Var Speak

Behavioural Analytics and Identity Controls taking center stage gradually

PRAVEEN PATIL KULKARNI

DIRECTOR - SECURITY, RISK & GOVERNANCE, OPENTEXT INDIA

“AI driven threats in 2026 require security models that can understand behaviour, identity, and data context with far more precision. Agentic AI is also becoming a new attack surface, so security needs to extend beyond traditional endpoints and into how agents are built, what they can access, and what actions they take.

The direction the industry is moving toward involves greater use of behavioural analytics, stronger identity controls, and closer integration between security and data workflows. At OpenText, that means strengthening identity-first and data-centric controls, securing AI across the SDLC, and improving continuous monitoring and response so risky agent behaviour or sensitive data exposure can be detected and contained early.

There is also growing emphasis on detecting synthetic content, deepfake enabled fraud, and AI generated attack patterns. The priority is to design systems that can analyse signals in real time, surface the right risks, and support faster decision making for security teams.

SCALING INNOVATION WITHOUT COMPROMISING COMPLIANCE

Enterprises want a security foundation that allows them to innovate rapidly without creating new compliance concerns. This is where OpenText focuses its efforts—bringing together identity-first, data-centric and continuous monitoring controls that are built for the realities of modern hybrid environments. OpenText helps customers build AI securely by integrating security testing directly into the software development lifecycle. Finally, our continuous monitoring and response capabilities bring together extended detection and response, security information and event management, security orchestration and response, identity threat detection, and digital forensics and incident response.”