Understanding the New Generation of GenAI Security Risks

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As the excitement around Generative AI (GenAI) continues to accelerate, so do concerns about its security, governance, and enterprise readiness. Gartner’s latest research highlights this evolving reality — identifying both the new risks that GenAI introduces and the emerging technologies designed to manage them.

Two recent Gartner reports — “Emerging Tech: Top 4 Security Risks of GenAI” and “Innovation Guide for Generative AI in Trust, Risk and Security Management” — outline the challenges enterprises face as AI adoption scales, and why solutions like Astrix are increasingly critical to secure this rapidly expanding ecosystem.

1. GenAI Expands the Enterprise Attack Surface

According to Gartner’s Emerging Tech: Top 4 Security Risks of GenAI, the adoption of large language models (LLMs), generative APIs, and chat-based interfaces connected to external systems significantly expands the enterprise attack surface.

The report notes:

“The use of generative AI (GenAI) large language models (LLMs) and chat interfaces, especially connected to third-party solutions outside the organization firewall, represent a widening of attack surfaces and security threats to enterprises.”

This shift means that AI tools are no longer confined to sandboxed environments — they are now deeply integrated into business workflows, SaaS platforms, and developer pipelines. Every API call, model connection, and plugin integration introduces a potential new entry point for attackers or data leakage.

While these integrations power innovation, they also bring new governance challenges — especially when enterprises rely on third-party black-box models where visibility and control are limited.

2. Astrix Recognized by Gartner for API Risk and Access Governance

In the same report, Astrix is recognized by Gartner as a Sample Vendor under the API Risk, Authorization, and Access-Control-Oriented category. This recognition underscores Astrix’s role in enabling secure adoption of GenAI technologies — helping organizations leverage advanced AI-driven integrations without compromising on governance or control.

Astrix’s platform helps organizations gain visibility into every non-human identity and connection — including those tied to GenAI tools, APIs, and automation pipelines — while enforcing least privilege and continuous authorization.

In practice, that means enterprises can confidently integrate LLMs and AI assistants while maintaining strict oversight over who (or what) has access to sensitive data and systems.

3. Gartner Defines a New Security Discipline: AI TRiSM

In “Innovation Guide for Generative AI in Trust, Risk and Security Management”, Gartner introduces the concept of AI TRiSM — Trust, Risk, and Security Management — as the next frontier for enterprise AI governance.

The report highlights that incorporating GenAI and LLMs into enterprise applications creates new risk vectors across three main categories:

• Content anomalies: Misinformation, hallucinated data, or manipulated outputs.
• Data protection risks: Exposure of sensitive or proprietary information during model training or inference.
• AI application security: New components and orchestration layers that traditional AppSec tools cannot fully secure.

Because hosting vendors often lack native controls to mitigate these risks, organizations are increasingly responsible for supplementing AI security with their own governance and validation layers.

Gartner notes:

“AI applications include new components to orchestrate the use of the models. This introduces security threats that conventional application security controls do not yet address… [including] unmanaged and unmonitored integration with third-party models offered ‘as a service’ through API calls and other IT supply chain risks.”

Astrix is recognized in this report as a Representative Vendor in AI Application Security, further validating its mission to bring visibility, control, and continuous monitoring to this emerging landscape.

4. Why Non-Human Identity Management Is Central to GenAI Security

To securely navigate the new GenAI ecosystem, enterprises must move beyond traditional user identity governance and adopt non-human identity (NHI) management as a foundational security capability.

Every AI tool, API, or model integration acts as a non-human identity — each with its own credentials, permissions, and access behavior. Without visibility or governance, these identities become invisible risks lurking within the enterprise infrastructure.

Astrix enables organizations to:

• Gain full visibility into all GenAI tools and non-human connections accessing business systems and data.
• Understand context and usage, including integration owners, activity levels, and business value.
• Enforce least privilege access to ensure that GenAI systems only access what they truly need.
• Detect and remediate anomalies in real time, such as stolen tokens, untrusted vendors, or suspicious API behavior.
• Automate governance with pre-built remediation workflows, access policies, and audit-ready reporting.

This approach helps organizations move from reactive controls to proactive governance — ensuring that GenAI innovation happens within a framework of transparency, safety, and compliance.

5. The Road Ahead: Securing AI at the Identity Layer

Gartner’s insights highlight a key truth: GenAI risk is identity risk. As AI-driven systems act with increasing autonomy — connecting to APIs, orchestrating workflows, and accessing enterprise data — identity becomes the new control point for AI security.

Astrix’s inclusion in these Gartner reports underscores its leadership in securing this new generation of identities. By extending visibility, governance, and control to AI and automation ecosystems, Astrix helps enterprises adopt GenAI confidently — driving innovation without introducing unmanaged risk.