agentic architecture

In our previous blog post, we introduced Red Sift’s AI Agent for lookalike classification – an intelligent system that determines whether a suspicious domain has been deliberately crafted to mimic a legitimate one or if the resemblance is merely coincidental. That post focused on the what and why of the solution: why rule-based automation alone…Continue Reading: Red Sift’s AI Agent, Part II: Optimization for accuracy and scale

As brand impersonation grows in scale and sophistication, security teams face a dual challenge: uncovering the full extent of the threat and deciding what to do with what they find. For many, the first hurdle—detection—remains a work in progress. But for those with mature discovery pipelines, a new problem has emerged: volume. As visibility increases,…Continue Reading: Red Sift debuts the industry’s first AI Agent for lookalike classification