Embracing AI is key to combatting evolving Cyber Threats

As technology continues to advance, so do the tactics of cybercriminals. The threat landscape constantly evolves, and traditional security measures are no longer sufficient to protect organizations from attacks. In today's digital age, embracing artificial intelligence (AI) has become a crucial tool for combating these ever-evolving cyber threats. By leveraging Al-powered solutions, businesses can strengthen their defense mechanisms and stay ahead of potential breaches

- Priyank Kothari

"Time is what determines security. With enough time nothing is unhackable." -Aniekee Tochukwu Ezekiel.

Investments in new age security technologies have surged exponentially in the recent past to limit and minimise the risk profile and impact potential of the cyber threats. While this has helped in bridging the gap against the formidable cyber adversaries, the industry' ability to timely discover and respond to cyber threats continues to be one of the defining challenges of our time. Security teams often find themselves overwhelmed by the ever-growing data sources, increasing complexity of technology environment and evolving nature of the cyber threat landscape. To put things into context, some of the core contributing factors to the challenge of timely discovery and response are:

● Data fluidity & volume: Security Operations Centres (SOC) are struggling to make sense of the sheer volume of data flowing from across the security & technology stacks - spanning across applications, infrastructure, network, IOT, end devices and extended environment which is often the target of advanced attacks.

● Ballooning Attack Surface: Attack surface is exponentially expanding, with addition of new IOT devices, cloud environment, adoption of 5G, distributed workforce and growing partner ecosystem, presenting a formidable challengeto the security posture of a company.

● User Behaviour & Trust: With employees connecting at the time, place and device of their choice, it is inherently an untrusted environment bringing in its own set of risks. User behaviour and data activity has become even more diverse and unpredictable, making it harder to identify anomalous behaviour which can lead to more false positives.

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