Human-led penetration testing is too narrow and slow. Only AI agents can give you the scale and speed of 1,000 virtual pentesters collaborating on a single mission. In this episode of “Kill Chains and Coffee,” host Greg Heon and Armadin Principal Red Team Operator Craig Wright go in depth on a recent kill chain that targeted a large telco provider. The results revealed the widening gap between legacy pentesting and using Armadin’s AI attacker as an offensive security tool. The managed assessment covered 22,749 internet-facing services, with 175 services selected through intelligent targeting. The attack included thousands of AI agents taking 220,479 actions and finding exploitable risk that might have been hiding for decades. The kill chain sequence began with an AI agent identifying a hidden registration endpoint using route name inference. It self-registered an account, then found a second registration mechanism and used the new account to generate an authorization token before pivoting to authenticated testing. It then identified three endpoints and produced working SQL injection payloads, eventually accessing five additional internal SQL servers. The kill chain exposed 68.5 million rows of critical data, including workforce Personally Identifiable Information (PII), 911 call geolocation data, and enough SIM swap precursor data to fuel a social engineering campaign and execute a full SIM swap. The key lesson is you can’t expect an 80-hour human-led pentest to address thousands of internet-facing services, but an agentic AI approach can easily cover the entire attack surface—all paths, all the time. For security teams: Armadin’s AI Hyperattacks safely deliver the machine speed and scale to help you identify critical exploitable risk across your entire environment. Learn how at http://hyperattack.AI.
Human-led penetration testing is too narrow and slow. Only AI agents can give you the scale and speed of 1,000 virtual pentesters collaborating on a single mission.
In this episode of “Kill Chains and Coffee,” host Greg Heon and Armadin Principal Red Team Operator Craig Wright go in depth on a recent kill chain that targeted a large telco provider. The results revealed the widening gap between legacy pentesting and using Armadin’s AI attacker as an offensive security tool.
The managed assessment covered 22,749 internet-facing services, with 175 services selected through intelligent targeting. The attack included thousands of AI agents taking 220,479 actions and finding exploitable risk that might have been hiding for decades.
The kill chain sequence began with an AI agent identifying a hidden registration endpoint using route name inference. It self-registered an account, then found a second registration mechanism and used the new account to generate an authorization token before pivoting to authenticated testing. It then identified three endpoints and produced working SQL injection payloads, eventually accessing five additional internal SQL servers.
The kill chain exposed 68.5 million rows of critical data, including workforce Personally Identifiable Information (PII), 911 call geolocation data, and enough SIM swap precursor data to fuel a social engineering campaign and execute a full SIM swap.
The key lesson is you can’t expect an 80-hour human-led pentest to address thousands of internet-facing services, but an agentic AI approach can easily cover the entire attack surface—all paths, all the time.
For security teams: Armadin’s AI Hyperattacks safely deliver the machine speed and scale to help you identify critical exploitable risk across your entire environment.
Learn how at http://hyperattack.AI.
RESOURCES
Companion Blog Post: www.armadin.com/blog-posts/kill-chains-and-coffee-episode-5-why-ai-beats-human-pentesting
Armadin Offensive Security Platform: https://armadin.com/platform
Request a Demo: https://www.armadin.com/request-a-demo
CONNECT WITH ARMADIN
Website: https://armadin.com
LinkedIn: https://www.linkedin.com/company/armadin
Twitter/X: https://x.com/armadinsecurity