AI proven to be extremely useful in detecting cyber threats

Debasish Mukherjee
VP, Regional Sales - APAC, SonicWall

“With its flexibility, BYOD has a security impact on existing IT infrastructure, such as modern organizations using a mix of LANs, WLANs, and distributed WANs. When employees across an organization connect their devices to the network, in certain cases, it may create an entry vector point for cyberattacks.

Companies clearly need to find a way to provide their mobile workers secure access to any data from any device at all times. That said, companies’ IT organizations need to understand the risks they are opening themselves up to, if they don’t take necessary precautions including data loss, malware, device proliferation, rogue applications, lost and stolen devices with data onboard, credential theft, etc.

As the world grapples with the unforeseen security concerns, robust, boundless security infrastructure and network security are the only answer. SonicWall’s Boundless Cybersecurity approach helps solve the cybersecurity business gaps as employees are more prone to attacks while working from home, as unsecured networks create loopholes and may expose critical data. The ‘Boundless Cybersecurity’ model is purpose-built for today’s era of hyper-distributed IT that ensures ‘anytime, anywhere business’ by protecting exposure points, including a ‘boundless’ workforce of remote, mobile, and cloud-enabled users. The term ‘boundless’ personifies SonicWall’s recognition of the ability to proactively mitigate cyberattacks and mobilize any organization operating in the new business normal, irrespective of their size.

Artificial intelligence is no more just a buzz word but is making some significant impact on various industries. Artificial Intelligence has proven to be extremely useful when it comes to detecting cyber threats based on analyzing data and identifying a threat before it exploits a vulnerability in your information systems. Machine Learning enables computers to use and adapt algorithms based on the data received, learning from it, and understanding the consequent improvements required. In a cyber-security context, this will mean that machine learning is enabling the computer to predict threats and observe any anomalies with a lot more accuracy than any human can. AI can be used to identify activities that human oversight would mostly fail to catch. The newer threats like never-before-seen attacks require a much more sophisticated capability. The use of AI + ML technology helps to recognize attacks rather than defending a known vulnerability. Machine learning and AI truly protect against modern cyber warfare.”