Secure AI models and data

Enabling rapid AI adoption starts with securing your data and AI models. Zscaler AI security posture management (AI-SPM) provides deep insights into your AI-powered environments while proactively mitigating data and AI risks.

protect-against-ai
Gain a 360-degree view of your AI models, agents, and services
secure-gen-ai
Identify and secure AI training data against data poisoning, misconfigurations, and exposure
Align-with-ai
Align with new and emerging AI compliance frameworks

The Problem

AI raises security risks and concerns

Organizations worldwide are rapidly adopting AI, but many lack the control and governance to embrace AI securely. Managing and securing data and AI models can pose major challenges. While cloud service providers secure their platforms, organizations are responsible for securing their AI resources and training data, leaving massive security gaps as they adopt AI.

80%

of organizations are expected to deploy AI models by 2026 (Gartner)

65%

of organizations report unsanctioned AI usage (Microsoft)

40%

of data breaches caused by improper usage of AI by 2027 (Gartner)

Solution Overview

Secure data, AI, and LLMs with confidence

Zscaler AI-SPM provides deep visibility into all AI services, agents, and models deployed in your environment. Leveraging advanced LLM classification, Zscaler AI-SPM discovers, classifies, and assesses risks of sensitive data that maps to any AI services, providing a 360-degree view of all of your data, AI, and its correlated risks.

Natively integrated with the Zscaler Data Security platform, Zscaler AI-SPM enables you to confidently secure data, AI and LLMs in the cloud.

Broad coverage and native integration

Natively protect resources associated with platforms like Amazon Bedrock, Microsoft Azure Foundry AI, and Google Vertex AI, as well as unmanaged AI services like Hugging Face and Ollama.

AI-powered auto-discovery and classification

Automatically discover, classify, and inventory AI-related services and connected data assets, including models, datasets, and vectors.

AI and data risk mitigation

Correlate risks such as data poisoning, misconfigurations, data exposure, misuse, and entitlements, and mitigate AI and data risks with guided remediation.

Regulatory compliance assurance

Meet standards and mandates like NIST AI RMF 600-1, EU AI Act, HIPAA, GDPR, and more through continuous monitoring and compliance reporting.

Solution Details

Secure a diverse AI and data landscape

Discover your entire AI landscape

Easily manage your growing AI ecosystem with simplified oversight as well as robust visibility and control over AI deployments, resources, and components.

Discover your entire AI landscape
KEY FEATURES
compliance-visibility

AI Deployment Visibility

Understand AI models, agents, and services used across your organization, where they are deployed, and the resources they rely on.

Detection

Shadow AI Detection

Uncover AI deployments that may not be formally sanctioned or known to your IT or security teams.

Inventory

Model Inventory and Lineage

Get additional information and context on AI technologies, such as publisher, country of origin, licensing terms, and risk factors.

Coverage

AI Services Coverage

Ensure coverage of major cloud providers' AI services, such as Microsoft Azure Foundry AI, Amazon Bedrock, and Google Vertex AI.

Assess your AI risk and posture

Analyze and prioritize risk with AI. Identify misconfigurations, access risk, and vulnerabilities in AI agents, deployments, and retrieval-augmented generation (RAG) frameworks.

Assess your AI risk and posture
KEY FEATURES
risk-analysis

Risk Analysis

Map the entire AI supply chain to expose misconfigurations, excessive permissions, and vulnerabilities for AI services and related assets.

risk-prioritization

Risk Prioritization

Filter out the noise and prioritize incidents based on risk likelihood and impact through in-depth analysis.

advanced-threat-correlation

Advanced Threat Correlation

Minimize risk by using AI/ML to correlate threats that determine hidden attack paths, leveraging the world’s largest security cloud.

ai-governance

Adaptive Access Intelligence

Get a granular, risk-based, user-centric view of all AI access paths to mission-critical data assets and their configurations.
 

Ensure responsible use of AI

Remediate AI/LLM risks and streamline risk management with context-based guided remediation, enabling security teams to easily fix issues and violations at the source.

Ensure responsible  use of AI
KEY FEATURES
ai-guardrails

AI Guardrails

Enforce security best practices and guardrails to secure AI deployments.

guided-remediation

Guided Remediation

Remediate data exposure, misconfigurations, and security risk by leveraging step-by-step guided remediation with complete context.

fast-adaptive-security

Fast, Adaptive Security

Configure real-time alerts to keep pace with rapid change to the AI environment, reducing investigation and response times.

least-privileged-access

Least-Privileged Access

Minimize the attack surface by remediating overprivileged access and risky AI access paths to sensitive data.

seamless-integrations

Seamless Integrations

Integrate with DSPM/DLP solutions or ITSM tools to improve operational efficiency.

Secure AI models and training data

Monitor and protect data usage by AI model to safeguard sensitive or regulated data used in training datasets against inadvertent leaks or adversarial attacks.

Secure AI models and training data
KEY FEATURES
ai-readiness

AI Readiness

Leverage auto-data discovery and AI-powered classification to build precise training datasets and prevent oversharing while reducing the attack surface and improving your risk posture.

exposure-prevention

Exposure Prevention

Monitor data flows, access to sensitive data, alert on critical and regulated data used in AI training, and reduce the risk of data misuse or exposure.

data-governance

Data Governance

Monitor data compliance and security risks with prebuilt policies to automatically flag critical issues.

analytics-and-reporting

Model Interaction Analysis

Review prompt and output logs to detect model misuse and mitigate potential data exposure risks.

secure-data-access

Secure Data Access

Discover, analyze, and remediate overexposed data used in AI training models. Revoke access from overprivileged users, whether internal or external, to reduce insider risk.

Align with AI governance frameworks

Ensure AI and data usage is protected without geographical or regulatory differences with robust, real-time data compliance and governance, no matter where the data resides.

Align with AI governance frameworks
Key Features
visibility

Compliance Visibility

Get comprehensive visibility into AI and data compliance posture with a dynamic view of compliance status, configuration drifts, and policy violations.

Compliance Benchmarking

Compliance Benchmarking

Automatically benchmark against regulations like GDPR or HIPAA as well as AI-specific standards like NIST AI RMF 600-1.

violation-remediation

Violation Remediation

Drill down on compliance violations to prioritize remediation efforts, minimizing the risk of data breaches and associated legal liabilities.

analytics-and-reporting

Analytics and Reporting

Take advantage of comprehensive compliance data, analytics, and automated reporting for technical compliance audits.