Cloud Security Operations Orchestrator

Security Analytics Engine - Anomaly Detection in Web Traffic

This repository contains an end-to-end walkthrough to leverage Google Cloud services to demonstrate Solution Accelerators for few business domains

Deterministic telemetry pipelines with typed contracts, indexed/full-scan equivalence, and verifiable evidence bundles.

🛡️ CyberSentinel – Threat Intel + Log Correlation Dashboard. An analyst-grade security tool that ingests threat intelligence, parses SSH/Apache logs, correlates IOCs, and generates real-time alerts.

AI-powered dashboard for global cyber threats, trends, and defense.

Security analytics data lake for TrustOps evidence: governance datasets, findings pipelines, compliance analytics, audit trails, and control-plane reporting.

AI-powered cybersecurity monitoring platform that detects suspicious digital attacks, analyzes threat patterns, visualizes intrusion risks, and assists in proactive cyber defense management.

Patent-aligned cybersecurity prototype implementing dynamic trust-based adaptive access control using credential integrity, competence evidence, behavioral risk, and event-driven trust recomputation.

Cybersecurity Intrusion Detection System using LightGBM

Interactive MITRE ATT&CK attack chain visualizer built from real Atomic Red Team telemetry. Groups Sysmon/EDR events into scored process chains with confidence gating and explainable timelines—deployed on Streamlit Cloud.

Mini SIEM built with Python & Flask for log monitoring and brute-force detection.

End-to-end network security pipeline for phishing data detection with data validation, ETL processing, and MongoDB storage using Python.

A scalable, Lakehouse-based SIEM architecture using Apache Kafka, Spark, Hadoop, and Hive for real-time security threat detection and large-scale log analytics

Splunk project analyzing simulated Linux syslog data to detect brute-force login attempts, error rate anomalies, escalated warnings, and correlated security events. Demonstrates advanced SPL, time-window correlation, lookup-based classification, and real-world SOC/SRE insights through storytelling dashboards.

Bitsight Security Ratings for Splunk App provides prebuilt dashboards, modular input collection, lookup-backed enrichment, workflow actions, setup pages, alert actions, additional functionality that is not found in the BitSight Security Ratings UI and documentation views for BitSight data in Splunk.

Synthetic-first BYOC insider-risk PoC with ingest, scoring, investigation, and demo UI.

Python-based cybersecurity log analysis and suspicious IP detection system

Behavioral threat detection and insider risk monitoring system powered by machine learning, anomaly detection, real-time monitoring, and automated security analysis.

AI-powered system that detects cybersecurity threats using machine learning by analyzing network traffic data and identifying anomalies in real time.