AI agents have traditionally faced three core limitations: they can’t retain learned information or operate autonomously beyond short periods, and they require constant supervision. AWS addresses these limitations with frontier agents—a new category of AI that performs complex reasoning, multi-step planning, and autonomous execution for hours or days. Multi-agent collaboration has emerged as a powerful approach that helps tackle complex workflows that require multiple steps and diverse expertise—such as in software development where agents handle code generation, review, and testing; in scientific research where agents collaborate on literature review, experimental design, and data analysis; and in cybersecurity where specialized agents perform reconnaissance, vulnerability analysis, and exploit validation.
In this post, we discuss how we’ve used this technology to deliver automated penetration testing, something that can traditionally take weeks and is…
