Protocol SIFT

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  Protocol SIFT — Transforming cyber investigations from hours of manual analysis into minutes of autonomous, explainable threat intelligence.

Inspiration Cybersecurity investigations are often slow, manual, and dependent on highly experienced analysts. We wanted to build a system that could automate evidence analysis, correlate findings across multiple sources, and help security teams respond faster and more accurately.

What it does Protocol SIFT is an autonomous cyber investigation platform that ingests forensic evidence, extracts entities, reconstructs attack relationships, detects threats, builds timelines, and generates explainable incident reports from a single workspace.

How we built it We built Protocol SIFT using a React-based frontend and a FastAPI backend. MongoDB stores investigations, evidence, entities, findings, timelines, and reports. The platform processes uploaded logs, normalizes data, extracts entities, builds relationship graphs, generates findings, and visualizes the investigation through interactive dashboards.

Challenges we ran into Correlating data from different evidence sources

Designing a scalable investigation workflow

Building graph relationships without dedicated graph databases

Creating explainable findings instead of black-box results

Ensuring the frontend could visualize complex investigation data clearly

Accomplishments that we're proud of Built an end-to-end investigation pipeline

Automated entity extraction and threat detection

Generated attack timelines and investigation reports

Developed an interactive knowledge graph visualization

Created a professional SOC-style investigation dashboard

What we learned The importance of data normalization in cybersecurity

How graph-based relationships improve investigations

Designing explainable AI workflows for security operations

Building scalable full-stack systems for real-world incident response

What's next for Protocol SIFT Integrate forensic tools such as Volatility, Sigma, YARA, Zeek, and Chainsaw

Add AI-powered Investigator, Verifier, and Skeptic agents

Implement advanced confidence scoring and self-validation

Integrate MITRE ATT&CK mapping and threat intelligence feeds

Support real-time investigations and collaborative SOC workflows

Evolve into a fully autonomous cyber incident response platform capable of reducing investigation time from hours to minutes.

Built With

• fastapi
• git
• javascript
• langgraph
• mongodb
• pydantic
• python
• react
• reactflow
• restapi
• tailwindcss
• typescript
• vite
• websockets