--- title: The ZioSec Platform: Operate Continuous Agent Validation description: Run continuous, AI-generated attacks across your entire agent fleet from one console. Compose per-agent policy, route findings, and export audit-ready evidence for GRC. url: https://ziosec.com/platform --- # The Platform for Operating Continuous Agent Validation One console for your entire AI agent fleet. Inventory every agent, run continuous campaigns where our AI attacks your AI, enforce per-agent policy, route findings to the teams who own them, and export audit-ready evidence. Built to run inside your environment, on your terms. [Book a Demo](/demo) | [See a Sample Report](/sample-report) ## A control plane for the agents your business now depends on Agents change daily. Models update, tools get added, prompts get edited, and new agents ship from teams you do not control. The ZioSec platform is where you see all of it, test all of it, and prove the state of it. This page is about operating the platform day to day. For the security case behind continuous red teaming, see [enterprise red teams](/enterprise-red-teams). For governance outcomes, see [continuous agent governance](/use-cases/continuous-agent-governance). ## Every agent in one inventory, with a live risk score Bring your whole fleet into one place: custom agents, Claude Code, and any agent built on MCP or A2A protocols. Each agent gets a profile of its model, tools, data access, and connected systems, plus a risk score that moves as the agent changes. Group agents by team, environment, or business unit. New agents are discovered and onboarded so nothing runs untested in the dark. When a model version or a tool changes, the platform flags the agent for revalidation automatically. ## AI attacks AI, on a schedule you control This is the core of the platform and the part no one can copy. Our AI studies each agent's architecture, tools, and data access, then autonomously generates bespoke, deep-chained attack trees unique to that agent and executes them in real time. Run campaigns continuously, daily, weekly, or on demand after a change. The attack library spans prompt injection, tool misuse, agent-to-agent exploits, privilege escalation, data exfiltration, jailbreaks, system prompt extraction, and credential abuse. As your agents evolve, the attacks evolve with them. This is [our methodology (A2OSF)](/methodology) in operation, the high-resolution taxonomy we record every finding in before exporting it to the six public standards. ## Compose per-agent policy and enforce it Not every agent carries the same risk, so not every agent should be tested the same way. Compose policy per agent or per group: which attack classes run, how aggressive campaigns get, required test cadence, severity thresholds that block a release, and the framework controls each agent must satisfy. Policy is versioned and enforced. An agent that drifts out of policy, or a finding above its threshold, raises an alert and can gate the pipeline before the agent reaches production. ## Send the right finding to the team that owns the fix A finding is only useful when it reaches the person who can act on it. Every finding includes severity, full reproduction steps, control-level framework mappings, and remediation guidance. Route findings automatically to the owning team and push them into Jira or ServiceNow as tickets, forward severity events to your SIEM, and notify owners in their existing channels. Developers get a reproducible defect. Security gets coverage. Governance gets evidence. No copy and paste between tools. ## Risk posture leadership can read at a glance Roll every finding up into a fleet-level view of risk. See trends over time, severity breakdowns by agent and by team, mean time to remediate, and coverage against each of the six frameworks. Filter to a business unit for an owner review, or stay at the fleet level for the board. The posture view answers the question a CISO actually gets asked: are our agents safer this quarter than last, and where is the remaining exposure. ## Deploy where your agents and your rules live Run the platform on-premises, in your cloud, or as a hybrid. Connect SSO and SAML for access, push tickets to Jira and ServiceNow, stream events to your SIEM, and export GRC-ready evidence into your compliance and trust workflows. The platform fits your environment and your controls instead of asking you to bend them. Findings flow out through the API so the platform sits inside the stack you already run. ## Safe by design Running live attacks against your own agents is a controlled capability. You define the bounds, and the platform respects them at every step. Nothing destructive is ever executed blind. - **You scope the blast radius.** Before any campaign runs, you set what is in bounds: which agents, which tools, and which data classes can be touched. Destructive actions are simulated or approval-gated, never executed without a human saying yes. Rate limits keep campaigns inside safe load. - **One-click stop.** Any campaign can be halted instantly from the console. Pause a single agent, a group, or the entire fleet in one click, with no cleanup required and no half-finished attack chains left running against production. - **Full audit log.** Every attack attempted, every approval, every stop, and every config change is timestamped and recorded. The same record becomes the audit-ready evidence packet: attacks attempted, which succeeded, severity, reproduction steps, control-level framework mappings, and timestamps, exportable for GRC and trust workflows. ## Three ways to deploy ZioSec ships in three delivery methods. The **platform** is the full continuous deployment in your environment, described on this page. The **API** lets you push our autonomous testing directly into your own pipelines and tools. The **scoped engagement** is a $10,000 expert-led pentest of a single agent and serves as the low-commitment on-ramp. 100% of the engagement fee credits toward an annual platform subscription, so you can start small and scale to the fleet without paying twice. ## Framework Coverage Every finding maps to control level in OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, the EU AI Act, and AIUC-1. Our methodology (A2OSF) is the high-resolution taxonomy we classify each finding in before exporting to those six public standards. ## Frequently Asked Questions **How is the platform different from the enterprise red teams page?** Same product, different lens. The enterprise red teams page makes the security case for why continuous validation matters. This page is about operating the platform day to day: inventory, campaigns, policy, routing, posture, and deployment. If you are evaluating how the product runs inside your environment, you are in the right place. **What does AI attacks AI actually mean in the platform?** Our AI studies each agent's architecture, tools, and data access, then autonomously generates bespoke, deep-chained attack trees unique to that agent and executes them in real time. Because the attacks are generated per agent and regenerated as the agent changes, they go far deeper than a fixed checklist or a static prompt library. This is the non-copyable core of the platform. **Can we run this on-premises?** Yes. The platform deploys on-premises, in your cloud, or as a hybrid. It supports SSO and SAML for access, pushes tickets to Jira and ServiceNow, streams events to your SIEM, and exports GRC-ready evidence. You keep your data and your controls in your environment. **How do we keep live testing from disrupting production agents?** You scope the blast radius before anything runs: which agents, tools, and data classes are in bounds. Destructive actions are simulated or approval-gated, never executed blind. Rate limits cap load, one-click stop halts any campaign instantly, and a full audit log records every action. It is a controlled capability, designed to be safe to run against real agents. **Which frameworks do findings map to?** Every finding maps to control level in OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, the EU AI Act, and AIUC-1. Our methodology (A2OSF) is the high-resolution taxonomy we classify each finding in before exporting to those six public standards, so the same evidence serves security, engineering, and audit at once. **What are the ways to buy, and is there a low-commitment start?** Three delivery methods. The platform is the full continuous deployment in your environment. The API lets you push our autonomous testing into your own pipelines and tools. The scoped engagement is a $10,000 expert-led pentest of one agent, and it is the low-commitment on-ramp: 100% of the fee credits toward an annual platform subscription. Start small, then scale to the fleet. ## Related - [Enterprise Red Teams](/enterprise-red-teams) - [Our Methodology (A2OSF)](/methodology) - [Scoped Pentest Engagement](/ai-agent-pentesting) ## See the platform run against agents like yours Book a demo and we will walk through fleet inventory, a live campaign, policy enforcement, and an exported evidence packet. Or read a sample report first to see exactly what the platform produces. [Book a Demo](/demo) | [See a Sample Report](/sample-report) ## Contact - Email: info@ziosec.com - Phone: +1-720-807-2737 - Location: Boulder, CO - Book a demo: [/demo](/demo)