INTERVIEW Built for speed, designed for trust BY LAURA HYDE Armor Defense’s Brady Willis explains how the company’s new AI-powered platform accelerates threat detection with complete transparency and explainability Working in the field of security requires transparency. That’s why black-box models can make security professionals more anxious or sceptical, rather than feeling safer or more confident. “We set out to build something different,” says Brady Willis, vice president of security operations at Armor Defense. “We developed the Armor Intelligence Platform (AIP) to deliver better outcomes with greater visibility, speed and precision.” Armor is using agentic AI to help organisations – from fast-growing start-ups to large enterprises – protect their mission-critical workloads and detect the most sophisticated threats. “Security teams are overwhelmed,” says Willis. “Too many alerts. Not enough people. And constant pressure to respond faster without missing something critical. Basic automation helps, but it often lacks the context or judgment to make smart decisions. “We designed AIP to mimic how experienced analysts think. Instead of relying on a single model, AIP is made up of modular, goal-driven agents. Each one handles a specific part of the investigation process, much like a team of specialists working together.” AIP has cut investigation time from 15 minutes to just 40 seconds, without compromising clarity. Each decision made by AIP includes a traceable path, so analysts and customers can see exactly how and why it was made. “Customers want to know why a domain was flagged or dismissed,” says Willis. “With AIP, we make decisions faster and give our customers a built-in, auditable reference of agentic AI findings and recommended actions.” AIP does not sideline analysts. It gives them high-confidence, context-aware insights so they can make faster, smarter decisions. “AIP provides less noise and fewer escalations so analysts can make better use of their time,” adds Willis. What is malicious in one environment might be perfectly normal in another, which is why AIP agents are trained with threat-specific logic and environmental context. It is not just about what a threat is – it’s about where it’s happening and why it matters. “We’re continuing to expand AIP with improvements to signal correlation, intelligent escalations, and cross-environment insight,” says Willis. “But the core values remain the same – speed, transparency and customer control.” 62 “ With AIP, we make decisions faster and give our customers a built-in, auditable reference of agentic AI findings and recommended actions.”
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