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Enterprise Agents🟢No Code
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Agent Security Suite

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.

Starting atCustom quote — typically $10,000–$30,000/year for small environments
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In Plain English

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.

OverviewFeaturesPricingGetting StartedUse CasesLimitationsFAQ

Overview

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.

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Key Features

Unified Agent Observability+

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.

AI Security Posture Management (AI-SPM)+

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.

AI Detection and Response (AIDR)+

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.

Broad Platform Coverage+

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.

Shadow AI and Citizen Developer Controls+

Surfaces unsanctioned agents built by business users in low-code environments, maps their data access, and applies governance guardrails before they reach production.

MCP and Tool-Use Protection+

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.

Zenity Labs Threat Intelligence+

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.

Pricing Plans

Observability

Custom quote — typically $10,000–$30,000/year for small environments

  • ✓Agent discovery and inventory across all connected platforms
  • ✓Shadow AI detection for low-code and citizen-built agents
  • ✓Basic configuration and posture reporting
  • ✓Standard SIEM integration and webhook alerts
  • ✓Email-based support with 48-hour SLA

Enterprise

Custom quote — typically $30,000–$100,000/year based on agent volume and platform count

  • ✓Full Observability plus AI-SPM module
  • ✓Continuous posture assessment and compliance reporting
  • ✓Integrations across all supported agent platforms
  • ✓Shadow AI discovery and citizen developer governance
  • ✓Dedicated customer success manager
  • ✓SSO/SAML and RBAC with granular permissions

Enterprise Plus

Custom quote — typically $100,000–$200,000+/year for large multi-platform estates

  • ✓Full Observability, AI-SPM, and AIDR modules
  • ✓Runtime threat detection and automated response workflows
  • ✓Access to Zenity Labs threat intelligence feed
  • ✓MCP and tool-use protection controls
  • ✓Custom connector development support via SDK
  • ✓Dedicated security architect and priority onboarding
  • ✓Data residency controls (US and EU)
  • ✓24/7 premium support with 4-hour SLA
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Getting Started with Agent Security Suite

  1. 1Request a demo at zenity.io and schedule a discovery call with the sales engineering team to map your current AI agent landscape and security requirements
  2. 2Complete the agent discovery phase by deploying Zenity's lightweight connectors to your cloud environments, SaaS platforms, and endpoint management systems to inventory all active AI agents
  3. 3Work with your assigned security architect to define initial governance policies including agent permission boundaries, data access rules, and runtime behavior thresholds for your highest-risk agents
  4. 4Configure SIEM integration and alert routing so that Zenity threat detections flow into your existing security operations center (SOC) workflows and incident response procedures
  5. 5Run a 30-day monitored pilot on a subset of production agents to baseline normal behavior patterns before enabling enforcement mode on policy violations
Ready to start? Try Agent Security Suite →

Best Use Cases

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Large enterprises rolling out Microsoft 365 Copilot or Copilot Studio who need visibility into what agents employees are building and what data those agents can reach

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Security teams governing Salesforce Agentforce or ServiceNow agents that touch customer records and need audit trails for compliance reviews

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Financial services and healthcare organizations deploying AI agents under regulatory scrutiny who need demonstrable controls for data handling and decision accountability

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Organizations adopting MCP (Model Context Protocol) at scale who need to detect and contain tool-abuse or prompt-injection attacks against agent chains

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Companies with heterogeneous agent estates across Bedrock, Vertex AI, and ChatGPT Enterprise who want one policy plane instead of per-vendor controls

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Enterprises trying to detect and rein in shadow AI — unsanctioned agents built by business users in low-code platforms without security review

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Agent Security Suite doesn't handle well:

  • ⚠Zenity is not a self-serve product and cannot be evaluated without engaging sales, which limits its fit for small teams and individual developers. It adds a governance layer rather than replacing native platform controls, so buyers running only one agent ecosystem may find that native options (Microsoft Purview, hyperscaler guardrails, Salesforce Shield) cover enough

Pros & Cons

✓ Pros

  • ✓Broad cross-platform coverage spanning Microsoft Copilot, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, and Amazon Bedrock in a single control plane
  • ✓Three-layered architecture (Observability, AI-SPM, AIDR) maps cleanly to established security disciplines like CSPM and EDR, shortening the learning curve for existing SecOps teams
  • ✓Active original research program through Zenity Labs, with named vulnerability disclosures like AgentFlayer and PleaseFix that feed detections back into the product
  • ✓Detects shadow AI and citizen-developed agents in low-code environments like Power Platform, which most general-purpose security tools miss entirely
  • ✓Industry-specific framing for financial services, government, and healthcare with compliance-oriented controls suited to regulated deployments
  • ✓Runtime threat detection goes beyond static posture scanning to catch prompt injection, data exfiltration, and anomalous agent behavior in production

✗ Cons

  • ✗Enterprise-only pricing with no published tiers, free trial, or self-serve option — unsuitable for small teams or early-stage experimentation
  • ✗Value depends on the breadth of agent platforms you actually run; single-platform shops may find narrower native tooling cheaper
  • ✗Agentic AI security is a young category, so detection coverage and false-positive rates are still maturing across the industry, Zenity included
  • ✗Requires meaningful integration work and permissioned connections to each agent platform, which can be slow in change-controlled enterprises
  • ✗Overlaps with features now appearing natively in Microsoft Purview, Salesforce Shield, and hyperscaler AI guardrails, forcing buyers to justify a dedicated layer

Frequently Asked Questions

What makes agent security different from traditional application security?+

AI agents operate autonomously with elevated permissions, maintain state across interactions, invoke external tools, and chain actions across systems. Traditional application security focuses on input/output validation for request-response applications, but agent security must monitor the full execution path — including tool calls, memory access, data usage, and control flow — to detect threats that emerge from the combination of legitimate actions rather than any single malicious input. For example, an agent that individually queries a CRM, accesses a file share, and sends an email may be executing a data exfiltration chain even though each step looks normal in isolation. Agent security suites correlate these multi-step behaviors, apply intent-based analysis, and enforce runtime policies that traditional WAFs and endpoint tools are not designed to handle.

How does Zenity detect prompt injection attacks that bypass traditional filters?+

Zenity uses intent-based detection that examines the complete execution path of an agent rather than just filtering inputs. By analyzing tool calls, memory access patterns, data usage behaviors, and control flow decisions together, it identifies malicious outcomes even when the initial prompt appears benign. This catches sophisticated multi-step injection techniques — such as indirect prompt injection via poisoned documents or delayed payload execution — that keyword-based and pattern-matching filters miss. The detection engine is continuously updated with findings from Zenity Labs, which has documented over 20 original attack vectors against enterprise agent platforms since 2023, ensuring coverage evolves alongside attacker techniques.

What types of AI agents and platforms does the security suite cover?+

Agent Security Suites like Zenity provide coverage across SaaS-based AI agents (Microsoft 365 Copilot, Copilot Studio, Salesforce Agentforce, ServiceNow), custom-built agentic applications running on cloud infrastructure (Amazon Bedrock, Amazon Bedrock AgentCore, Google Vertex AI, Azure OpenAI), low-code platform agents (Microsoft Power Platform, Microsoft Foundry), and enterprise chat agents (ChatGPT Enterprise). In total, Zenity offers native integrations with more than 10 major platforms. Discovery and monitoring capabilities are deepest on major enterprise platforms with full API access, while custom-built agents can be covered through the REST API and SDK-based connector framework that allows security teams to instrument proprietary agent architectures.

How long does a typical enterprise deployment take?+

Initial agent discovery and inventory can be completed in 1–2 weeks for most environments, as the lightweight connectors require only API-level access rather than code instrumentation. Full deployment including policy configuration, SIEM integration, alert routing, and team training typically takes 4–8 weeks depending on environment complexity, the number of agent platforms in scope, and internal change management processes. Organizations with 3 or fewer agent platforms and existing SSO infrastructure tend to fall on the shorter end. Most vendors recommend a 30-day monitoring-only pilot before enabling enforcement mode, allowing security teams to tune detection thresholds and reduce false positives before policies start blocking agent actions.

Is there a free or startup tier available?+

Currently, most agent security suite vendors including Zenity operate exclusively through enterprise sales with custom pricing. Zenity's entry-level Observability tier starts at approximately $10,000–$30,000 annually for smaller environments, while full Enterprise Plus deployments with runtime detection and response scale to $200,000 or more. There are no self-serve free tiers or startup programs publicly available as of early 2026. Smaller organizations or individual developers may want to evaluate developer-focused alternatives like Lakera Guard, which offers API-based LLM guardrails with a free tier, or open-source tools like Rebuff and LLM Guard for basic prompt injection protection before committing to an enterprise platform.

What compliance frameworks do agent security suites support?+

Enterprise agent security platforms typically support SOC 2 Type II, GDPR, HIPAA, and SOX compliance requirements through built-in audit trails, access controls, and compliance reporting templates. Zenity specifically provides pre-built report mappings for these frameworks, generating evidence packages that document agent permissions, data access patterns, policy enforcement actions, and security events in formats auditors expect. For organizations in regulated industries like financial services and healthcare, the platform tracks which agents access sensitive data, logs every tool invocation and decision point, and maintains immutable records of policy changes. Coverage for emerging AI-specific regulations such as the EU AI Act is being developed, and organizations should confirm support for their specific compliance requirements during vendor evaluation.
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What's New in 2026

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.

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Quick Info

Category

Enterprise Agents

Website

zenity.io
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