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…
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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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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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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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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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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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