AI & Security
13 articles about AI & Security
Beyond the leaderboard: Benchmarking LLMs on a real security task
We benchmarked 12 LLM configurations on Radar Lite's security summarization task. Frontier models led, but mid-tier options came surprisingly close at a fraction of the cost.
Read moreAI & SecuritySecurity in the age of AI: Mythos and going back to basics
AI models like Anthropic's Mythos are finding and exploiting vulnerabilities faster than humans can keep up. Learn why the answer to AI-driven cyber threats starts with getting the basics right.
Read moreAI & SecurityAttackers are industrializing at scale: Where defenders stand in 2026
Red Sift CEO Rahul Powar shares insights from 1,200+ organizations on how AI-driven attacks are industrializing in 2026, plus updates on Radar Lite and Red Sift's MCP capabilities.
Read moreProduct UpdatesIntroducing Red Sift Radar Lite: AI-powered security analysis for everyone
Radar Lite is a free AI-powered tool that evaluates your domain's email authentication, DNS, and website security, then benchmarks your posture against industry peers.
Read moreAI & SecurityRed Sift's AI Agent, Part III: Performance in Action
The third instalment covers real-world performance results. Here's what the data shows and what it means for classification at scale.
Read moreAI & SecurityAI Is Supercharging Airline Phishing Attacks
AI-generated phishing targeting airline customers is getting harder to detect. Here's what's changed and what defences actually work.
Read moreAI & SecurityRed Sift's First AI Agent for Lookalike Classification
Red Sift has debuted the industry's first AI agent for lookalike domain classification. Here's how it works and what it means for brand protection.
Read moreAI & SecurityEnhanced Logo Detection with AI: A Hybrid Approach
Detecting brand logos at scale requires more than one model. Here's how Red Sift combines approaches to make logo detection faster and more accurate.
Read moreAI & SecurityText Classification in the Age of LLMs
LLMs have changed what's possible with text classification. Here's how the landscape has shifted and what it means for security and data teams.
Read moreAI & SecurityLarge Language Models: Harnessing Power with Prudence
LLMs offer enormous potential — but also real risks if deployed carelessly. Here's how to think about integrating them responsibly into security workflows.
Read moreAI & SecurityRed Sift Brand Trust launches first GPT-4 powered feature, Relevance Detection
Brand Trust's new Relevance Detection feature uses GPT-4 to filter noise and surface the brand threats that actually need your attention.
Read moreAI & SecurityeBPF, Ingrained in Rust: What We Built and Why
Red Sift built its eBPF tooling in Rust for safety and performance. Here's the technical story behind the decision and what we learned along the way.
Read moreAI & SecurityRust Meets Q: What We Built and What We Learned
Red Sift engineers built a Rust integration with the Q language. Here's the technical story, the challenges we hit, and why we think it was worth it.
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