Agentic AI Protection and Governance
Veza helps organizations strive towards the principle of least privilege by combining Generative AI-powered capabilities with built-in AI governance – empowering Security & Identity teams to prevent, detect, and respond to identity-based threats. Access AI brings GenAI based capabilities to all Veza products.
Decoding Identity Security for AI Security Posture Management (AISPM)
See how securing AI starts with tracking and governing the entire agentic lifecycle and data ecosystem. As Gartner notes, a core function of AI Security Posture Management (AI SPM) is discovering AI models and their data pipelines to evaluate how they create risk.
AI Agents in the Enterprise and Their Implications for Identity Security
As AI agents become integral to enterprise operations, they bring both transformative potential and new security challenges. This blog delves into the types of AI agents, their capabilities, and the identity security risks they pose. Learn why a robust identity framework is essential to manage these autonomous systems effectively.
Veza for OpenAI and Azure AI Services
In today’s enterprise landscape, AI isn’t just a tool—it’s becoming integral to critical business processes. But as organizations experiment and integrate with generative artificial intelligence, a critical security gap is emerging: Who exactly has access to your AI resources, and what can they do with that access?
Our latest integration brings Veza’s identity security expertise to your OpenAI environment. See How to Govern OpenAI Access While Enforcing Least Privilege from Three Enterprise Perspectives.
Complete Discovery
Automatically identifies all users with access to your OpenAI organization and maps their assigned roles (Owner/Reader) to specific permissions
Permission Intelligence
Reveals who can control organization management, billing modifications, and member management
Unified Visibility
Integrates OpenAI access governance into your broader identity security program alongside your other 200+ business systems
Zero Complexity
Visualize and control data access across all systems, proactively mitigating risks for both human and machine identities.
Model Context Protocol (MCP): Implications on identity security and access risks for modern AI-powered apps
The Model Context Protocol (MCP) is revolutionizing AI integration by enabling seamless connections between AI agents and enterprise systems. While this advancement boosts efficiency, it also introduces new identity security challenges, especially concerning non-human identities. This blog explores the security implications of MCP and offers strategies to mitigate associated access risks.
Trust as the Foundation for Agentic AI Architecture
Veza secures agentic AI systems across model, infrastructure, and application layers. From OpenAI to vector databases like Postgres with pgvector, Veza delivers access visibility and control across the AI lifecycle—governing who can access what, when, and why. Run modern AI apps like Microsoft Copilot and Perplexity.AI with confidence, trust, and governance.
