---
title: "S.V. GAUTHAM - Security Analyst in Bengaluru | Tal"
description: "Meet S.V. GAUTHAM, Associate Engineer at Brillio | Security Analyst handling alerts| Microsoft Sentinel & KQL | Cloud & Identity Security | Incident Response | Cloud Security | Threat Hunting🛡️ based in Bengaluru."
image: "https://tal.club/meet/sv/share-image"
---

# S\.V\. GAUTHAM on Tal

## Headline

Associate Engineer at Brillio \| Security Analyst handling alerts\| Microsoft Sentinel & KQL \| Cloud & Identity Security \| Incident Response \| Cloud Security \| Threat Hunting🛡️

## About

I work as a SOC Analyst investigating high\-volume security activity across enterprise cloud environments\. On a typical shift, I triage and analyze 800–1500\+ alerts spanning Azure AD, Microsoft Defender, VPN, and endpoint telemetry, identifying suspicious authentication behavior, lateral movement patterns, and policy violations\. Beyond monitoring, I contribute to improving detection quality\. I’ve written and optimized KQL detection queries in Microsoft Sentinel, tuned analytics rules to reduce false positives, and escalated high\-severity incidents with structured analysis aligned to the MITRE ATT&CK framework\. Working directly with real attack patterns changed how I see cybersecurity\. I don’t just want to respond to threats I want to understand attacker behavior, simulate it, and ultimately anticipate it\. To move in that direction, I’m intentionally expanding into cloud security and offensive security\. I’m strengthening my knowledge in Azure identity protection, SIEM engineering, and network security fundamentals, while actively training on hands\-on platforms like TryHackMe and structured SOC learning paths\. I also bring a foundation in AI and machine learning, and I’m particularly interested in how behavioral analytics and intelligent detection can improve threat identification and reduce analyst fatigue\. Today, I help security teams improve detection accuracy and incident response efficiency\. My long\-term goal is to bridge blue\-team operations, cloud security architecture, and red\-team simulation to build more resilient systems\. If you're building a security team in a cloud\-first environment, I’m open to connecting and discussing opportunities where I can contribute and continue growing\.

## Location

Bengaluru

## Work experience

Security Analyst at Brillio, Jan 2026 \- Present · 6 mos, Bengaluru, Karnataka, India, • Monitored and triaged 200–300\+ security alerts per shift in Microsoft Sentinel across Azure AD, Defender, VPN, firewall, and endpoint logs, ensuring timely detection and response within SLA\. • Performed device health monitoring for 100\+ assets \(servers, firewalls, endpoints\) by identifying reporting and non\-reporting logs using KQL queries, improving visibility into log ingestion gaps\. • Analyzed daily log ingestion and billing data, tracking data consumption patterns and identifying non\-billable sources, contributing to optimized log management and cost awareness\. • Conducted 50\+ alert investigations per shift using KQL queries, identifying anomalies such as impossible travel, brute\-force attempts, and malicious IP activity\. • Reduced false positives by \~20–30% through effective alert validation and correlation across identity, endpoint, and network logs\. • Utilized Microsoft Defender, CrowdStrike, and Zscaler to perform deeper endpoint and network analysis, improving investigation depth beyond SIEM alerts\. • Monitored and investigated 200–500 DLP alerts per shift using Microsoft Purview, identifying unauthorized uploads, downloads, and potential data exfiltration attempts\. • Documented 100% of incidents and investigations in ServiceNow, ensuring audit readiness and structured incident tracking\. • Delivered daily shift handovers and participated in SOC briefings, ensuring seamless transition and continuity of incident response\. • Generated weekly reports on incident trends, alert volumes, and response metrics, supporting data\-driven security improvements\. •Conducted incident investigations aligned to MITRE ATT&CK tactics, including Initial Access, Persistence, Privilege Escalation, and Lateral Movement\. •Escalated high\-severity \(P1/ P2\) incidents to Tier\-2 teams with detailed root cause analysis and recommended containment actions\. • Performed end\-of\-shift health checks on systems and servers, ensuring 99%\+ operational availability of security infrastructure\.

Data Science Intern at CollegePur, Jun 2025 \- Aug 2025 · 3 mos, Remote, • Processed and indexed 1,000\+ college records into a vector database, streamlining information retrieval for an educational consultancy platform\. • Developed an AI\-powered chatbot using LangChain and RAG, delivering real\-time guidance on college rankings, courses, and fees\. • Designed a retrieval pipeline with FAISS embeddings, reducing average query response time to under 2 seconds\. • Leveraged Python, Power BI, and FAISS to transform data\-driven decision\-making for prospective students\.

On Campus Job \- Introduction to C at Shiv Nadar University, Jan 2025 \- May 2025 · 5 mos, Noida, Uttar Pradesh, India, •Managed lab sessions for 200 students, optimizing lesson plans and improving session efficiency by 30%\. •Graded 150\+ assignments and exams while maintaining accurate records on the LMS for the course\.

AI Development Intern at Infosys Springboard, Oct 2024 \- Dec 2024 · 3 mos, Remote, •Developed and fine\-tuned a deep learning model for eye disease classification using CNNs and ResNet50, achieving 92% accuracy in image classification\. •Preprocessed 5,000\+ medical images using OpenCV and TensorFlow, reducing noise by 30% and improving model performance by 25% via transfer learning and feature extraction\. •Automated feature extraction pipelines, streamlining model training and evaluation for faster iteration cycles\.

Machine Learning Intern at Feynn Labs, Aug 2024 \- Oct 2024 · 3 mos, Remote, •Analyzed and reported on an AI\-driven energy management system, optimizing energy usage for small manufacturing units and reducing operational costs by up to 20% using predictive analytics\. •Extracted and processed 10,000\+ records using Python \(Pandas, Numpy\), implementing K\-means clustering and regression models to forecast EV market trends with 95% accuracy, reducing data processing time by 40%\. •Built dashboards and visualizations to support strategic energy management decisions\.

## Education

Bachelor of Technology, Electrical and Computer Engineering, Shiv Nadar University

High School Diploma, SAI International School

[View the original profile](https://tal.club/meet/sv)

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