JAYDEEP SINGH
GENERAL MANAGER - INDIA, KASPERSKY
Kaspersky stays ahead of evolving cyberthreats by integrating advanced technologies like machine learning, behavioral analytics, and real-time threat intelligence into its solutions. As highlighted in the Q1 2025 Threat Landscape for Industrial Automation Systems, we are seeing a rise in complex and targeted attack vectors. To counter this, we use proactive detection methods that combine deep system visibility with AI-powered anomaly detection, enabling our systems to not only recognize known threats but also identify suspicious behaviour patterns that could indicate previously unseen risks. In industrial environments, this allows us to isolate and neutralize malicious activity before it spreads, without disrupting operations.
Our solutions continue to evolve as attackers employ more stealthy and persistent techniques, particularly against industrial automation systems. We are enhancing our Industrial CyberSecurity technologies with behaviour-based detection, anomaly monitoring, and expanded threat intelligence feeds. By investing in machine learning models and automated threat analysis, we can anticipate threats, detect subtle compromise indicators early, and defend against both common malware and advanced persistent threats (APTs).
We also protect firmware, BIOS, and embedded systems through our KasperskyOS-based Cyber Immune approach, which ensures systems are secure by design. Secure boot, strict access controls, real-time integrity checks, and segmentation prevent tampering or lateral movement, even against zero-day threats. Moving forward, the rise of quantum computing could render today’s encryption obsolete. We are already exploring quantum-safe strategies and post-quantum cryptography, encouraging OEMs to embed future-proof encryption into devices now to stay resilient.
See What’s Next in Tech With the Fast Forward Newsletter
Tweets From @varindiamag
Nothing to see here - yet
When they Tweet, their Tweets will show up here.



