the digital environment, and calculate judgements about the right actions to take to defend it. These actions are precisely calibrated to ensure that the intervention is minimal, avoiding any disruption.
Machines fight back
As cyber-attacks like ransomware unfold at computer-speed, human security teams find themselves unable to react quickly enough. Attackers are also increasingly striking out-of-hours, when no-one is even around to action a response.
Meanwhile the sophistication of attacks is also increasing, as criminals turn to AI and new techiques to target enterprises. It is now recognized that autonomous systems are necessary in reducing time to response and fighting this new generation of cyber-threats.
Taking action at machine speed, Autonomous Response is capable of working out the correct action to take to curb or stop an in-progress attack, without the need for human intervention. Regardless of time of day, or where the attack comes in — through cloud, SaaS, email, or the corporate network — the AI takes precise action to neutralize the threat, and buy back time for stretched security teams.
Build cyber resilience over time
When a cyber-threat emerges, Autonomous Response technology effectively enforces the ‘pattern of life’ of the infected device or entity. Because Self-Learning AI continually enhances its understanding of your digital infrastructure, it also constantly improves the precision of its response over time.
Free up humans
Autonomous Response enables human security teams to focus on higher-value tasks, knowing that their defense systems are able to intervene in escalating cyber incidents in seconds, before damage is done. For example, Autonomous Response reacts to ransomware in one second, on average.