TLDR Understanding the AI-SPM vs DSPM distinction matters because these two categories cover adjacent but distinct surfaces. DSPM finds and classifies sensitive data across cloud environments and enforces access policy at the data layer. AI-SPM inventories AI models, agents, pipelines,…
To evaluate AI agent security platforms without being misled by demos , and to understand how to evaluate AI agent security platforms in a way that produces a defensible purchase decision , run a staged proof of concept against your…
The best Noma Security alternatives for enterprise AI agent protection are Lasso Security, Zenity, Straiker, Prompt Security, WitnessAI, Lakera, Obsidian Security, and Protect AI. Each addresses a distinct gap: Zenity for Microsoft Copilot and low-code agent coverage, Lakera for prompt…
The ai agent security companies market covers six functional control planes: agent discovery and inventory, agent identity and access, runtime enforcement and session control, guardrail and prompt-layer protection, governance and policy management, and red teaming and adversarial testing. Vendors in…
The best AI agent discovery and monitoring tools for security teams in 2026 split into two categories: engineering observability platforms that instrument agent behavior for reliability and cost, and security-focused discovery tools that find agents nobody registered, audit what those…
AI-SPM discovers, inventories, and assesses the configuration of AI assets: models, training pipelines, inference endpoints, and data stores. AI agent security enforces policy at runtime, controlling what an autonomous agent can access, call, and do during execution. The two disciplines…
The best AI agent security platforms in 2026 are those that enforce policy at runtime, at the level of individual tool calls and action approvals, rather than reporting agent inventory after the fact. Purpose-built vendors including Zenity, Noma, Straiker, Lasso…
