AI

This is the third article in our AI Agent series. In Part 1, we introduced Red Sift’s AI Agent for lookalike classification – an intelligent solution for handling the ambiguous cases that rule-based automation can’t confidently resolve, offering analyst-grade triage autonomously. In Part 2, we took readers behind the scenes to explore the engineering challenges…Continue Reading: Red Sift’s AI Agent, Part III: Performance in action

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

“Alert fatigue” must be the most common malady among cybersecurity professionals. According to a recent survey, 56% of large companies handle 1,000+ alerts each day. For 70% of security professionals, the volume of alerts has doubled in the past few years, with more than 51% of campaigns involving some form of AI-generated brand spoofing. For…Continue Reading: Separating signal from noise when fighting brand spoofing

Executive summary: Only 1 in 5 airlines enforces DMARC at the highest level, leaving customers exposed to phishing attacks that are now supercharged by AI. With billions at stake and national security on the line, airlines must move fast by adopting strong email authentication, deploying AI to counter AI, and leading by example across critical…Continue Reading: AI supercharges airline phishing: Why email security must catch up

Executive summary: AI has supercharged brand impersonation, with Q2 2024 seeing nearly half of all processed emails containing spoofing or phishing attempts—40% of which were AI-generated. The scale, speed, and sophistication of these attacks are overwhelming security teams, draining resources on false positives, and leaving critical threats undetected. Consumers are unforgiving when trust is breached—most…Continue Reading: Staying ahead of AI-powered brand impersonation

Executive Summary: Accurate logo detection is essential for protecting brands against misuse and fraudulent activities. Red Sift’s hybrid AI approach enhances detection precision, effectively balancing the reduction of false positives with the identification of genuine threats. This article: Introduction Logo detection is crucial for brand protection, helping identify logo misuse in lookalike domains and fraudulent activities….Continue Reading: Enhanced logo detection with AI: A hybrid approach