Armadin, an AI-native cybersecurity company, and TENEX.ai, a fully-agentic, human-led security operations provider, described a joint engagement to test a safe real-world global attack for a leading global institution.
Armadin’s autonomous, agentic attacker executed a safe AI attack across the entire external perimeter, internal network, and web applications. TENEX.ai’s agentic platform and SOC ingested, triaged, and responded to the resulting telemetry in real time.
Over the course of the three day attack, Armadin’s swarm generated 17 million offensive actions, discovering 38 validated attack paths and producing 238 security findings. TENEX.ai’s agentic Security Operations platform separately triaged 100% of 101,169 alerts and reconstructed the entire attack across 231 billion raw events – a forensic effort that would have taken a five-person team approximately 2,400 hours or four months of manual analyst work.
This engagement reflects standing operating practice for both Armadin and TENEX.ai, not an isolated proof of concept. Armadin runs Hyperattacks against live environments continuously to help customers close their security gap before adversaries discover it. TENEX.ai runs fully-agentic, human-led continuous detection and response for every customer on the same operating cadence. This engagement demonstrates, under live conditions, what happens when both operating models run against each other at AI scale and speed rather than in isolation.
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Why This Matters
Defenders historically relied on incomplete point-in-time assessments and signature-based scanners to discover their security gap. As AI accelerates the pace of digital change and attackers leverage agentic AI to conduct sophisticated machine-speed attacks, security programs must move towards effective autonomous security: AI-powered offense training AI-driven defense.
Armadin’s platform safely delivers the most comprehensive and powerful AI attacks to identify new and novel attack paths before adversaries can exploit them and train an organization’s defenses at machine speed.
TENEX.ai’s platform is built on continuous detection, triage, and investigation – matching that tempo on the defensive side. This engagement shows what happens when both capabilities run concurrently against a live enterprise environment, rather than sequentially or in isolation and what it exposes about the gap between having detection tooling and having detection coverage.
AI is a step-change in adversary capability that every defender must prepare for. Every organization needs to build a security program focused on effective autonomous security: red AI training blue AI. The scale, speed, and sophistication of Armadin’s Ultimate Attacker creates an adversarial loop that compounds faster than human defense, helping organizations close their security gap before attackers exploit it. The organizations that mobilize first will build the institutional muscle memory that compounds over time. The ones that wait will find out what unmanaged exposure costs. Kevin Mandia, Chief Executive Officer, Armadin.
Every organization needs to prepare for the AI threat. The security gap is widening as AI accelerates digital change and democratizes advanced offensive cyber capability. The industry just watched what happens when a capable, autonomous system has nothing enforcing what it is allowed to do. We built Armadin to provide effective autonomous security with the world’s most sophisticated offensive AI capability governed by a control system to ensure alignment to train machine-speed defense. Every organization needs safe Hyperattacks to discover their gap before attackers do. Travis Lanham, Chief Technology Officer, Armadin.
Watching an agentic adversary operate against a live enterprise is very different from reading a red team report after. During this engagement, our AI agents and analysts investigated activity at a scale most SOC teams were never built to respond to or even detect. This isn’t a preview of where cybersecurity is headed – it’s the environment organizations are operating in today.”
Eric Foster, Chief Executive Officer, Tenex.
“Machine-speed attacks cannot be answered with human-speed workflows. In this exercise, TENEX’s AI agents traced attacker activity across billions of events, connected the pivots, and assembled the evidence. Human analysts directed the investigation and governed every escalation. That is the operating model we built: AI working at machine speed, with humans accountable for outcomes.” Venkata Koppaka, Co-Founder and Chief Technology Officer.
SOURCE: PRNewswire