Category: AI

AI

Staying ahead of AI-powered brand impersonation

Rahul Powar

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…

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AI

Red Sift debuts the industry’s first AI Agent for lookalike classification

Francesca Rünger-Field

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…

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AI

Enhanced logo detection with AI: A hybrid approach

Phong Nguyen

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…

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AI

Predictions for 2025: Cybersecurity and the increasing rise of AI

Rahul Powar

Executive Summary: The year 2025 is set to witness a profound integration of AI into business functions, transforming cybersecurity into a pivotal business enabler. Organizations that adapt to these trends will gain a significant technological and competitive advantage.​ This article: Introduction 2025 is set to be the year where cybersecurity and AI will be defined…

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AI

Text classification in the age of LLMs

Phong Nguyen

Executive Summary: The emergence of Large Language Models (LLMs) has revolutionized text classification, transitioning from traditional rule-based systems to advanced deep learning techniques. This evolution enhances applications like spam detection and sentiment analysis, offering more accurate and efficient solutions.​ This article: Introduction As natural language processing (NLP) advances, text classification remains a foundational task with…

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AI

Skill up your security: How defenders can harness AI

Jack Lilley

How can defenders identify and resolve security issues faster with Red Sift Radar, and what does it have to do with the movie Tenet? That was the key theme of this year’s 16th e-Crimes & Cybersecurity Mid-Year Summit education session, featuring Billy McDiarmid. If you missed the event, don’t worry—we’ve got you covered with…

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