---
title: AI Agent Penetration Testing as a Service, starting at $10K
description: Expert-led AI agent penetration testing as a service. Findings mapped to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, and EU AI Act. Engagements start at $10,000 with 100% credit toward platform subscription.
url: https://ziosec.com/ai-agent-pentesting
---

# AI Agent Penetration Testing by Security Experts

AI Agent Pentesting-as-a-Service.

Prompt injection, tool misuse, and agent-to-agent exploits do not 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 have been doing this longer than anyone, and we built the platform that powers it. ZioSec partners with your team to surface the risks you are carrying today, with findings mapped to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, and the EU AI Act.

- Schedule a pentest: https://ziosec.com/demo?topic=pentest
- Download a sample report: https://ziosec.com/sample-report

## 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 your security program does not cover yet

- **Agents are not applications.** Traditional application pentests cover endpoints, authentication, and business logic. AI agents introduce a different class of exposure: autonomous tool use, dynamic decision-making, and natural language interfaces that accept untrusted input. Your existing pentest methodology was not built for this.
- **Standards are catching up.** OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, and the EU AI Act define 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.

Market signals:

- **48%** of CISOs rank agentic AI as the #1 attack vector (Frontier Research)
- **81%** of organizations deploying AI; only 14% have security approval (Gravitee 2026)
- **88%** of organizations had AI security incidents this year (eSecurity Planet)

## What every AI Agent Pentest engagement delivers

- **Attack Surface Analysis.** ZioSec generates millions of attack chain combinations across model, protocol, and tool layers to expose data exfiltration, unauthorized actions, tool misuse, and privilege escalation. A complete picture of your agent's actual attack surface, not assumptions.
- **Adversarial Validation.** Hands-on adversarial testing by security engineers, not an automated scan. Custom threat models tailored to your agent's architecture, tools, and data access, then goal-based attack paths to validate what an attacker can actually achieve.
- **Framework-Mapped Reporting.** Every finding maps to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, and EU AI Act. Deliverables formatted for GRC platforms like Drata and Vanta. Documented evidence with 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 AI Agent Pentest engagement works

1. **Scoping and Threat Modeling.** ZioSec security engineers consult with your team, onboard your AI agent, and construct a custom threat model tailored to your agent's architecture, tool access, and data flows.
2. **Adversarial Testing.** Our engineers use the ZioSec platform to attack your agent continuously, generating attack chains tailored to your agent's unique architecture, tools, and data flows.
3. **Framework-Mapped Reporting.** Every finding maps to OWASP AISVS, MITRE ATLAS, ISO 42001, NIST AI RMF, and EU AI Act. Deliverables are formatted as evidence for GRC and compliance platforms.
4. **Remediation Guidance.** Prioritized remediation guidance delivered directly to your engineering team with 30/90/180-day timelines.

### Pricing

AI agent pentests start at $10,000 per engagement. 100% of your pentest fee can be applied as credit toward an annual platform subscription, so if you decide to move to continuous testing, you have already paid the first installment.

### From one-time to continuous

A single pentest gives you a point-in-time assessment. Subscribe to the ZioSec platform for continuous adversarial testing, real-time monitoring, and automated compliance evidence as your agents evolve. Learn more at https://ziosec.com/enterprise-red-teams.

## Framework mapping

Every finding maps to the five frameworks your compliance team reports against. Full per-control coverage: https://ziosec.com/ai-compliance.

A single prompt injection finding maps to EU AI Act Art. 15, NIST MS-2.6, ISO 42001 A.6.2.4, AIUC-1 B.2, and OWASP AISVS C02, with documented evidence and remediation guidance attached.

## Deliverables

Every engagement produces a structured assessment with:

- Executive Summary
- Detailed Findings (typical: 14 vulnerabilities, 3 Critical, 4 High, 5 Medium, 2 Low)
- Framework Compliance Mapping
- OWASP AISVS and MITRE ATLAS Alignment
- Compliance Gap Analysis
- Remediation Roadmap (30/90/180-day)

Sample finding format:

> **Prompt Injection via Tool Parameters (Critical).** Tags: OWASP AISVS C02, MITRE ATLAS AML.T0051, NIST AI RMF MAP 3.3, ISO 42001 A.5. The agent's tool-calling interface accepts user-controlled input without sanitization, allowing an attacker to inject commands that execute with the agent's full permissions, including access to internal claims data. Remediation: Immediate (30-day) input validation on all tool parameters; Short-term (90-day) tool-level permission scoping; Long-term (180-day) runtime monitoring with policy enforcement.

Download a real sample report: https://ziosec.com/sample-report.

## FAQ

**Can our existing pentest vendor cover AI agents?**

AI agent pentesting is a genuinely new discipline. Prompt injection, tool-chain exploitation, agent memory manipulation, and MCP/A2A protocol vulnerabilities are attack classes only a couple of years old. ZioSec has been pentesting AI agents since 2024.

**We will security test once our AI agents are more mature.**

Vulnerabilities compound over time. An AI agent deployed without security testing exposes your organization to data exfiltration, unauthorized actions, and compliance gaps from day one. 48% of CISOs rank agentic AI as their top attack vector concern in 2026.

**We do internal red teaming.**

Internal testing is valuable but insufficient. Internal teams rarely have the specialized tooling for AI-specific attacks, and auditors and cyber insurers require independent third-party validation. Internal self-assessment does not satisfy OWASP AISVS, MITRE ATLAS, ISO 42001, or NIST AI RMF evidence requirements.

**How is this different from a standard pentest?**

Standard pentests focus on SQL injection, XSS, misconfigurations, and network vulnerabilities. AI agent pentesting covers prompt injection, jailbreaks, tool misuse, data exfiltration through agent memory, privilege escalation via tool chains, context poisoning, and multi-turn manipulation attacks. Every finding maps to AI-specific frameworks.

**What industries are deploying this?**

Insurance companies testing claims processing and underwriting agents. Financial services firms securing internal AI workflows. Healthcare organizations validating clinical decision support agents. Government agencies meeting NIST AI RMF requirements.

**How long does an engagement take?**

Timelines depend on scope, complexity, and number of agents being tested. ZioSec scopes every engagement during the initial consultation.

## The standards are here. The expertise is rare.

OWASP AISVS and MITRE ATLAS define the attack taxonomy. ISO 42001, NIST AI RMF, and the EU AI Act define the governance controls. Cyber insurers are introducing AI security riders. Your board is asking about AI governance. AI agent pentesting is the evidence they need, and the expertise to do it right is scarce.

## Contact

- Email: info@ziosec.com
- Phone: +1-720-807-2737
- Schedule a pentest: https://ziosec.com/demo?topic=pentest
- Talk to our team: https://ziosec.com/contact