Machine Learning

Explore the role of machine learning in combating email threats and enhancing cybersecurity resilience.

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Machine Learning

May 15, 2025

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How ASA thinks: The technical architecture of Sublime’s Autonomous Security Analyst

Learn how we built our agentic AI analyst that’s capable of performing almost all of the same tasks as a human email security analyst

Aryan Luthra

ML Researcher

Machine Learning

Feb 7, 2025

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Email Topic Modeling: Simplifying detection with ML-powered granularity

Topic Modeling is a machine learning-powered topic detection function that automatically classifies message content into predefined categories.

Aryan Luthra

ML Researcher

Machine Learning

Oct 21, 2024

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Combating GenAI Email Attacks with BERT LLM

Learn how BERT Large Language Model (LLM) enhances Sublime's Natural Language Understanding (NLU) and brings improved contextual awareness and understanding, language comprehension, and performance to better identify GenAI in phishing attacks.

Aryan Luthra

ML Researcher

Machine Learning

Jun 10, 2024

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Sublime Attack Score: Explainable, AI-backed threat analysis

Learn how Sublime Security uses explainable, transparent AI to summarize threats and save manual investigation time.

Bobby Filar

Machine Learning

Machine Learning

Apr 18, 2023

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Unmasking BEC attacks using Natural Language Understanding + MQL

Learn about the challenges of detecting Business Email Compromise (BEC) attacks and what makes them difficult for traditional security measures to identify. We'll explore how Natural Language Understanding and Message Query Language are used to detect and prevent these threats at scale.

Bobby Filar

Machine Learning

Machine Learning

Mar 30, 2023

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Detecting Credential Phishing using Deep Learning + MQL

Learn how Sublime uses Siamese Neural Networks, Object Detection, and other signals within MQL to identify credential phishing attacks.

Bobby Filar

Machine Learning

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