AI Systems Red Team Certification

The AI Systems Red Team Professional (AISRTP) is a hands-on AI Systems red team certification, earned through the AI Systems Attack and Defense bootcamp, an on-demand Pwned Labs program that goes deep on modern attack chains and the detections that catch them, then certifies you hands-on.

AI systems are a new and fast-moving attack surface, which is exactly why attackers are drawn to them. LLM applications, RAG pipelines, and agentic systems behave unlike traditional apps, and the trust boundary moves in ways defenders rarely model, so injection and excessive-agency paths go unnoticed. An AI red team certification should prove you can find and exploit them in a live environment. The AI Systems Red Team Professional (AISRTP) is built to do that, hands-on.

What the AISRTP certification proves

AISRTP is a practical AI and agentic red team certification. There is no multiple choice section. You are assessed inside a live environment of LLM-backed and agentic applications with realistic weaknesses and telemetry, and you have to reach the objective through a working exploitation chain across direct or indirect prompt injection, RAG or tool abuse, and excessive agency in connected systems. Passing means you demonstrated real tradecraft against real AI infrastructure, which is a credential an employer can trust.

Who this certification is for

AISRTP fits application security engineers, penetration testers, and red teamers moving into AI, and the developers and detection engineers who build and defend LLM-backed features. You do not need prior AI security experience. The AI Systems Attack and Defense bootcamp that leads into AISRTP starts from how these systems are built and where they break, then progresses into prompt injection, RAG poisoning, and agentic and MCP attack paths, so a strong general security background is enough to start.

What you learn on the path to AISRTP

The curriculum tracks how AI and agentic systems are actually compromised rather than listing model features. Core areas include:

• Direct and indirect prompt injection in shipped LLM applications, including turning retrieved or user-supplied content into attacker-controlled instructions.
• Poisoning retrieval-augmented generation across documents, tickets, wikis, and embedding stores, and making retrieval attacks reliable.
• Finding tool-abuse and excessive-agency paths in agentic systems, and tracing compromise across CI/CD agents and MCP-connected tool servers.
• Detecting AI attacks in telemetry: prompts, tool calls, retrieval hits, and side effects.
• Applying the same tradecraft across AWS Bedrock, Azure AI Foundry, Google Vertex AI, and self-hosted stacks.

Because the labs run against realistic LLM-backed and agentic applications, you build the blue team awareness that distinguishes an AI red teamer from someone who only ran a script.

AISRTP compared to other AI security training

Most AI security training is conceptual or governance-focused. It explains model risks and responsible-AI principles, which is valuable for policy and design, but it does not ask you to attack a running system. Broad application security certifications prove general skill while covering little of the prompt injection, retrieval, and agentic abuse that defines AI compromise. AISRTP fills that gap with a fully hands-on, offense-focused assessment against live AI and agentic systems.

How the AISRTP exam works

The certification is assessed in a live environment of AI and agentic applications, not a simulation. You are given objectives and a time window and must accomplish them with real tradecraft against real systems that are logging your activity. There is no memorization component. You reach the objectives or you do not, which makes the credential difficult to fake and easy for an employer to verify.

Inside the AISRTP exam environment

The exam is a single realistic scenario, not a question bank. You get 24 hours and an entry point into a live set of LLM-backed and agentic applications, then build a complete exploitation chain from that foothold to the flag. The applications, the weaknesses, and the telemetry are all real.

It is self-contained and unproctored, so there is nothing external to bring and no screen recording. Because it is a chain rather than isolated tasks, partial knowledge shows, and there is no pentest report to write. You capture the flag or you do not, which makes the credential easy for a hiring manager to read.

Preparing for the AISRTP exam

You do not need prior AI security experience to start. What you do need is comfort with HTTP, reading JSON, and the command line, and a general security foundation. Familiarity with Python or curl helps, but the bootcamp opens with how LLM-backed and agentic systems are built before moving into the advanced material, so the ramp is built into the path.