MANISH ALSHI
SENIOR DIRECTOR, CHANNELS & ALLIANCES, CHECK POINT SOFTWARE TECHNOLOGIES INDIA & SOUTH ASIA
“Our approach for 2026 is firmly built around a prevention-first, AI-powered security model that can operate at the scale and complexity Indian organisations face today. At Check Point Software, AI is embedded across all of our solutions, powered by ThreatCloud AI, which uses more than 55 AI and machine-learning engines to analyse global threat telemetry and make billions of security decisions daily.
For CIOs and CISOs managing hybrid data centres, multi-cloud environments, large branch networks, and OT/IoT deployments, we are focusing on automation and consolidation — reducing tool sprawl while delivering consistent protection across network, cloud, email, endpoints, and collaboration platforms. For partners, this evolution creates opportunities to deliver simplified architectures, managed security services, and AI-driven SOC capabilities, helping customers modernize security without adding operational burden.
CHALLENGES & LIMITATIONS
One of the biggest gaps in India today is the difference between alert-driven security and outcome-driven security. Many enterprises still operate tools that generate large volumes of alerts but lack the automation and orchestration needed to respond at machine speed. Another major gap is operational complexity. Large Indian organisations often run dozens of disconnected security products across legacy infrastructure and modern cloud platforms. Finally, customers are demanding stronger alignment with local regulatory and governance requirements, including India’s DPDP Act, as well as clearer guidance on responsible AI usage. Enterprises want security solutions that are not only AI-powered, but also transparent, compliant, and partner-enabled. This is where OEMs and partners must work together — combining technology, local expertise, and services.”
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