Human-in-the-Loop AI Pentesting

AI is dramatically transforming pentesting, but human pentesters will always play a role. There are several ways that humans and AI can work together to conduct penetration tests, one of which is human-in-the-loop AI pentesting (or HITL). In this method, AI takes some of the more arduous or mundane pentesting tasks off human pentesters’ plates, but the humans need to confirm whether the test moves forward at each step.

Key takeaways

• Humans will always play a role in pentesting due to their understanding of business logic and context and their ability to use their creativity and experience to identify complex attack chains.
• There are several ways to combine the strengths of AI and humans in pentesting, including human-in-the-loop AI pentesting, hybrid AI pentesting, and AI-driven pentesting with human oversight.
• Human-in-the-loop pentesting, or HIL security testing, involves the most human input, with checks and approvals needed by human pentesters at each step of testing.
• XBOW is revolutionizing pentesting with its powerful AI-driven pentesting with human oversight..

What is AI pentesting?

Pentesting (or penetration testing), one of the most long-standing and trusted security testing methods, traditionally relied on human pentesters to act as “ethical hackers” and attempt to breach a computer system in order to assess possible weaknesses or points of entry. Although highly effective and thorough, traditional pen testing is time-consuming and expensive, often taking months and costing in the realm of $30K.

AI is transforming the traditional pentest, making it faster, more efficient, and less expensive. From discovery to testing to reporting, AI is bringing the speed up and the cost down. AI pentesting follows similar steps to traditional pentesting, but AI is infused throughout. For the foreseeable future, humans will play a role in pentesting. There are simply skills, expertise, background, and nuance that AI is not likely to replace.

What is human-in-the-loop AI pentesting?

Human-in-the-loop pentesting is a form of penetration testing that leverages AI but also keeps human pentesters involved and active at each stage. Although many tasks are automated by AI, humans play a supervisory and validation role at set intervals throughout the process.

Here’s a high-level view of what this AI-assisted human verification looks like in practice:

• Discovery stage: An AI agent scans the attack surface and identifies potential vulnerabilities like open ports or misconfigurations. A human pentester then steps in to review the findings and ensure they are legitimate issues and within scope of the test.
• Testing stage: After discovering potential attack paths and generating exploits, the AI hands the reins over to a human pentester. The pentester will review the possible exploits to ensure their validity and safety before letting the AI proceed.
• Reporting stage: The AI drafts the final pentesting report, and the human pentester reviews and revises it. The human pentester also typically adds in remediation guidance.

Benefits of human-in-the-loop AI pentesting

There some benefits of having a human in the loop, especially when the human is a seasoned pentester. They can provide:

• More control: With the right prompts, AI can take direction very well, but in some cases you may want to provide person to person instruction.
• Ensures scope: There is little chance of the AI straying outside the defined scope of the test with human intervention at each step.
• Business context added: With the heavy human involvement in HITL testing, it’s easier to add business context and complex attack chains to testing.

Shortcomings of human-in-the-loop AI pentesting

There are human + AI pentesting methods that have advantages over HITL testing, specifically because HITL is:

• Slower: Adding human checks to each step slows the process dramatically.
• More costly: More human involvement will always be more costly and time-consuming.

As AI continues to advance, keeping a human in the loop becomes increasingly unnecessary—and can even turn into a liability. When AI-driven attackers aren’t pausing for human review at each step, organizations that still rely on manual checkpoints will struggle to keep pace.

Additional AI + human cybersecurity models

There are several ways the human + AI partnership can work in penetration testing. Beyond human-in-the-loop, hybrid AI pentesting and AI-driven pentesting with human oversight are additional models.

Hybrid AI pentesting

The hybrid AI pentest model is similar to human-in-the-loop, but the human pentesters don’t have set roles at each stage. Instead, they work alongside the AI throughout the pentest process.

For example, while in the human-in-the-loop model, the AI will only commence testing after human approval, in hybrid AI pentest workflows, the AI tests on its own, and the human pentesters review the results after the fact.

AI-driven pentesting with human oversight

This model involves the AI agents working autonomously and continuously, with human pentesters helping with scoping and guardrails, reviewing results, only stepping in if needed, and attending to the more complex edge cases.

This approach requires a high level of trust in the AI, and requires AI agents capable of operating with this type of freedom. XBOW’s autonomous offensive security solution, for example, works within this model. The human pentesters are able to work with XBOW in this way because they can trust it. That trust stems in part from guardrails set up around the testing, and also a fleet of validator AI agents that ensure that results are accurate before reporting them.

Experience AI pentesting that exceeded the abilities of human testers on HackerOne

AI + human pentesting has entered a new phase with XBOW. Its autonomous offensive security solution recently exceeded the abilities of human pentesters to top the HackerOne leaderboard. Human pentesters are still critical, but they trust XBOW to work autonomously with a high level of accuracy and only intervene when needed.

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This post is part of the XBOW Offensive Security Academy, an educational blog series that discusses and explores offensive security tactics and techniques in the age of AI.