Introducing Zscaler AI-SPM to Secure AI Models and Data

Organizations are undergoing a profound transformation, driven by the relentless shift towards optimizing AI. But don’t be fooled, AI adoption isn't just a trend; it's a new approach of forging business, enabling operational efficiencies and staying ahead of the competition. In fact, recent studies indicate that nearly 4 out of 5 organizations are engaging with AI, while 83% of companies claim AI as a top priority in their business trajectory. However, although AI brings many benefits, it also brings a complex web of new security risks. 

Today, there is an alarming rise in targeted AI attacks, that spans from hijacking of AI resources to poisoning and theft of AI data. It’s noted that roughly 70% of enterprises experienced at least one AI-related security risk in recent years. Given that the average cost of an AI-related security incident in the past 12 months for enterprises was $4.8 million, the urgency for robust AI security has never been greater. It’s clear that organizations are grappling with maintaining data integrity and ensuring model reliability in this new era of AI.

Simultaneously as AI models ingest and process colossal volumes of data distributed across multi-cloud environments, it leaves organizations vulnerable to data exfiltration, model theft and unauthorized access. Misconfigurations in AI services, overprivileged access granted to AI resources , and a lack of visibility into shadow AI instances become critical attack vectors. Securing AI – from data ingestion and model training to usability of these private AI and LLMs – demands deep, holistic visibility into your data and AI models that legacy, disjointed security tools simply cannot provide.

With all of this in mind, today I am delighted to introduce the Zscaler AI Security Posture Management (AI-SPM) solution. Zscaler AI-SPM is the only solution of its kind to seamlessly integrate into a comprehensive Data Security Platform, providing end-to-end visibility and control into your entire data and AI universe. By leveraging advanced LLM classification, AI-SPM provides superior insights into all your AI data. Integrated to Zscaler’s Data Security Platform, security teams can also get a 360 degree view of all their data that is mapped to these AI models and identify misconfigurations, access risk, and vulnerabilities in AI agents, Open source AI models, and retrieval-augmented generation (RAG) data.
 

Fig. AI-SPM Overview Dashboard

Diving deeper into Zscaler AI-SPM, our solution first discovers, classifies and contextualizes all data in your environment. It’ll provide insight into where this data is, what this data is, who has access to this data, and what are the risks correlated to this data to determine the security posture of it. Then, as your teams begin to inject their models with training data sets, Zscaler AI-SPM scans all of your AI models, agents and services to provide greater understanding of your AI environment. This data classification and contextualization process is extended across cloud data stores as well as AI data stores such as vector databases for RAG and embedded data inside training data sets. In addition AI-SPM also provides significant information around AI supply chain such as model lineage, vulnerabilities and risk.  
 

Fig: Zscaler AI-SPM step by step process of mitigating AI and data risks

With all of this visibility and context, it can then correlate any AI or data risks to help prevent a security breach through data poisoning, misconfigurations, data exposure, entitlement issues and more. Zscaler AI-SPM will then provide guided remediation to ensure that security teams understand how to effectively mitigate these risks. 
 

Fig: Step-by-step remediation

In addition, Zscaler AI-SPM provides comprehensive visibility into AI and data compliance posture with a dynamic view of compliance status, configuration drifts, and policy violations. It also automatically benchmarks against regulations like GDPR or HIPAA as well as AI-specific standards like NIST AI RMF 600-1 and more through continuous monitoring and compliance reporting. This in-depth view into compliance will allow organizations to strengthen their AI governance.

Fig. Zscaler AI-SPM NIST AI 600-1 compliance view

Without a doubt, AI will become an important factor of your business. And to fearlessly adopt AI innovations, organizations need to prepare to fight these new AI risks. With Zscaler AI-SPM natively integrated into our comprehensive Data Security Platform, organizations can fully embrace the transformative power of AI in the cloud with confidence. 

To learn more about Zscaler AI-SPM, please visit here.

Ready to get a deep dive demo of our solution? Reach out to your Zscaler representative here.

This blog post has been created by Zscaler for informational purposes only and is provided "as is" without any guarantees of accuracy, completeness or reliability. Zscaler assumes no responsibility for any errors or omissions or for any actions taken based on the information provided. Any third-party websites or resources linked in this blog post are provided for convenience only, and Zscaler is not responsible for their content or practices. All content is subject to change without notice. By accessing this blog, you agree to these terms and acknowledge your sole responsibility to verify and use the information as appropriate for your needs.

Reference: 

1. Securing AI in 2025: A Risk-Based Approach to AI Controls and Governance
2. Top 10 AI Tools Transforming Customer Data Risk