# ZioSec: Full Site Content > This document contains the complete readable content of ziosec.com for AI agents and LLM crawlers. > Last generated: 2026-05-06 --- ## Home ### Continuous Pentesting of AI Agents. ZioSec is the platform for continuous AI agent validation. AI agents are a black box. ZioSec runs autonomous deep-chained attacks against agents the way a real attacker would. Each finding becomes an artifact that rolls up into fleet-level risk posture, audit evidence, and developer remediation. #### The Platform **Continual Validation:** Test your agents the same way an adversary would, autonomously and continuously. **AI Attacks AI:** Our AI creates bespoke deep-chained attacks for your unique AI agent and executes them in real time. **Findings:** Findings are used to create developer tickets for fixes, CISO risk reports, and artifacts for governance. **Any Agent:** We support custom agents as well as standard agents like Claude Code. #### Who Is This For - **Security Teams:** Continuous red teaming for your AI agent fleet. [Learn more](https://ziosec.com/enterprise-red-teams) - **Governance Teams:** The evidence layer your AI governance stack is missing. [Learn more](https://ziosec.com/governance-risk-compliance-teams) - **Pentesting Service:** Expert-led AI agent penetration testing. [Learn more](https://ziosec.com/ai-agent-pentesting) #### One Finding. Three Outcomes. Each finding becomes an artifact that rolls up into: 1. **Risk Posture.** Rolled into a company-wide agentic risk posture score across all agents. 2. **Audit Evidence.** Used as audit-ready evidence for compliance, GRC, and trust platforms. 3. **Dev Team Routing.** Routed to the development team responsible for the agent for remediation. #### Industry Statistics - 88% of enterprises deploying agents by end of 2026 - 85% of agentic attack surface untested - 48% of CISOs expect agentic AI = #1 attack vector in 2026 - 38% of businesses have unauthorized agent deployments Sources: Gartner, Adversa AI, CrowdStrike, Nebulock --- ## For Security Teams **URL:** https://ziosec.com/enterprise-red-teams ### You are talented. But you are only human. AI has changed everything. Models get better every day. Connections update. Experimentation is running wild. The attack surface is changing hourly. You need continuous pentesting of AI agents to keep up. #### Continuous red teaming for your entire agent fleet ZioSec's platform allows your security team to load in every AI agent being used in your organization and continuously pentest them to uncover all of their vulnerabilities, giving you an accurate view of your attack surface. **Load Your Agents:** See every agent. Know every risk. Bring your entire agent fleet into one place. Custom agents, Claude Code, OpenAI Assistants, everything your organization runs. Get a real-time inventory with risk scores and status at a glance. **Continuous Pentesting:** AI-generated attacks. Run continuously. ZioSec's AI creates bespoke deep-chained attack trees unique to each agent's architecture, tools, and data access. These aren't static checks. They're adversarial campaigns that run continuously as your agents evolve. **Attack Database:** Hundreds of attack patterns. Every attack class. Prompt injection, tool misuse, agent-to-agent exploits, privilege escalation, data exfiltration, jailbreaks, system prompt extraction, credential abuse, and more. ZioSec's attack database covers the full agentic attack surface and grows every day. **Findings & Remediation:** Actionable findings. Routed to the right team. Every finding includes severity, reproduction steps, framework mappings, and remediation guidance. Send remediation reports directly to the development teams building your custom agents. **Risk Posture:** Show your CISO the risk posture improving. Produce executive reports that show risk trends over time, severity breakdowns by agent, and remediation progress across your entire fleet. #### Why continuous? A one-time pentest is a snapshot. The agentic attack surface doesn't hold still. - **Models update.** Foundation models release new versions constantly. Each update can change agent behavior and introduce new vulnerabilities. - **Connections change.** New tools, APIs, and integrations get added to agents every week. Each one is a new entry point for an adversary. - **Experimentation is wild.** Teams across your organization are building and modifying agents daily. The attack surface changes hourly. #### FAQ - **How does continuous pentesting differ from a one-time engagement?** A one-time pentest gives you a snapshot. Continuous pentesting gives you a living picture. Agents change constantly: models update, tools get added, prompts are modified. ZioSec runs adversarial campaigns on an ongoing basis so your risk posture reflects reality, not a point in time. - **What types of agents does ZioSec support?** ZioSec supports custom-built agents as well as standard agents like Claude Code, OpenAI Assistants, and any agent built on MCP or A2A protocols. - **What does our team need to do to get started?** Load your agents into the ZioSec platform. We handle the rest. - **Can we use this alongside our existing pentest program?** Yes. ZioSec augments your existing offensive security capability. - **How are findings mapped to compliance frameworks?** Every finding is automatically mapped to OWASP ASI, MITRE ATLAS, ISO 42001, NIST AI RMF, and EU AI Act controls. - **Can we produce executive reports from the platform?** Yes. ZioSec produces CISO-ready risk posture reports. --- ## For Governance Teams **URL:** https://ziosec.com/governance-risk-compliance-teams ### The evidence layer your AI governance stack is missing. ZioSec is the evidence collection layer for the AI governance stack. We give compliance, policy, identity, and governance platforms continuous pentest findings from across the full agentic AI attack surface. #### Your governance stack has a blind spot. - **No agent-specific evidence:** Compliance and GRC platforms have no offensive evidence flowing in for AI agents. The control effectiveness story for agents is empty. - **Audit pressure rising:** Auditors are asking for evidence of agentic AI control testing. Most organizations cannot produce it. - **Regulatory exposure:** ISO 42001, EU AI Act, and NIST AI RMF all require demonstrated testing. Without evidence, you cannot demonstrate. #### What you get - **Continuous evidence stream:** Findings produced on an ongoing basis, not a once-a-year snapshot. - **Audit-ready artifacts:** Each finding mapped to OWASP LLM Top 10, MITRE ATLAS, ISO 42001, NIST AI RMF, and EU AI Act controls. - **Fleet-level risk posture:** Roll-up view across every agent in your organization. - **Integration with your existing stack:** Findings flow into your compliance, GRC, and trust management platforms via API. No new workflow to learn. #### FAQ - **How does the evidence integrate with our existing platform?** ZioSec provides an API that pushes structured evidence into your compliance, GRC, or trust management platform. No manual export required. - **What does a typical evidence packet look like?** Each evidence packet includes the finding description, severity rating, reproduction steps, framework mappings, remediation guidance, and timestamps. - **How often is the evidence refreshed?** You choose the cadence. Continuous, daily, weekly, or monthly testing schedules. - **How does this support an audit?** Every finding is timestamped, reproducible, and mapped to industry frameworks. --- ## AI Agent Pentesting-as-a-Service **URL:** https://ziosec.com/ai-agent-pentesting ### Find Out What Your AI Agents Are Really Capable Of Prompt injection, tool misuse, and agent-to-agent exploits don't show up in traditional pentests, leaving a growing attack surface invisible to your security program. This attack vector is too new and too nuanced to learn on the job. Your engineers may have taken a pass, but we've been doing this longer than anyone, and we built the platform that powers it. ZioSec partners with your team to surface the risks you're carrying today, with findings mapped to OWASP ASI, MITRE ATLAS, ISO 42001, and NIST AI RMF. #### Who this is for - **Enterprise security teams:** Running a one-time validation engagement before deploying agents to production. - **AI-native product companies:** Need third-party security evidence to unblock enterprise sales. - **Teams not ready for continuous:** Not yet ready for a continuous platform commitment. Start with a single engagement. #### Why Now: A New Attack Surface - **Agents Aren't Applications:** Traditional pentests cover endpoints, authentication, and business logic. AI agents introduce autonomous tool use, dynamic decision-making, and natural language interfaces that accept untrusted input. - **Standards Are Catching Up:** OWASP ASI, MITRE ATLAS, ISO 42001, and NIST AI RMF are defining how AI agent security should be measured. Cyber insurers are adding AI security riders. - **The Incidents Are Already Happening:** 88% of organizations reported AI security incidents this year. Prompt injection, tool misuse, data exfiltration, and privilege escalation are active attack vectors. Key statistics: - 48% of CISOs rank agentic AI as the #1 attack vector (Frontier Research) - 81% of orgs deploying AI, only 14% have security approval (Gravitee 2026) - 88% of organizations had AI security incidents this year (eSecurity Planet) #### What Every Engagement Delivers 1. **Attack Surface Analysis:** Millions of attack chain combinations across model, protocol, and tool layers. Full range of exploitable behaviors: data exfiltration, unauthorized actions, tool misuse, privilege escalation. 2. **Adversarial Validation:** Hands-on adversarial testing by security engineers, not automated scans. Custom threat models for your agent's architecture, tools, and data access. 3. **Framework-Mapped Reporting:** Every finding maps to OWASP ASI, MITRE ATLAS, ISO 42001, and NIST AI RMF. Formatted for GRC platforms like Drata and Vanta. Remediation guidance on 30/90/180-day timelines. Differentiators: - Millions of attack chain combinations generated across model, protocol, and tool layers - Scoped and delivered on your timeline, not ours - Your data never leaves your environment: on-prem relay architecture #### How an Engagement Works 1. **Scoping and Threat Modeling.** ZioSec security engineers consult with your team, onboard your AI agent, and construct a custom threat model. 2. **Adversarial Testing.** Engineers use the ZioSec platform to attack your agent continuously with tailored attack chains. 3. **Framework-Mapped Reporting.** Every finding maps to OWASP ASI, MITRE ATLAS, ISO 42001, and NIST AI RMF. 4. **Remediation Guidance.** Prioritized remediation with clear 30/90/180-day timelines. **Starting at $10,000** per engagement. 100% of your pentest fee can be applied as credit toward an annual platform subscription. #### FAQ - **Can our existing pentest vendor cover AI agents?** AI agent pentesting is a genuinely new discipline. Most security firms have not built deep expertise here yet. ZioSec has been pentesting AI agents since 2024. - **How is this different from a standard pentest?** Standard pentests focus on SQL injection, XSS, and network vulnerabilities. AI agent pentesting covers prompt injection, jailbreaks, tool misuse, data exfiltration through agent memory, privilege escalation via tool chains, and multi-turn manipulation attacks. - **What industries are deploying this?** Insurance, financial services, healthcare, government. Any organization deploying AI agents into workflows that touch sensitive data. - [Schedule a Pentest](https://ziosec.com/Demo?topic=pentest) - [Download Sample Report](https://ziosec.com/sample-report) --- ## Pricing **URL:** https://ziosec.com/pricing ### Pricing Scoped to Your Deployment ZioSec is an enterprise platform. Pricing is tailored to your organization, your agent fleet size, and how you deploy. No self-serve tiers. No published menus. A conversation. #### Enterprise Direct Work with the ZioSec team directly. Includes: - Scoped to your agent fleet size and compliance requirements - On-prem, cloud, or hybrid deployment options - SSO / SAML integration - Custom attack development - Jira, ServiceNow, and SIEM integrations - Dedicated customer success team - SLA-backed response times #### Channel Partners Deliver ZioSec through your existing platform or services practice. Includes: - White-label or co-branded deployment - ZioSec integrated into your platform as a security layer - Joint go-to-market support - Partner portal and enablement resources - Revenue share model - Technical integration support #### What Every Engagement Includes - Full adversarial testing platform - Auto Policy: bespoke policies per agent - Secure deployment with Docker sidecar - Real-time policy enforcement - Agent inventory and governance dashboard - Remediation guidance with every finding - MITRE ATLAS and OWASP mapping - Compliance evidence export - Dedicated onboarding --- ## About ZioSec **URL:** https://ziosec.com/about We're a team of security experts dedicated to making AI agents safe and secure. Our mission is to provide enterprises with the tools they need to verify the safety of their AI systems through continuous offensive security testing. ### Leadership Team - **Aaron Walls,** Co-Founder & CEO. Deep history building and leading tech companies. Techstars and Cornell alumnus. - **Andrius Useckas,** Co-Founder & CTO. Over 25 years of experience as a pentester. Founded and scaled multiple cybersecurity companies. - **Alex Gatz,** Staff Security Architect. Seasoned cybersecurity researcher and engineer with history building enterprise cybersecurity products. - **Javier Rivera,** Principal Security Researcher. Spent the first 10 years of his cybersecurity career at MITRE researching exploits. - **Nolan Braman,** Senior FS Development. Front-end engineer who has designed and shipped high-scale React and TypeScript platforms. ### Mission AI agents are transforming how businesses operate, but they also introduce new security risks that traditional tools can't address. At ZioSec, we believe that security should not be an afterthought. It should be continuous, automated, and built into the development process. Our platform empowers security teams to stay ahead of threats while enabling developers to build secure AI agents from the ground up. Because when it comes to AI security, we do not trust. We verify. ### Values - **Security First:** Every decision we make prioritizes the security and safety of AI systems. - **Continuous Innovation:** We constantly evolve our platform to address emerging AI security threats. - **Customer Success:** Our success is measured by how well we protect and empower our customers. ### FAQ - **Where is ZioSec based?** Boulder, Colorado with a fully remote team. - **Is ZioSec venture-backed?** Yes. Featured on This Week in Startups (E2125). - **What makes ZioSec's team qualified?** RSA Conference speakers, patent holders, published security researchers, and engineers with decades of combined experience. --- ## Contact **URL:** https://ziosec.com/contact - **Email:** info@ziosec.com - **Phone:** 720-807-2737 - **Address:** 2000 Central Ave, #150, Boulder, CO 80301 [Book a Demo](https://ziosec.com/demo) --- ## Partners **URL:** https://ziosec.com/partners ZioSec data flows into identity, GRC, compliance, and trust platforms via API. We work with managed service and advisory firms running agentic risk assessments, and we co-deliver with AI-native product companies who need third-party validation. #### Platform integrations ZioSec pushes findings into identity, GRC, compliance, and trust platforms via API. Example integration targets: Okta, SailPoint, OneTrust, Protiviti, Drata, Vanta, ServiceNow GRC, Archer, LogicGate. #### Service partners Managed service and advisory firms running agentic risk assessments use ZioSec as the offensive testing engine behind their practice. We provide the tooling and the findings; you deliver the engagement. #### Co-sell AI-native product companies needing third-party security validation to close enterprise deals. ZioSec provides independent adversarial testing and can join your sales calls to walk security teams through findings. --- ## Framework Coverage All findings are mapped to: - **OWASP ASI** (Agentic Security Initiative) - **MITRE ATLAS** (Adversarial Threat Landscape for AI Systems) - **ISO 42001** (AI Management System) - **NIST AI RMF** (AI Risk Management Framework) - **EU AI Act** (European Union AI regulation) --- ## Links - Website: https://ziosec.com - X/Twitter: https://x.com/ZioSec - LinkedIn: https://www.linkedin.com/company/ziosec - YouTube: https://www.youtube.com/@ziosec - Discord: https://discord.gg/pBcgW9V7gr