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Foundation models for cybersecurity

Foundation models are reshaping cybersecurity. This pillar explains what they are, the four ways they get used in security, where general-purpose LLMs fail, and what a vertical foundation model like LogLM does differently.

Behavioral threat detection vs. signature-based detection

Signature-based tools match what they have seen before. Behavioral detection learns what is normal and flags what is not. Both miss a category of modern attack. This pillar walks through what each approach does, where each fails, and why intent-level detection is a third option.

What is a LogLM?

A LogLM is a Log Language Model, a foundation model trained on operational telemetry instead of natural language. This pillar explains what a LogLM is, how it differs from a general-purpose LLM, what it took to build one in production, and why it changes how modern threats are detected.

Browser-based workspace attacks: Why zero trust isn't enough when your browser becomes the perimeter

When ransomware stops encrypting: The shift from crypto-ransomware to pure data extortion

Supply chain attacks go industrial

Detecting intent, not indicators: the shift security teams must make in 2026

Evaluating AI-based detection systems

Living off the land techniques and network indicators

Detection engineering workflows for AI-augmented SOCs