How We Trained Decision-1
See how full-weight Gemma 4 12B was trained to score supplied choices, what the held-out tests show, and what the matched task LoRA studies did and did not establish.
Read the technical articleWorthify research library
AI binary analysis and reverse engineering resources.
Start with the evaluation method, use the buyer checklist to plan a pilot, and read the ReAgent benchmark protocol for the evidence Worthify requires before publishing a performance claim.
Worthify research
Decision-1 model study
Understand the workflow
Definitions and task boundaries for AI assistance around binary artifacts and analyst review.
Best for: Scoping a bounded cyber-agent workflow
Cyber AI Agents for Bounded Technical Analysis
Cyber AI agents for bounded technical analysis, reverse engineering, binary analysis, malware triage, vulnerability research support, and government technical workflows that require human review.
Read Cyber AI Agents for Bounded Technical AnalysisBest for: Understanding the artifacts and review path
AI Binary Analysis With ReAgent-Assisted Review
AI binary analysis and LLM-assisted binary analysis for reverse engineering, malware triage, vulnerability research support, and controlled technical review.
Read AI Binary Analysis With ReAgent-Assisted ReviewBest for: Connecting agent behavior to analyst decisions
Agentic Reverse Engineering for Analyst Workflows
Agentic reverse engineering and AI agents for reverse engineering, binary analysis, vulnerability research support, malware triage, and human-reviewed handoff.
Read Agentic Reverse Engineering for Analyst WorkflowsEvaluate a product
Methods and evidence requests for a buyer-run technical evaluation.
Best for: Designing a credible baseline and task set
How to Evaluate AI-Assisted Reverse Engineering Tools
A practical evaluation method for AI-assisted reverse engineering tools using frozen tasks, a credible baseline, reviewable run evidence, and documented failure modes.
Read How to Evaluate AI-Assisted Reverse Engineering ToolsBest for: Planning diligence and a pilot exit decision
AI Binary Analysis Buyer Evidence Checklist
A buyer checklist for evaluating AI binary analysis platforms through task evidence, analyst review, provenance, deployment controls, and pilot exit criteria.
Read AI Binary Analysis Buyer Evidence ChecklistPlan deployment
Questions for controlled environments, government programs, and human oversight.
Best for: Reviewing model, network, and storage boundaries
Air-Gapped AI Reverse Engineering and On-Prem Review
Air-gapped AI reverse engineering and on-prem AI reverse engineering for sensitive binaries, customer-managed model placement, and controlled analysis workflows.
Read Air-Gapped AI Reverse Engineering and On-Prem ReviewBest for: Connecting technical controls to a government buyer path
Government Agentic AI Security for Technical Workflows
Government agentic AI security for cyber AI agents, secure AI agents for government, controlled technical workflows, traceability, and human review.
Read Government Agentic AI Security for Technical WorkflowsReview ReAgent methodology
The benchmark and reporting rules Worthify uses before publishing a performance conclusion.
Best for: Checking benchmark selection and claim gates
ReAgent Cyber Benchmark Evaluation Protocol
The publication requirements for comparing ReAgent with a credible baseline across cyber benchmarks, held-out binaries, human review, cost, failures, and statistical claim gates.
Read ReAgent Cyber Benchmark Evaluation ProtocolWorthify product
Evaluating ReAgent?
Read the product overview for its documented workflow, current evidence limits, and deployment-review path.
Read the ReAgent product overview