Cognizant® Secure AI Services powered by Microsoft

Cognizant® Secure AI Services Overview

Cognizant’s Secure AI Services, powered by Microsoft, deliver a comprehensive solution to protect enterprise AI ecosystems from emerging threats, adversarial attacks, and compliance risks. As organizations scale AI adoption across LLM applications, RAG pipelines, autonomous agents, and MCP servers, the attack surface grows, exposing risks such as prompt injection, data poisoning, model tampering, and agent impersonation. Cognizant provides end-to-end protection across the AI lifecycle — from data ingestion to deployment — built on Microsoft’s security platforms and guided by three principles: Secure ADLC, Neuro® Cybersecurity, and Responsible AI.

Customer Value Proposition
Our services enable enterprises to:

• Reduce AI-specific risk exposure with proactive detection, adversarial evaluation, and automated safety testing.
• Achieve compliance with NIST AI RMF and ISO/IEC 42001 frameworks, supported by audit-ready dashboards.
• Accelerate secure AI adoption by embedding protection across infrastructure, applications, and services.
• Gain centralized visibility through Neuro® Cybersecurity, consolidating AI signals (models, prompts, agents) with enterprise signals (identity, cloud, endpoint).

Microsoft Integration
The offering leverages:

• Microsoft Purview & Defender for Cloud for AI discovery, inventory, and risk assessment.
• Azure AI Content Safety & Safety toolchains for threat detection, safety testing, adversarial evaluation, and runtime protection.
• Microsoft Sentinel, Defender XDR, Entra ID, Azure API Management, Key Vault, and Microsoft 365/Endpoint for identity governance, secrets management, and enterprise defense.

Service Pillars

• Secure Model — Protects against extraction, poisoning, and adversarial attacks.
• Data & Privacy Protection — Ensures compliant data use with Purview and Azure Confidential Computing.
• AI Runtime Protection — Real-time detection of prompt injection/jailbreaks with Prompt Shields, Defender for AI, and Sentinel.
• AI Apps DevOps Security — Embeds shift-left security in AI/MLOps pipelines via GitHub Advanced Security and Azure DevOps.
• AI Identity & Secrets Management — Governs agent identities with Entra Agent ID and secures secrets in Key Vault.
• AI Threat Defense — Detects AI-specific threats like phishing, fraud, and credential abuse.
• AI GRC Services — Operationalizes governance, risk, and compliance with Cognizant Trust™ for audit-ready reporting.

Engagement Approach
Four Structured Phases:

• Assess — Security posture assessment, risk identification, threat modeling, red team prep.
• Architect — Secure AI design, governance setup, ethical AI compliance framework.
• Act — Deployment, validation, incident response, resilience planning.
• Assure — Continuous compliance, training, red teaming, KPI/SLA tracking.

Deliverables & Outcomes

• AI security posture reports and risk profiles.
• Configured Microsoft Defender, Purview, and Azure AI Content Safety environments.
• Compliance dashboards aligned to NIST AI RMF and ISO 42001.
• Managed services for monitoring, defense, identity governance, and remediation.
• Outcomes: stronger compliance posture, reduced attack surface, faster detection and response

Why Cognizant?
As a Global Systems Integrator and Microsoft Partner, Cognizant combines deep expertise in AI and cloud security with proprietary foundations:

• Secure ADLC — Build-time assurance for nondeterministic agentic systems.
• Neuro® Cybersecurity — Unified AI security control plane consolidating posture, runtime signals, and response.
• Cognizant Trust™ — Responsible AI assurance framework for compliance monitoring, incident tracking, and real-time dashboards.
With certified professionals and AI practitioners, Cognizant helps enterprises secure the full AI stack and deploy AI responsibly at scale.

Contact: cybersecuritypulse@cognizant.com