--- title: Continuous Agent Validation Use Cases description: Continuous offensive validation that triggers the moment an agent comes into existence. Explore four use cases: validate agents, govern them, get software on demand, and inventory. url: https://ziosec.com/use-cases --- # Continuous Agent Validation An agent is an attack surface the moment it comes into existence. ZioSec runs continuous offensive validation against every agent you build or deploy, triggered automatically as agents appear, change, and connect to new tools and data. Our AI generates bespoke, deep-chained attack trees unique to each agent's architecture and executes them in real time. Pick the outcome you need below. [Book a Demo](/demo) | [See a Sample Report](/sample-report) ## Validation that starts the moment an agent exists Agents are not static software. Models update, tools get added, and permissions drift, all between releases. A point-in-time pentest is stale by the time it ships. ZioSec treats the creation of an agent as the trigger for offensive validation, then keeps testing for the life of the agent. The engine is the differentiator: AI attacks AI. Our system reads each agent's architecture, tools, and data access, generates bespoke deep-chained attack trees no template could anticipate, and runs them in real time. Findings roll into developer tickets, fleet-level risk posture, and audit-ready evidence. This is a controlled capability. You scope the blast radius (which agents, tools, and data classes are in bounds), destructive actions are simulated or approval-gated and never executed blind, every run has a one-click stop, rate limits, and a full audit log. The four use cases below are different doors into the same continuous engine. ## Validate your agents Find the vulnerabilities in your agents before an adversary does, continuously. ZioSec hits every agent you run (custom agents, Claude Code, and any agent built on MCP or A2A protocols) with attacks generated specifically for its tools and data access: prompt injection, tool misuse, agent-to-agent exploits, privilege escalation, data exfiltration, jailbreaks, and system prompt extraction. Each finding ships with severity, reproduction steps, control-level framework mappings, and remediation guidance, routed straight to the team that owns the agent. Validation re-runs automatically when a model, tool, or permission changes, so coverage never goes stale between releases. [Validate your agents](/use-cases/validate-your-agents) ## Continuous agent governance Turn live attack results into the evidence layer your AI governance program is missing. Every validation run produces an audit-ready packet: which attacks were attempted, which succeeded, severity, reproduction steps, control-level mappings to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, EU AI Act, and AIUC-1, with timestamps and export for your GRC and trust workflows. Our methodology (A2OSF) maps each offensive finding into those six public standards, so risk posture is grounded in attacks that actually ran, not a checklist or a questionnaire. Because validation is continuous, your posture reflects the agents you run today, not the ones you ran last quarter. [Continuous agent governance](/use-cases/continuous-agent-governance) ## Agentic software on demand Not every team has an offensive security function, and agent risk does not wait for one. ZioSec delivers adversarial validation as software you switch on: connect an agent, scope what is in bounds, and get attacks generated and executed against it without standing up a red team or writing a single test. For a defined first engagement, the scoped pentest is a low-commitment on-ramp at $10,000 that credits 100% toward an annual platform subscription. Start with one agent or one campaign, see real findings, and scale into continuous coverage when you are ready. [Agentic software on demand](/use-cases/agentic-software-on-demand) ## Build your agent inventory You cannot validate what you cannot see, and unauthorized agents are already in production across most enterprises. ZioSec helps you discover and catalog the agents running in your environment, custom builds, Claude Code, and anything built on MCP or A2A protocols, then attaches a live risk score to each one. The inventory is not a static spreadsheet. Every agent that appears becomes a validation target automatically, so the list of what you run and the evidence of how safe it is stay in lockstep. [Build your agent inventory](/use-cases/diy-agent-inventory) ## Three axes of continuous validation One engine, measured along three dimensions, working the moment an agent exists. - **AI attacks AI.** Our AI reads each agent's architecture, tools, and data access, then generates bespoke deep-chained attack trees and executes them in real time. Unique per agent, not a template. This is the non-copyable core. - **Triggered by existence.** Validation starts the moment an agent comes into being and re-runs whenever a model, tool, or permission changes. Coverage tracks your fleet continuously instead of going stale between releases. - **Safe by design.** You scope the blast radius: which agents, tools, and data classes are in bounds. Destructive actions are simulated or approval-gated, never executed blind. One-click stop, rate limits, and a full audit log on every run. ## Frequently asked questions **What is continuous agent validation?** It is offensive security that treats the creation of an agent as the trigger to start testing, then keeps testing for the life of the agent. ZioSec generates bespoke deep-chained attacks unique to each agent's architecture, tools, and data access, executes them in real time, and re-runs them whenever a model, tool, or permission changes. A point-in-time pentest is stale the day after it ships. Continuous validation tracks your agents as they actually evolve. **How is this different from a traditional penetration test?** A traditional pentest is a scoped, point-in-time engagement run mostly by humans against a fixed target. ZioSec is AI attacking AI: our system autonomously generates attack trees tailored to each agent and runs them continuously as the agent changes. If you want a defined starting point, the scoped pentest engagement at $10,000 is a low-commitment on-ramp, and it credits 100% toward an annual platform subscription. **Which agents can ZioSec validate?** Custom agents, Claude Code, and any agent built on MCP or A2A protocols. ZioSec reads the agent's real architecture, tools, and data access to generate attacks specific to it, rather than running a generic checklist against everything. **Is it safe to run live attacks against my own agents?** Yes, because it is a controlled capability. You scope the blast radius up front: which agents, tools, and data classes are in bounds. Destructive actions are simulated or approval-gated and never executed blind. Every run has a one-click stop, rate limits, and a full audit log, so you stay in control at all times. **What evidence do I get out of a validation run?** An audit-ready packet: the attacks attempted, which succeeded, severity, reproduction steps, control-level mappings to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, EU AI Act, and AIUC-1, with timestamps and export for GRC and trust workflows. The same finding also becomes a developer ticket and rolls into fleet-level risk posture. **Which use case should I start with?** If you build agents and want to find bugs first, start with validating your agents. If you own risk or audit, start with continuous agent governance. If you have no red team and want results fast, start with agentic software on demand. If you are not sure what agents you even have, start with building your agent inventory. All four run on the same continuous engine. ## Related - [The Platform](/platform) - [Our Methodology (A2OSF)](/methodology) - [Scoped AI Agent Pentest](/ai-agent-pentesting) ## See continuous validation against a real agent Book a demo and watch ZioSec generate and run bespoke attacks against an agent, or read a sample report to see exactly what the audit-ready evidence looks like before you talk to us. [Book a Demo](/demo) | [See a Sample Report](/sample-report) ## Contact ZioSec, Boulder CO. Email info@ziosec.com or call +1-720-807-2737. Book a demo at /demo.