6. AI Powered Cybersecurity With the escalating threat landscape in cyberspace, AI is set to play a pivotal role in fortifying cybersecurity defences. AI driven threat detection, anomaly identification, and predictive analysis will become integral components of cybersecurity strategies, providing proactive measures against evolving cyber threats.

Cognizant, a multinational in IT services, has joined hands with NASSCOM to diversify and inclusion in India s technology sector. Advertisement The partnership introduced Shakti, a unified framework dedicated to empowering women in technology. Within Shakti, initiatives like RISE aid midlevel women associates in leadership development, Propel focusses on coaching senior women for career acceleration, Returnship supports those returning after a break, and Be Gritty hones fresh campus hires growth mindset.

“The well-documented global shortage of cybersecurity professionals means organizations need to look to integrated-end-to-end security solutions, third-party security operations centres, and ongoing employee security awareness training, to fortify their defences,” he added.

Mr. Ankit: The data center industry in India is predicted to grow to USD 8 billion by 2026, according to an ASSOCHAMEY report. It is expanding so rapidly that the nation is expected to become a global hub for cloud computing data centers, largely driven by technologies like artificial intelligence, analytics, and machine learning.

Among earlystage deals, D2C menswear fashion brand Snitch topped the list this week followed by sportswear and athleisure solutions platform Agilitas Sports, cybersecurity firm QNu Labs and healthtech startup GoApptiv. Furthermore, the list includes fashion and lifestyle platform Absolute Brands, EMI/EMC simulation and testing platform SimYog and D2C hair extensions startup HairOriginals among others.

Despite increased investments in third party cybersecurity risk management (TPCRM) over the last two years, 45% of organizations experienced third party related business interruptions, according to a new Gartner, Inc. survey. Third party cybersecurity risk management is often resource intensive, overly processoriented and has little to show for in terms of results, said Zachary Smith, Sr Principal Research at Gartner.

Kavitha Kadambi, Chief Information Security Officer at Infosys, shared key insights on the intersection of Artificial Intelligence (AI) and cybersecurity at the CNBCTV18Moneycontrol Global AI Conclave in Bengaluru. Kadambi discussed the profound changes AI has brought to cybersecurity over the years. AI has changed how we operate at scale and speed, she stated.

The report delves into the transformative potential of AI, and the biggest risk priorities, and underscores how AI plays a pivotal role in fortifying resilience. Data privacy (59 per cent) and cybersecurity (53 per cent) emerge as the top risk concerns for the upcoming year, followed by ESG risk (47 per cent) and credit risk (41 per cent).

The CEO of Microsoft also cited instances of various organizations utilizing AI to revolutionize sectors including education, cybersecurity, healthcare, content moderation, climate change, and beyond. Notably, he spotlighted India s Jugalbandi, a novel generative AI driven chatbot deployed on mobile devices. This chatbot aims to facilitate easier access to government services for farmers and individuals engaged in rural occupations.

The meeting emphasized the critical need for enhanced cooperation in the field of cybersecurity to ensure a resilient IndoPacific that can effectively detect and deter cyberattacks. Representing New Delhi at the meeting was Lt General MU Nair, the National Cyber Security Coordinator.

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Detecting anomalies in large datasets is a challenging task, but AI excels in this area. Machine learning models can be trained to identify unusual patterns or outliers that may indicate fraudulent activities, system malfunctions, or irregular behaviours. Anomaly detection powered by AI enhances cybersecurity measures, fraud prevention, and the overall reliability of data analytics outcomes.