Outpost24 has launched AI Pentesting, a expert-led adversarial testing service designed to help mid-to-large enterprises identify and fix security weaknesses in AI-powered systems before attackers or autonomous AI models can exploit them.

Regulatory and standards momentum is driving demand, with the EU AI Act moving into its 2026 implementation phase and frameworks like NIST AI Risk Management Framework raising expectations for AI security due diligence.

Engagements begin with system discovery and mapping, move through adversarial testing and access-context validation, and finish with analysis and audit-ready reporting.

AI Pentesting covers the full AI attack surface — including the model and prompt layer, RAG pipelines, agent workflows, and related APIs — using a human-validated methodology that simulates real adversarial conditions.

The OWASP Top 10 for LLM Applications formalizes AI-specific attack vectors, such as prompt injection and data leakage, highlighting blind spots for traditional security tools.

Deliverables provide actionable findings ranked by severity with remediation guidance tailored to AI and LLM architectures, delivered via Outpost24’s platform alongside broader security testing capabilities.

Unlike automated scanners, the service emphasizes creative adversarial thinking and AI-specific scenarios guided by OSAI+ and the Outpost24 Threat Intelligence Team.

Company executives underscore the rising AI security risk as organizations embed AI into customer journeys and internal workflows, stressing the need for adversarial testing and robust access controls.

The service extends Outpost24’s existing penetration testing practice by leveraging CREST-certified expertise and following OffSec’s AI-300 Advanced AI Red Teaming methodology.