Var Speak

Security at Machine Speed: The New Enterprise Mandate

HARIKRISHNA PRABHU

COO AT TECHNOBIND SOLUTIONS

“As enterprises enter an AI-first operating model, security is shifting from static defence to continuous, intelligence-led risk management. AI-driven threats in 2026 are faster, more adaptive and increasingly identity- centric, making traditional signature-based controls ineffective. Security platforms are therefore evolving to focus on behavioural analytics, real-time anomaly detection and automated response that can contain threats before they escalate. With the rise of deepfakes and synthetic identities, security frameworks are strengthening liveness detection, device trust and continuous authentication. At the same time, security automation is becoming predictive rather than reactive, enabling teams to anticipate attack paths and reduce dwell time significantly. For Indian enterprises, the focus is no longer on deploying more tools, but on building security stacks that learn, adapt and respond at machine speed.

OEM SECURITY CAPABILITIES VS CUSTOMER EXPECTATIONS

While OEMs continue to innovate rapidly, a gap remains in how these capabilities translate into real-world outcomes for Indian enterprises. Many organisations struggle to operationalize advanced security platforms across complex environments that include legacy systems, multi-cloud infrastructure and new AI workloads. Customers increasingly expect security insights to be contextual, prioritized and aligned to business risk and regulatory obligations. However, intelligence often remains fragmented, requiring significant effort to convert alerts into actionable decisions. There is also an expectation for faster deployment, simpler integration and measurable outcomes rather than feature-heavy implementations. Bridging this gap requires stronger solution engineering, localised risk context and an ecosystem approach that helps enterprises move from capability adoption to sustained security resilience.”