DIPESH KAURA
COUNTRY DIRECTOR- INDIA & SAARC, SECURONIX
“At Securonix, AI has been central to our security operations for more than a decade, well before generative AI entered the mainstream. We have long applied machine learning and behavioral analytics to help organizations detect threats that traditional, rule-based approaches often miss. What is changing today is the role AI plays. As attackers increasingly use AI to move faster and evade controls, security teams can no longer rely on AI only to assist with detection. The focus is shifting toward greater autonomy, where AI helps anticipate risk, reduce manual effort, and act at machine speed, while keeping humans firmly in control.
Looking toward 2026, Securonix is evolving from AI-augmented detection to agentic AI–driven security operations through our Unified Defense SIEM. This is supported by a native cloud data lake with a full year of hot, searchable data, providing visibility before, during, and after an incident. The result is a shift from reactive monitoring to proactive, resilient security operations.
CHALLENGES & GAPS
OEMs typically secure their own environments effectively, but that level of control does not always extend to third-party vendors that operate independently. This creates gaps in the supply chain, where a single weak link can expose the broader OEM ecosystem to risk. There is also a growing expectation for unified, single-pane-of-glass visibility across the full environment. In addition, while customers expect tools that support investigation and response, several OEM offerings stop at alert generation, leaving security teams to manually piece together context and take action.”
