Skyhawk's AI Attack Simulation took over an AWS Organization, in Seconds
Skyhawk's Agentic AI Red Team took complete control of a customer's AWS Organization in seconds, with no misconfigurations, no frontier models, and no warning.
The Core Problem
Agentic AI Attackers Don't Follow the Graph.
Are your defenses built for a threat that rewrites the rules in real time?
Conventional security tools scan and score a static graph of your environment. They stop at theoretical exposure, flagging what exists, not what is possible. An autonomous AI attacker operates differently. It does not walk the attack graph. It changes it, dynamically manipulating roles, permissions, and configurations in real time, exactly the way a skilled human adversary would. The result is a breach path that no static tool ever saw coming.
The Current Situation
They did everything right.
The company followed cloud best practices. Top-ranked tooling. No vulnerabilities. No policy violations. Every role, every trust relationship was intentional, reviewed, and entirely valid.
That’s exactly what made it so dangerous.
Skyhawk’s Agentic AI Red Team didn’t exploit what was broken. It chained together legitimate roles and permissions in a sequence no static tool was built to detect, achieving complete AWS Organization takeover. Their team was in shock. They had done everything right.
The gap in your cloud isn’t what’s misconfigured. It’s what’s permitted
Best-in-class tooling
A leading CNAPP was already deployed and integrated across the entire AWS organization.
No misconfigurations
The attack chained legitimate, sanctioned configurations — nothing a static scan flags.
Invisible to static analysis
Theoretical exposure has a ceiling. The real attack path lived beyond it.
From a low privilege to organization admin in seconds
Skyhawk’s AI Attack Simulation is able to identify the legitimate roles, assets, and permissions that can be dynamically manipulated to get full access of the AWS organization. There was no warning, alert, or detection that anything like this catastrophic would ever be possible in this company’s cloud, but it was.
Skyhawk's AI Red Team
Skyhawk's Dynamic Simulation is built to stop what your CNAPP can't see.
Skyhawk builds a live digital model of your entire cloud estate and plays out real attacks against it — proving the paths to your crown jewels before an attacker does, with production-safe validation.
The AI Red Team
Runs continuously against a digital model of your cloud, executing intelligent attack simulations that mirror real agentic threat actors — not generic templates or periodic pen tests.
- Customer-specific simulations built on your architecture
- Chains low-severity exposures into high-impact paths
- Assumes an adversary operating at agentic AI speed
Non-Disruptive Continuous Simulation
A live digital model of your cloud — updated in real time as IAM roles, security groups, and workloads change — gives the AI Red Team a safe, accurate environment to simulate adversarial behavior without touching production.
- Always-current twin of your live cloud
- Every change re-evaluates the attack surface
- Safe simulation, zero production impact
Business-Value Driven Prioritization
Every exposure, identity risk, and simulated attack path is weighted by the business value of the asset at risk — not flat CVSS scores. One ranked picture of what matters most to the business.
- Business-weighted risk on every finding
- Blast radius mapped to business impact
- Achieve true cloud risk reduction
Read the Press Release
See the announcement of Skyhawk’s AI Red Team AWS Organization takeover.
Learn more from the Blog
Go deeper into how agentic AI rewrites attack paths in real time.
See it live
Are you ready for AI-driven attacks?
Book a 20-minute walkthrough. We will run the same agentic AWS takeover scenario against a sandbox and show you the detection, blast radius, and auto-response in real time.