Zscaler Guide Outlines Zero Trust Defenses for India's AI and Critical Infrastructure

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Report discovered via Awesome Annual Security Reports.

Summary

Zscaler's February 2026 guide recommends least-privilege access, continuous verification, data-loss controls and restricted vendor connectivity to protect India's AI systems and critical infrastructure.

Key points

  • The guide recommends identifying mission-critical applications, citizen data and operational systems first, then prioritizing controls around those assets.
  • Its proposed architecture grants identity- and context-based access to individual applications rather than broad network access, aiming to restrict lateral movement after compromise.
  • For employee AI use, it recommends discovering tools, enforcing access policies and inspecting prompts, files and responses for sensitive information.
  • Data protection recommendations cover cloud-data discovery and classification, misconfiguration remediation, endpoint controls and restrictions on unmanaged devices.
  • For operational technology, the guide recommends limiting vendors to authorized machines or applications for specific tasks and time periods, without granting network-level access.
  • The guide links least privilege, continuous monitoring and breach containment to implementing security safeguards under India's Digital Personal Data Protection Act.

Article Details

Defense Focus
Apply Zero Trust and AI-assisted monitoring to protect India's critical infrastructure, contain compromised identities and devices, prevent sensitive-data loss, and govern public and private AI use.
Detection Methods
  • Analyze user, application, and device behavior in real time for unusual login times, unexpected data flows, abnormal requests, and unusual financial transactions.
  • Continuously evaluate identity, device posture, behavior, and risk context for each access request.
  • Discover unauthorized AI application usage and inspect prompts, responses, and uploaded files for sensitive data or harmful content.
  • Discover and classify sensitive information in cloud repositories and identify misconfigurations, vulnerabilities, and policy violations.
  • Inspect outbound IoT/OT communications for unauthorized data flows and incoming malicious instructions.
  • Use OT deception decoys to detect threats without operational impact.
  • Apply AI-assisted classification to identify personal data, financial records, and intellectual property for data-loss prevention.
Data Sources
  • User-to-application access requests and access logs
  • User identity, device health, posture, and behavioral signals
  • Network traffic and application usage patterns
  • AI prompts, responses, and file uploads
  • Cloud databases, storage buckets, and repository configurations
  • Endpoint data transfers involving USB drives, printing, and network shares
  • IoT/OT outbound communications
  • Public ransomware leak sites, ransomware samples, proprietary threat intelligence, attack data, and security-platform telemetry
Defensive Actions
  • Identify mission-critical applications, sensitive data, and operational assets, and prioritize their protection.
  • Replace broad network access with least-privilege, application-specific access and continuous authentication and authorization.
  • Use outbound-only connections to private resources to reduce public exposure.
  • Restrict third-party OT access to the exact machine or application needed, for a specific task and limited duration.
  • Segment IT from OT and isolate operational systems to contain lateral movement and compromised assets.
  • Inspect data in motion and enforce granular policies against unauthorized sharing and exfiltration.
  • Remediate cloud configuration weaknesses and sensitive-data access policy violations.
  • Approve AI applications explicitly, detect shadow AI, and enforce real-time controls on prompts, responses, and content uploads.
  • Preserve role-based data boundaries in private LLMs and deploy input and output guardrails.
  • Validate AI-generated code and retain experienced human oversight of AI decisions and automated threat responses.
  • Maintain accurate access logs to support accountability and breach response.

MITRE ATT&CK

People

Threat Actors

Malware

Vendors

Products

Countries

Industries

Banking and financial services- [Critical Sector: Banking and Financial Services](#critical-sector-banking-and-financial-services)Defence- [Defence and National Security Systems by Lt General Rajesh Pant](#defence-and-national-security-systems-by-lt-general-rajesh-pant)Government- [Critical Sector: Government - The Foundational Layer](#critical-sector-government---the-foundational-layer)Healthcare- **Critical industries continue to be prime targets**: Manufacturing, Technology, and Healthcare experienced the highest number of ransomware attacks, while sectors like Oil & Gas (+935%) and Government (+235%) sawManufacturing- [Critical Sectors: Manufacturing and Strategic Enterprise](#critical-sectors-manufacturing-and-strategic-enterprise)Oil and gasTechnology, and Healthcare experienced the highest number of ransomware attacks, while sectors like Oil & Gas (+935%) and Government (+235%) saw notable year-over-year spikes.Power & Energy- [Critical Sector: Power & Energy](#critical-sector-power--energy)Technology> Cybersecurity at national scale cannot be achieved by technology teams alone.TelecommunicationsAt the same time, India’s Critical Information Infrastructure (CII) spanning power, telecom, banking, transport, oil and gas, space, defence, and government systems has grown deeply interconnected and increasinglyTransportationbackdoors—to be able to disrupt or destroy vital services like power, water, communications, or transportation, at a moment of their choosing, for strategic or geopolitical advantage.

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