Shankar Radhakrishnan, Founder of Skedler, recently sat down with Bharat Kandanoor to discuss the use of Artificial Intelligence (AI) in cybersecurity. Bharat, who is the Technology Head for cybersecurity and cloud at Blue Ally, a managed service provider, was able to shed light on the intricacies of AI’s usage in cybersecurity processes. Let’s dive deep into understanding whether AI is an overhyped cybersecurity solution, how it is being used to tackle network security problems, and how AI may be able to create a better cybersecurity future for the end user.
See and listen to the Infralytics Show interview with Bharat Kandanoor
69% of enterprises believe AI will be necessary to respond to cyberattacks, with U.S.-based enterprises placing a more than 15% higher priority on AI-based cybersecurity applications and platforms than the global average when measured on a country basis. Is this level of AI adoption a response to measurable cyber threats that AI can help to remediate or is it merely an overhyped reach by firms around the world? Bharat Kandanoor tells us in our exclusive one-on-one video podcast that “Artificial Intelligence is being used as an overhyped terminology in general.” Bharat goes on to explain that “everyone expects using AI can solve lots of problems, but not necessarily can it do that.”
All in all, these AI tools will always have big drawbacks due to it being an overhyped solution. Bharat explains that “AI can give valuable actionable information, but at the end of the day, it is a human who can decide if the data is an anomaly or not.” It is with this human interaction that data anomalies can be found and analyzed by a human operator who is focused on the end goal of long-term data and network protection at all times.
AI has the ability to weed through the plethora of incident response data and find a solution exponentially faster than humans are able to. With AI, you can drill deeper into your data to pull out actionable insights that can help your team work more efficiently and effectively to detect anomalies using behavior analytics, network traffic analysis, and email scanning solutions for phishing/spear phishing attacks.
Small-to-Medium Enterprises (SMEs) struggling with cybersecurity have more to lose than their data and potential profits; the loss could stretch to their customers. AI-enabled technologies allow organizations of all sizes to implement a healthy security posture, from network monitoring and risk control to detecting rising cyber threats and recognizing the scam. With more SMEs looking to AI as their silver bullet solution in the face of a current shortage of more than 3 million cybersecurity experts globally, SMEs can use AI to react to existing cyber threats and head off new ones.
Even though SMEs believe AI will positively affect their business, uptake of AI solutions within SMEs has been slow, with just a 4% adoption rate per a 2019 report. No matter what the level of maturity is for an enterprise, it is vital that C-suite, IT, and security teams rationalize their existing technologies with solutions that can support their initiatives for a strong return on investment (ROI). Bharat explains that “It’s more of what fits into your use case and how you can make it work” when it comes to incorporating AI solutions into your cybersecurity plans. One AI solution may work for one SME where another may not. It’s just a matter of researching, testing, and finding the right solution for you.
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