2021 was an unprecedented year in terms of the metamorphosis it has given to how we and organisations at large work. This entire switch in the dynamics has led to bewildering cyber-attack possibilities. With remote working, majorly came in the need to protect the network and system endpoints.
Let’s watch out which way the trends are moving for endpoint security.
Zero Trust gaining footing in endpoint
Zero trust follows the axiom ‘Never Trust’, which means there is verification at each level. With zero trust, all traffic including traffic from inside is treated as hostile. The zero-trust approach stops threats from circulating within the network. It enables controlled usage of data and not just access and continuously gives sight to who is creating risks. With remote working becoming a mainstay, zero trust has come up as one of the major ways of dealing with sophisticated attacks and safeguarding sensitive data.
“Zero Trust solutions are being widely adopted. Spurred by the recent sharp increase in ransomware and other sophisticated cyber-attacks, the majority of organisations – 83 per cent– believe that Zero Trust security is strategically important,” noted a study.
The proposition of self-healing has gained significant momentum over the years, and especially now with the shift to remote work. Achieving visibility, oversight and protection of endpoints is increasingly becoming a concern. Endpoint faces threats from various sources- software deterioration and crash, external attack and the user themselves. Clearly, the ability of endpoints to correct themselves autonomously is a huge bolster. It offers scale for IT teams already reeling under pressure and at the same time give an estimate of endpoint resilience when endpoints wander out of sight.
With self-healing endpoints, it is more than just productivity for an organisation. Weak endpoints give way to security breaches. Especially when this compromises the endpoint security tools which facilitates security against and thwart these breaches. Self-healing mitigates these risks and provides protection to organisations.
Behavioural analytics in endpoint framework
One thing to be noted in case of malicious attacks is that they all behave differently within a network or system. The organisations mostly identify malicious behaviour through patterns that are traced directly to other infamous attacks. With, attacks getting sophisticated over time, and attackers devising new strategies, they are able to gain access into venerable environments and operate undetected.
Here is where behavioural analysis plays a crucial role. Leveraging the massive unfiltered endpoint data, security officers now harp on the use of behavioural based tools, ML and algorithms to define the normal and the unusual behaviour of the users. Behavioural analysis can track both present and historic trends, patterns, events that may lie out of the fringe of normal life.
The multi-fold use of AI/ML in endpoint protection
The fact being that gaining total efficiency is not a real possibility, advanced technology like machine learning and artificial intelligence enables powerful and efficient testing standards. This is achieving huge importance in maintaining endpoint security in big conglomerates.
AI and ML help organisations identify risks; protect against phishing; attain automation efficiency; and apply robust security measures.
AL and ML enable to automate the identification of anomalies and makes an organisation’s endpoint security sturdy.