Security intelligence is a vital aspect of protecting businesses from ever-evolving threats, ranging from cyberattacks to insider breaches. With the increasing sophistication of malicious actors using AI and ML to infiltrate networks, organisations need to leverage these technologies for effective data protection and risk response.
Cybercriminals target sensitive information, not just for theft, but also to disrupt business operations by attacking data protection infrastructure. AI and ML are used not only to breach networks but also to avoid detection by mimicking normal behaviour patterns, making it even harder to identify threats. Insider threats, whether intentional or accidental, also need to be mitigated to enhance security measures.
Data protection solutions powered by AI and ML play a crucial role in detecting breaches, mitigating risks, and ensuring data access based on zero trust principles. These technologies help in automating the identification of sensitive data, monitoring anomalies in live and backup data, and providing actionable insights to address potential threats. With AI and ML, businesses gain better visibility into their data, enabling them to protect, analyze, and optimize storage efficiently.
Implementing AI and ML-driven data protection enables proactive measures with automated processes, predictive analytics, intelligent workflows, and enhanced insights. Despite the evolving threat landscape, traditional practices like data backup, recovery, and governance remain essential. By incorporating AI and ML into data protection strategies, organisations can develop more intelligent response plans to mitigate risks effectively and protect their valuable assets.
