As attackers use AI and ML to breach networks, it is critical for data protection solutions to also use these technologies to detect breaches and mitigate risks, says Lourens Sanders, senior sales engineer at Commvault.
Security intelligence needs AI, machine learning -powered data protection and risk response Johannesburg, 08 Apr 2024From retail to government, private sector to financial services, organisations of all types and sizes are vulnerable to constantly evolving threats. The consequences of a breach have also become increasingly dire, with exfiltration of sensitive information potentially causing compliance challenges along with business disruption.
The way attacks are perpetrated has also changed and is constantly evolving, as malicious actors use ever more sophisticated means to breach networks. Attackers make use of AI and ML not only to create the breach, but also to avoid detection, and once they are inside, they can learn and see the usual behaviour patterns and then mimic them, making threats even harder to detect. There is also a growing trend towards insider threats, both intentional and accidental, which needs to be mitigated.
AI and ML assist from an automation perspective, for example, to automatically identify data sets such as sensitive data, and to identify if they are stored in the wrong place or inadequately protected. These technologies can also learn patterns of behaviour to identify and flag anomalies, both in live and backup data.
Data protection driven by AI and ML gives you the visibility into your data to be able to understand it and protect it better. It can also offer root cause analysis – for example, if data is moved or deleted, it can help businesses to identify if this action is legitimate or a threat. It can flag potentially sensitive data as well as suspicious activities, alerting and reporting this so that necessary action can be taken.
Implementing data protection with AI and ML on top of this aids in developing a proactive approach with automated data protection, predictive analytics, intelligent workflows and automation and greater insight. This all adds up to a better understanding of risk, readiness for handling this risk and the ability to create a more intelligent and actionable response plan to mitigate it.
AI Machine Learning Data Protection And Risk Response Lourens Sanders Commvault Threat Landscape Automated Data Protection Predictive Analytics Intelligent Workflows
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