Cyber Security Consultant at Deloitte

Sanjeev Varma Ragula

SOC AnalystSecurity Engineering

I investigate and respond to threats in a 24/7 security operations centre, then build the queries, playbooks and tuning that make the next investigation faster.

Email me LinkedIn

  • Microsoft Sentinel
  • Defender XDR
  • CrowdStrike Falcon
  • Entra ID
  • Chronicle SOAR
Detection pipeline Simulation
A simulation of the job: a flood of telemetry, a handful of alerts, and the rare real incident worth escalating.
  • 2 yearsin managed detection and response
  • 500K+endpoints monitored in a global SOC
  • 8 clientsonboarded into a multi-client MXDR SOC
  • 80%+less time on initial email-alert triage

Experience

Two client engagements at Deloitte, from a 200-analyst global SOC to a multi-client MXDR service.

Cyber Security Consultant, Security Operations

Deloitte to present

Detection and response

Day to day in the SOC: triage, investigation, containment and clear communication.

  • Led investigations into confirmed compromises

    AiTM phishing, credential theft, DCSync attempts, malware infections, persistence and post-exploitation. Correlated identity, endpoint, email, network and threat-intelligence evidence to establish scope, root cause and user impact.

  • Worked high-fidelity EDR alerts end to end

    3–4 per shift, including multi-stage malware taking about an hour each from analysis through remediation and updates to affected users and management.

  • Traced multi-stage attack chains

    Execution, persistence, privilege escalation, lateral movement and command-and-control across endpoint, identity and network telemetry, using Defender XDR, CrowdStrike Falcon, Sentinel and Chronicle SOAR.

  • Responded in OT production environments

    Monitored and contained malware on legacy Windows 7 and 10 systems, including spread through removable-media software transfers, while keeping production running where isolating an endpoint would have stopped it.

  • Hunted proactively

    PowerShell telemetry, IOC-driven searches, CrowdStrike endpoint data and Metabase analysis to surface suspicious execution and persistence.

Security engineering

Building the tools, logic and process that let the SOC investigate faster and with less noise.

Alert tuning across client environments

Led cross-functional tuning as new clients came online: refining detection conditions, suppression and severity until analysts saw signal instead of noise.

500–700+ alerts per client, per shift, at onboarding
Each square is one alert. Counts represent the ranges. High Medium Low or benign

Email-security triage framework

A reusable investigation framework that brings everything about a suspicious email into one view: sender and authentication results, links, attachments, user clicks, remediation and user reports. It adds automated risk indicators and a score-based verdict, and covers reported emails, malicious URLs, URL clicks and AiTM phishing.

Cut initial triage from 5–15 minutes to 1 minute per alert, across 50–70+ email alerts per shift.

Risky sign-in playbook and SOP

The official KQL-based playbook for identity-risk investigations. Correlates interactive and non-interactive sign-ins, audit, Office activity, inbox rules and Entra ID risk to judge compromise and token persistence.

Adopted by 15 analysts across 8 clients, for 20+ investigations a day.

Detection logic refinement

Worked with engineering to cut false positives: for example, moving curl detections from broad command-line substring matching to process-aware execution conditions.

Plus suppression and severity calibration across identity, endpoint and email detections.

Client onboarding and telemetry

1–2 month onboarding cycles: scripted agent deployment, Velociraptor and Trex coverage checks, telemetry health and cross-tenant Sentinel and Defender configuration.

Helped grow the SOC from 1 to 8 clients in 14 months.

Threats I've investigated

Real attack types from my casework, mapped to MITRE ATT&CK.

  • Adversary-in-the-middle phishing

    Phishing pages that proxy the real sign-in to steal session tokens and bypass MFA.

    T1557T1566

  • DCSync and credential theft

    Attempts to pull password hashes from domain controllers by impersonating replication.

    T1003.006

  • Token abuse and persistence

    Stolen tokens reused after a password reset, found through non-interactive sign-ins.

    T1550TA0003

  • Malicious inbox rules

    Mailbox rules that hide or forward mail so an attacker can stay unnoticed.

    T1564.008

  • Multi-stage malware

    Execution, privilege escalation and command-and-control traced across the endpoint.

    TA0002TA0011

  • Lateral movement

    Attackers moving from the first foothold to other hosts and accounts.

    TA0008

  • Removable media in OT

    Malware carried into production networks on USB drives used to transfer software.

    T1091

  • Post-exploitation activity

    What attackers do after getting in: discovery, staging and attempts to dig in deeper.

    TA0007TA0004

Toolkit

SIEM, XDR, EDR and SOAR
Microsoft Sentinel, KQL, Microsoft Defender XDR, Microsoft Entra ID, CrowdStrike Falcon, Google Chronicle SIEM/SOAR, Tanium
Incident response and hunting
Triage, multi-stage attack investigation, root cause analysis, IOC hunting, behavioural analytics, persistence and lateral movement detection
Identity and cloud
Entra ID sign-in analysis, risky and non-interactive sign-ins, token abuse, AiTM, DCSync, MFA, Conditional Access, cloud app activity
Email and network
Phishing, URL and attachment analysis, post-delivery remediation (ZAP), SPF, DKIM, DMARC, CompAuth, DNS, proxy and firewall logs
DFIR and malware
Velociraptor, FleetDM, osquery, Sysmon, TheHive, live response, evidence acquisition, chain of custody, disk and memory forensics, timeline reconstruction
Detection engineering
KQL query development, detection use cases, alert tuning, false-positive reduction, risk scoring, investigation playbooks, TTP analysis

Certifications and education

  • Microsoft

    Security Operations Analyst Associate

    SC-200

  • Google Cloud

    Professional Security Operations Engineer

  • Microsoft

    Identity and Access Administrator Associate

    SC-300

  • Microsoft

    Cybersecurity Architect Expert

    SC-100In progress

  1. to

    Master of Science in Digital Forensics and Information Security

    National Forensic Sciences University (NFSU), Gandhinagar

    CGPA 8.56 / 10

  2. to

    Bachelor of Science in Computer Science

    Osmania University, Hyderabad

    CGPA 8.34 / 10

Research

Journal paper, accepted for publication

Forensic analysis of privacy and anonymity focused operating systems: Tails OS, Whonix and Qubes OS

International Journal of Electronic Security and Digital Forensics

Analyzed forensic artifacts, memory behaviour, encryption and anonymized network traffic on three privacy-focused operating systems, to show where investigators get stuck and propose improvements.

DOI 10.1504/IJESDF.2027.10068805

Academic project

Broken access control: exploitation and mitigation (OWASP A01)

Simulated IDOR and privilege-escalation flaws, documented the exploitation paths, and proposed secure role-based access control fixes.

Side projects

Small tools I build outside work, for chores I'd rather automate.

Router Control dashboard with a countdown to the next restart, connection status, latency chart and 24-hour uptime Router Control dashboard with a countdown to the next restart, connection status, latency chart and 24-hour uptime

Router Auto Restart

Scheduled restarts for home routers that can't restart themselves, driven from Windows, with an Android app that alerts when the router is up but the internet is down. Credentials stay in Windows Credential Manager or the Android Keystore.

Python, PowerShell, Java for Android. Open source, MIT licence.

View on GitHub

Shift Roster

An offline Android app that reads our team's colour-coded monthly roster, from Excel or a screenshot, and posts everyone's shift each morning at 6 AM. Text recognition runs on the phone: no server, account or internet.

Kotlin, Jetpack Compose, ML Kit. Shared privately with my team.

My GitHub profile

Get in touch

Happy to talk about security operations, incident response and security engineering. Email is the quickest way to reach me.

sanjeevvarma.ragula@gmail.com

LinkedIn GitHub

Based in Telangana, India