In exclusive contributions to ET Edge Insights, industry leaders share their valuable perspectives on the evolving landscape of technology. Elia Zaitsev, CTO of CrowdStrike, Ajay Meher, Global Practice Head for Media & New Media at Tata Elxsi, Vijendra Katiyar, Country Manager for India & SAARC at Trend Micro, and Enbasekar D, Co-founder & CTO of MediBuddy, offer key insights into the current and future trends shaping their respective sectors. These experts delve into crucial topics, shedding light on emerging threats, technological advancements, and transformative shifts. Their inputs provide a comprehensive view of the dynamic intersection between technology and industry.
Elia Zaitsev, CTO, CrowdStrike, Says: AI Blind Spots Open the Door to New Corporate Risks
In 2024, CrowdStrike expects that threat actors will shift their attention to AI systems as the newest threat vector to target organizations, exploiting vulnerabilities in sanctioned AI deployments and blind spots resulting from employees’ unsanctioned use of AI tools. Organizations will need to look internally to understand where AI has already been introduced into their operations (through official and unofficial channels), assess their risk exposure, and strategically create guidelines to ensure secure and auditable usage that minimizes company risk and spend but maximizes value.
Additionally, adversaries will view cloud-based AI resources as a lucrative opportunity. While many believe that AI will be a top trend in enterprise investment over the next few years, a recent study found that 47% of cybersecurity professionals admit to having minimal or no technical knowledge of AI. Moreover, AI presents new security challenges, as AI systems require access to large datasets often stored in the cloud. Securing this data and ensuring that AI models running in the cloud are not exploited for malicious purposes will be a growing concern. In 2024, a comprehensive Cloud Native Application Protection Platform (CNAPP) will be more important than ever to fend off opportunistic adversaries.
Ajay Meher, Global Practice Head for Media & New Media, Tata Elxsi, thinks that AI can be used in Data Monetisation in Media.
Data monetisation and AI will certainly shape the continuous evolution of the Media and Entertainment industry. The industry will also leverage technologies like AR, VR, machine learning, blockchain, and Generative Artificial Intelligence to further enhance the quality and experience for end-users. Additionally, one can expect increasing regulation and standards regarding data privacy, security, ethics, consent, and so on.
Just like any technological advancement, data monetisation presents its unique set of challenges, prominently featuring issues related to data privacy and the necessity of obtaining the consent of consumers. To accomplish this, data monetisation can be achieved by categorizing content into distinct segments, such as ad-supported and premium content, thereby incorporating user consent into the equation.
Vijendra Katiyar, Country Manager for India & SAARC, Trend Micro, talks about Data Poisoning: the Emerging Security Threat of 2024
The business landscape in India is undergoing a significant transformation, with a growing shift towards cloud adoption. The cloud is no longer just a facilitator; it has evolved into a catalyst for innovation, agility, and business growth. This transformation allows organizations to scale and adapt rapidly, seamlessly integrating data and services to achieve comprehensive business transformation. Decision-makers in Indian enterprises moving to cloud computing reveal that, on average, 40% of their application portfolio has migrated to the cloud, with a planned migration of 57% by 2024.
However, this shift is not without challenges. A Forrester study highlights that 70% of Indian cybersecurity and IT leaders see cloud infrastructure as the primary source of cyber risk. Looking ahead to 2024, the security landscape is set to face new challenges. The focus shifts from broader cloud threats to specific risks associated with defending machine-learning (ML) models. Data poisoning, an adversarial attack technique that tries to manipulate training datasets to control the prediction behavior of a trained model, emerges as a significant threat, compromising the integrity of cloud-based ML models and expanding the attack surface. Compromised ML models present severe consequences, allowing attackers to manipulate data, insert malicious instructions, influence recommendation engines, or compromise fraud detection systems.
Enbasekar D, Co-founder & CTO, MediBuddy, Talks about Future Trends in the Health-tech Sector
Healthcare is on the verge of transformation, thanks to a wave of innovative solutions driven by rapid technological advancements. This will completely change how we diagnose, treat, and manage our health.
The future of healthcare in India is inspiring, with the potential to revolutionize healthcare access and affordability for millions. With a rapidly growing middle class and increasing digital penetration, India is poised to adopt and adapt cutting-edge technologies like AI, analytics, and telehealth.
Patients will be in charge, taking control of their health and driving their care. This shift will be fueled by more accessible access to their medical data and tools that help them manage their health themselves.
Technology will also transform public health, making it proactive and data-driven. This means diseases will be tracked and prevented in real time, leading to better health for everyone.
Telehealth will continue to grow, making it easier and more convenient for people to see doctors, especially in remote areas. This, along with improvements in wearable technology and real-time monitoring, will ensure everyone gets personalized care, even when they’re not at the doctor’s office.
Identifying different trends in technology means a commitment to continuous learning and adaptability. Professionals equipped with these tech skills will be well-positioned to navigate the dynamic job market of 2024-25 and contribute meaningfully to the transformative impact of Generative AI.
