
Key Takeaways
- AI agents introduce a new, dynamic risk model. They act autonomously, access sensitive data, and interact across systems, making traditional security approaches insufficient.
- Zenity + ServiceNow SecOps bring agent security into existing workflows. The integrated solution embeds visibility, risk insights, and controls directly where security teams already operate.
- Deep visibility is the foundation. With full agent inventory, context (data, permissions, dependencies), and behavioral insights to eliminate blind spots.
- Continuous posture management and vulnerability assessment. This serves to enable teams to detect misconfigurations, prioritize risk, and proactively secure agents as they evolve.
- End-to-end, cross-platform coverage. Ensures organizations can govern and secure agents everywhere, not just in ServiceNow, while scaling AI safely.
As agents take on more responsibility, they also introduce a new class of security challenges, ones that traditional tools weren’t built to handle. This is why Zenity and ServiceNow have partnered to bring end-to-end agent security directly into ServiceNow SecOps, where security teams already operate.
The SecOps Gap in the Age of Agents
ServiceNow customers are rapidly embedding AI agents into business-critical workflows. These agents:
- Access sensitive enterprise data
- Invoke workflows and scripts
- Call APIs and external systems
- Make autonomous, multi-step decisions
This combination of autonomy + access + action fundamentally changes the risk model. Security teams can’t rely on yesterday’s playbooks of securing static applications and/or infrastructure, they are now responsible for non-deterministic systems that think, decide, and act dynamically.
And that creates a visibility problem. Now, security teams need to answer:
- What agents exist across the enterprise?
- How are they built, and what dependencies do they have?
- What data do they access, and what actions do they take?
- Where are the risks, misconfigurations, or policy violations?
Without this level of insight, agents become blind spots inside the organization’s most critical workflows.
Bringing Agent Security Into SecOps
ServiceNow SecOps is the system where organizations already prioritize, investigate, and remediate risk.
The Zenity integration extends SecOps to cover AI agents everywhere, whether in ServiceNow environments or not; embedding deep visibility, security intelligence, and continuous risk assessment directly into existing security workflows.
Zenity hydrates SecOps with the context security teams need to understand and secure agents end-to-end, providing an additive solution for security, operations, and incident response teams that are responsible for triaging risk.
This shifts agent security from a disconnected effort into a core part of enterprise security operations.
From Visibility to Actionable Security
The foundation of securing AI agents is visibility, but not just surface-level discovery.
Security teams need deep, contextual insight into how agents are built, how they behave, and where risk emerges.
Zenity delivers this inside SecOps in three critical layers:
1. Complete Agent Inventory
Zenity provides a continuously updated inventory of all agents across the enterprise. The platform goes further, mapping the full context behind each agent, including surfacing insights for each agent, like:
- Underlying workflows, topics, and actions
- APIs, integrations, and external systems
- Identities, permissions, and credentials
- Data sources and data flows
- Dependencies across systems
This helps SecOps go deeper for agents, helping security and incident response teams understand not just what agents exist, but also each agent in the broader context of the environment, ecosystem, and business context.
2. AI Security Posture Management (AISPM)
Zenity’s AISPM engine, now natively integrated into SecOps, continuously analyzes agents to surface:
- Excessive or misconfigured permissions
- Unsafe prompt logic or construction
- Data exposure risks and compliance gaps
- Broken or risky integrations
- Dependency and orchestration weaknesses
This gives customers the ability to prioritize agent risk just like any other vulnerability, using the same workflows and processes they already trust.
3. Vulnerability Insights and Continuous Assessment
Unlike traditional systems, agent risk doesn’t stay static. Agents evolve, learn, and interact with changing environments, meaning risk can emerge at any time. Zenity continuously feeds SecOps with:
- Real-time vulnerability insights
- Misconfigurations and drift detection
- Risk scoring and prioritization
- Contextual signals for investigation and triage
This enables security teams to move from reactive analysis to continuous, proactive risk management for agents.
Extending Security Beyond ServiceNow
Agents don’t just live on a single platform. They exist in a variety of environments, such as SaaS applications, custom-built systems, and endpoints. Zenity extends SecOps visibility and control beyond ServiceNow, enabling organizations to:
- Apply consistent policies, using consistent language and metadata across all agentic platforms
- Correlate signals across environments
- Secure the full lifecycle of agents from creation to runtime
This ensures that security teams are not just managing agents in one system, but governing the entire agent ecosystem.
Why This Matters Now
The Zenity and ServiceNow partnership delivers:
- Deep visibility into agent behavior and structure
- Continuous risk assessment and prioritization
- Seamless integration into existing workflows
- The ability to act quickly when risks emerge
Thus bringing agent security into the operational heart of the enterprise.
The Future of Security & Operations Is Agent-Aware
AI agents are redefining how work gets done.
But with that transformation comes a new responsibility: securing systems that do not behave linearly and actively interpret (and misinterpret) what they’re supposed to do next, resulting in unpredictable systems by nature.
By embedding Zenity natively into ServiceNow SecOps, organizations gain the visibility, intelligence, and control needed to:
- Understand their agent landscape
- Identify and prioritize risk
- Integrate security into every stage of the agent lifecycle
- Scale AI adoption without compromising trust
Because in the era of autonomous systems, security means understanding and controlling the agents that run the business. If you'd like to see this in action, get in touch and we'd love to show you!
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