Agentic AI Pentesting
Validate real exploit paths with controlled, AI-driven reasoning. ZeroThreat’s Agentic AI goes beyond automated scans to intelligently explore complex application behavior, adapt attack paths in real time, and prove exploitability - all within user-defined boundaries and enterprise-grade controls.
- Adaptive attack-path reasoning
- Proof-based exploit validation
ZeroThreat’s Agentic AI Pentesting Architecture
Agentic AI Pentesting for Controlled, Real-World Validation
ZeroThreat’s Agentic AI Pentesting executes controlled, staging-only attack workflows to validate real, exploitable vulnerabilities. It dynamically adapts to application behavior, combining autonomous reasoning with explicit user guidance to eliminate false positives and surface only proven risks.
Agentic AI findings are reusable, auditable, and governance-ready—designed for enterprises that require depth without production risk or uncontrolled AI execution.
- Controlled execution in staging environments
- AI reasoning guided by user-defined prompts and boundaries
- Proof-based, reproducible exploit validation
- Audit-ready outcomes with built-in governance
- Bounded execution — no autonomous or uncontrolled attack loops
Who This Is For
AppSec Teams
Logic & workflow abuse
Security Leaders
Signal over noise
Engineering Teams
Less manual effort
MSSPs
Scalable AI-driven testing
Enterprises
Governed AI adoption
How Agentic AI Differs from Automated Pentesting
Automated pentesting executes predefined workflows at scale. Agentic AI dynamically reasons about application behavior, adapts attack paths mid-execution, and sequences tests based on live context—while remaining fully governed and user-controlled.
How ZeroThreat Agentic AI Penetration Testing Stands Apart
Built for Controlled Adoption
Unlike other fully autonomous or black-box AI pentesting tools, ZeroThreat is designed for controlled adoption. It emphasizes scope control, safety boundaries, and reproducible evidence rather than unchecked AI autonomy.
Governance-First Design
Customers supply their own AI model API keys. ZeroThreat’s agentic AI operates within defined execution limits. It produces audit-ready findings that security teams can trust, review, and reproduce without introducing operational or compliance risk.
Proof-based Exploit Validation
ZeroThreat goes beyond detecting vulnerabilities with agentic AI. It reports findings only after confirming they can be reliably exploited and reproduced, ensuring security teams focus on validated risk rather than noisy alerts.
Customer-Owned AI Cost & Policy Control
ZeroThreat requires customers to bring their own AI model API keys. There is no AI resale or markup. This ensures full transparency over token usage, costs, and alignment with internal AI governance policies.
Safe Testing in Staging Environments
Security shouldn't break your business. ZeroThreat runs agentic AI testing in staging and development environments, enforcing strict execution boundaries to validate real attack scenarios safely—without risking production systems or impacting real users.
Coverage for Emerging Vulnerabilities
ZeroThreat supports Burp and Nuclei attack templates, enabling immediate coverage for newly discovered vulnerabilities. As the security community releases new templates, emerging vulnerabilities are covered without waiting for scanner updates or manual rule creation.
Experience Agentic AI Security with Full Control
Adopt Agentic AI pentesting with built-in governance, scoped execution, and reproducible evidence.
When Agentic AI Pentesting Is Activated
Agentic AI is activated when automated findings require deeper reasoning. It extends automated coverage by validating logic-level and chained exploit paths that only emerge during real application behavior.
It enables:
- Intelligent exploration of complex user journeys
- Adaptive reasoning based on live application behavior
- Proof-driven validation of real exploit paths
Why Teams Choose ZeroThreat for Agentic AI Security
Designed for Enterprise Trust
From execution boundaries to cost transparency, ZeroThreat’s agentic AI security is built for organizations that require safety, accountability, and operational confidence in automated pentesting.
Smart Tool Orchestration
By combining Agentic AI Pentesting with widely adopted attack templates from Burp and Nuclei, ZeroThreat delivers in-depth security testing without replacing or disrupting existing scanning approaches.
Model-Agnostic AI Flexibility
With ZeroThreat’s agentic AI, teams can leverage multiple LLMs (such as ChatGPT, Gemini, Grok, Claude) without being locked into a single provider. This preserves flexibility and helps future-proof enterprise AI strategies.
Unified Intelligence Layer
ZeroThreat acts as a centralized control plane between targets, scanners, and AI models, ensuring that testing logic, decisions, and outputs remain consistent, auditable, and governed.
Professional-Grade Testing
ZeroThreat delivers the depth of established tools like Burp and Nuclei through a unified, guided experience—eliminating setup overhead while maintaining industry-grade testing rigor.
Frequently Asked Questions
Is Agentic AI Pentesting fully autonomous?
No. ZeroThreat’s Agentic AI is not an autonomous attack system.
It operates within user-defined scope, boundaries, and guardrails, with AI assisting reasoning while execution and validation remain controlled and observable.
Does Agentic AI Pentesting replace automated pentesting?
Does Agentic AI interact directly with production applications?
Who controls the AI models used in Agentic AI Pentesting?
How does ZeroThreat ensure findings are accurate and reproducible?
Is Agentic AI Pentesting suitable for enterprise and MSSP environments?
Validate Real Exploits — Free to Start
Run agentic AI pentesting with proof-based results and full control.