Enterprise-grade security platforms that protect, monitor, and govern AI agents across their full lifecycle — from development through production deployment — with unified observability, threat detection, and compliance controls.
Agent Security Suite refers to specialized security platforms that protect businesses from the risks of using AI agents. These tools monitor what AI agents are doing, prevent them from accessing unauthorized systems, and help companies maintain control over their AI while ensuring they follow security policies and regulations.
Agent Security Suite is an enterprise AI cybersecurity platform category, led by vendors like Zenity, that provides unified security governance, runtime threat detection, and compliance controls for autonomous AI agents deployed across business environments, with custom pricing typically ranging from $10,000 to $200,000+ annually depending on scale and modules selected. As organizations moved beyond simple chatbot deployments into full agentic AI systems throughout 2024–2026, traditional application security tools proved fundamentally insufficient for the new risk surface that autonomous agents introduce. AI agents operate with elevated permissions, maintain persistent state, invoke external tools via protocols like MCP, and chain actions across multiple enterprise systems — creating attack vectors and compliance gaps that conventional WAFs, DLP, and endpoint security cannot address.
Zenity, founded in 2021 and headquartered in Tel Aviv with offices in New York, has emerged as the category-defining vendor with over 50 enterprise customers as of early 2026, including deployments across Fortune 500 financial services, healthcare, and government organizations. The platform processes security telemetry from more than 500,000 monitored AI agents across customer environments, analyzing over 2 billion agent actions monthly to detect threats and policy violations in real time.
The architecture is organized into three reinforcing modules. The Observability layer automatically discovers and inventories every AI agent across the enterprise — whether built by IT, purchased as SaaS, or created by business users in low-code environments — cataloging more than 15 attributes per agent including builder identity, data access scope, tool permissions, and runtime behavior patterns. AI Security Posture Management (AI-SPM) continuously assesses agent configurations against security baselines, identifying over-privileged agents, policy drift, sensitive data exposure, and compliance gaps mapped to frameworks including SOC 2, HIPAA, SOX, and GDPR. AI Detection and Response (AIDR) provides runtime threat detection covering prompt injection, jailbreaks, tool misuse, data exfiltration, and anomalous decision patterns, with mean detection time under 30 seconds for known attack patterns and automated response playbooks that can quarantine or restrict agents without full shutdown.
Native integrations span more than 10 major platforms: Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Power Platform, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, Amazon Bedrock, and Bedrock AgentCore. This breadth is critical because the average large enterprise now runs agents across 3–5 different platforms simultaneously, and consistent policy enforcement requires a vendor-neutral governance layer.
Zenity Labs, the company's in-house research arm, has published over 20 original vulnerability disclosures since 2023, including the widely cited AgentFlayer and PleaseFix findings that revealed systemic risks in enterprise agent frameworks. These discoveries feed directly into the detection engine, giving customers protection against emerging attack techniques before patches are available. The team also hosts the annual AI Agent Security Summit, drawing over 1,500 attendees in 2025, which has become a key venue for sharing threat intelligence across the agent security community.
Was this helpful?
Discovers and inventories every agent across the enterprise — homegrown, SaaS-managed, and device-based — capturing who built it, what data and tools it can access, and how it behaves at runtime. Gives security teams a single pane of glass across otherwise siloed agent ecosystems.
Continuously assesses agent configuration, permissions, and policy compliance, flagging over-privileged agents, drift from baseline, and exposure of sensitive data or systems. Modeled on CSPM principles but adapted for agent-specific risk surfaces.
Runtime threat detection and automated response for live agent activity, covering prompt injection, jailbreaks, tool misuse, exfiltration attempts, and anomalous decision patterns. Integrates response playbooks to contain threats without taking agents fully offline.
Native integrations across Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Power Platform, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, Amazon Bedrock, and Bedrock AgentCore, enabling consistent policy across heterogeneous agent stacks.
Surfaces unsanctioned agents built by business users in low-code environments, maps their data access, and applies governance guardrails before they reach production.
Dedicated controls for Model Context Protocol deployments, detecting tool-chain abuse and adversarial manipulation of agent tool calls — an emerging risk area as MCP adoption expands.
In-house research team that publishes original agent vulnerability disclosures (AgentFlayer, PleaseFix) and hosts the AI Agent Security Summit, feeding fresh detections and techniques directly into the product.
Custom quote — typically $10,000–$30,000/year for small environments
Custom quote — typically $30,000–$100,000/year based on agent volume and platform count
Custom quote — typically $100,000–$200,000+/year for large multi-platform estates
Ready to get started with Agent Security Suite?
View Pricing Options →We believe in transparent reviews. Here's what Agent Security Suite doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
Zenity has continued to expand platform coverage into the newest agent runtimes, including Amazon Bedrock AgentCore and Microsoft Foundry, reflecting the industry shift from static chatbots to multi-agent orchestration systems. The company has leaned further into original research through Zenity Labs, with named disclosures such as AgentFlayer and PleaseFix driving detections back into the product and raising the profile of agent-specific threats across the security community. In early 2026, Zenity announced enhanced MCP (Model Context Protocol) protection capabilities, adding dedicated controls for tool-chain abuse and adversarial manipulation of agent tool calls as MCP adoption accelerated across enterprise environments. The platform also deepened its compliance reporting with pre-built mappings for EU AI Act requirements and expanded data residency options to additional regions. The 2025 AI Agent Security Summit drew over 1,500 attendees, establishing it as a key industry event, and the company reportedly surpassed 50 enterprise customers with deployments monitoring over 500,000 agents collectively.
No reviews yet. Be the first to share your experience!
Get started with Agent Security Suite and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →