Agentic Binary Analysis: When AI Becomes the Analyst
Heng Yin, Founder & CEO @Deepbits
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All posts →Benchmarking DeepDiff Against BinDiff on Stripped and Cross-Compiler Binaries
We compare DeepDiff and Google BinDiff across 21 binary pairs to measure function matching under compiler changes, stripped static code, and code movement between symbols.
Lessons from Building Agentic Binary Analysis, Part 1: LLMs Skim, They Don't Explore.
The most fundamental failure mode of LLM-powered binary analysis: models evaluate binaries by their most obvious features and stop there. This post walks through how Dr. Binary addresses it with an exhaustive analysis tool that processes every function before the LLM draws any conclusions.
DeepDiff: Next-Generation Binary Diffing for Precise Vulnerability and Patch Detection
We're excited to announce the launch of DeepDiff, Deepbits' groundbreaking solution for vulnerability detection and binary diffing. DeepDiff represents a major leap forward in security analysis. It helps security researchers, reverse engineers, and development teams to pinpoint vulnerable functions and generate precise diffing views across binary files with unmatched accuracy.