Homegrown Doesn't Automatically Mean Secure
Agents built on AWS Bedrock, Azure AI Foundry, Google Vertex AI, or on an organization's own infrastructure make decisions where context and intent converge.
Recognized by
Critical Damage Doesn't Require an Attacker
Where Decisions get Risky
For cloud and homegrown agents specifically, that loop runs constantly; exposure informs runtime decisions, investigations sharpen policy, and every decision strengthens the next.
An access role nobody revoked
An agent built for a project that ended keeps its credentials and its access long after anyone remembers it exists.
A memory that shouldn't have carried forward
A coding or research agent retains context from an earlier session and applies it to a task it was never meant to touch, with no credential ever being misused.
A tool call to something never approved
A homegrown agent reaches an MCP server or third-party API outside policy, and the same enforcement that governs everything else catches it.
Securing the Behavior, Intent, and Impact
Cloud and homegrown agents carry their own credentials and often their own infrastructure, which is exactly why context and intent need to be watched together, at the decision, not pulled apart into separate checks.
Surface What’s Deployed, What It Can Reach, and What’s Actually Exploitable
AI Observability inventories every agent deployed across an organization's cloud platforms and frameworks. AISPM evaluates each one's configuration and IAM permissions against policy before it reaches production. AI Exposure Management validates which of an agent's cloud access paths are actually exploitable, not just theoretically risky.
Enforce What a Homegrown Agent Is Allowed To Do, and Hold That Line
Runtime Boundaries evaluate every action a cloud agent takes in real time and let it through, block it, or shut the agent down. Agentic Identity correlates that enforcement with the agent's actual credentials, so a role that's been deactivated or over-scoped gets caught before it's exploited.
Detect What a Cloud Agent Actually Did, and Respond
AIDR monitors cloud agent execution step by step, mapped to OWASP and MITRE ATLAS, and blocks unsafe actions in real time. The platform reconstructs the full decision chain when something gets through anyway, and Guardian Agents learn from every investigation to sharpen the next rule.
A Continuous Loop, Not a One-Time Check
For cloud and homegrown agents specifically, that loop runs constantly; exposure informs runtime decisions, investigations sharpen policy, and every decision strengthens the next.
Trusted by Forward-Looking Security Leaders
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
Research and Insights Shaping the Future of AI Agent Security
Zenity Labs delivers original research, threat intelligence, and hands-on experimentation focused on the emerging risks of AI Agents. From real-world attack techniques to prompt injection patterns and policy best practices, our team explores what others haven’t so you can secure what’s next.
Analyst Recognition & Research Coverage
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