Agentic Cybersecurity AI Assistant

Overview

An enterprise-grade AI cybersecurity assistant built with LangChain and LangGraph, combining multi-agent orchestration, Retrieval-Augmented Generation (RAG), vector search, external security tools, and automated reporting to support vulnerability analysis and continuous monitoring.

Purpose — Why This Project Exists

Security teams drown in vulnerability scan output — triaging it manually is slow and inconsistent across analysts. This assistant exists to turn raw scan data into context-grounded, reasoned analysis automatically: specialized agents plan, retrieve relevant vulnerability knowledge, and generate reports, so human analysts spend their time on judgment calls instead of manual lookup.

Animated Workflow

1

Scan Input

Vulnerability scan / monitoring data ingested.

2

Planner Agent

Breaks the task into an analysis plan.

3

Retriever Agent

RAG pulls context from FAISS/ChromaDB knowledge bases.

4

Analyst Agent

Reasons over findings with retrieved evidence.

5

Fallback Handling

Failed tool calls / partial retrieval handled gracefully.

6

Automated Report

Findings compiled into a shareable security report.

Key Features

Multi-Agent Workflows — specialized planner, retriever and analyst agents for automated vulnerability analysis and reporting.

RAG Pipeline — FAISS/ChromaDB, embeddings and semantic search over vulnerability knowledge bases.

Fallback & Error Handling — strategies for failed tool calls and incomplete retrieval results.

Optimized Inference — context-window management, selective retrieval and efficient prompt construction.

Persistent Session Memory — contextual state maintained across multi-step agent workflows.

CI/CD & Containers — GitHub Actions pipelines with Docker-containerized agent services.

Benefits

Faster Triage

Automates the first pass of vulnerability analysis, not just detection.

Context-Grounded

Every conclusion is backed by retrieved vulnerability knowledge, not guesswork.

Resilient by Design

Graceful fallback logic keeps workflows running through tool failures.

Continuous Monitoring

Built to run as an ongoing watch, not a one-off scan report.

Technology Stack

LangChain LangGraph Python FAISS ChromaDB Docker GitHub Actions

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