Predicting Agent Risk Isn’t the Same As Proving It
Zenity's AI Exposure Management validates which agents an attacker could actually exploit and prioritizes the risk so teams know where to focus

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Seeing Agents Isn’t the Same As Knowing Risk
Proven Then Prioritized
When every issue is validated, security teams stop spending time on findings that might not even be real. Instead of triaging thousands of raw misconfigurations, teams work a short, ranked list of paths that are actually exploitable today, each with a defensible score and a fix already mapped to it.
Less noise, more signal
The default view shows only complete, exploitable paths, not every configuration finding that could theoretically go wrong, so what appears is always worth acting on.
A score teams can defend
Every issue gets a risk score from 0 to 100 with a clear severity: critical, high, medium, or low. The same input always produces the same score, so prioritization holds up when leadership or an auditor asks why.
Remediation in minutes, not weeks
Every issue ships with a fix already mapped to a specific step in the chain, ready to apply in Boundaries without opening a developer ticket.
How a Raw Signal Becomes a Proven Fix

Find the Path Before It’s an Incident
Data exfiltration via untrusted trigger
An agent ingests untrusted input, like an email, a webform, or a ticket, and that same tainted context flows into a sensitive data pull and out through an external send.
Cross-agent data poisoning
One agent writes untrusted content into a shared system; a second agent reads it as trusted and acts on it, including destructive actions like delete or reassign.
Privileged action by untrusted trigger
A delete, modify, or write executes while untrusted external content is still in the agent's scope.
Credential access through agent
An agent passes secrets, tokens, or API keys to a destination or log influenced by untrusted input.
Sensitive data crossing tenant boundary
PII, financial, or regulated data leaves an approved region, tool, or tenant.
Records exfiltrated to an out-of-policy destination
An agent reads CRM or ticketing records and writes them somewhere outside approved policy.
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
Analyst Recognition & Research Coverage
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