I secure cloud systems, and the AI running inside them.

Cloud security and AI securityISO/IEC 27001 Lead AuditorU.S. Department of State ScholarFinal-year B.E. IT, Pune

Identity

Active Directory is where attackers aim first. I harden who gets in and what each account can reach.

Detect

SOC operations at EY, and Serverless SOAR, which turns Wazuh alerts into readable Slack triage.

Break

Vulnerability assessment and penetration testing: finding the weakness before someone else does.

Govern

ISO/IEC 27001 Lead Auditor. Controls mapped across ISO 27001, PCI DSS and DPDP.

AI

Deepfake and identity threat research, and Agent File Monitor, a tool I am building to log every file a coding agent touches.

Cloud security meets AI security.

I am a final-year B.E. Information Technology student in Pune. I spent a year in Virginia as a U.S. Department of State CCI Exchange Program scholar, then a year at EY working on SOC operations, penetration testing and Active Directory security.

My focus is how cloud systems get misconfigured and how AI models and agents get abused. I want to build the controls that catch both, and to audit them against the standards that matter.

  • ScholarU.S. Department of State CCI Exchange Program, Northern Virginia Community College, GPA 3.89 out of 4.00
  • ResearcherCrime forecasting for my final-year project, and identity threats from deepfakes and AI at EY
  • AuditorISO/IEC 27001 Lead Auditor
  • ExploringAI product management, turning security and AI projects into products people use
Cloud AI Where I work

Things I built

Four projects, from alert triage to compliance mapping. The repositories are being rebuilt on GitHub.

  1. Oct 2026

    Serverless SOAR

    Wazuh alerts travel through EventBridge and Lambda and land in Slack as readable triage.

  2. In progress

    AutoGRC

    Being built on AWS: it will check policy documents against ISO 27001 controls with retrieval and a foundation model, and cite the evidence behind each verdict.

  3. In progress

    Agent File Monitor

    Being built: it will log every file an AI coding agent touches and flag access outside its scope.

  4. Final-year project

    CrimeVision AI

    Crime forecasting that compares ARIMA, LSTM and a plain baseline on real incident data.

Research.

Two lines of work. One forecasts crime on real data, the other looks at how AI changes identity attacks.

DataNCRB records for Maharashtra, cleaned by district and month
BaselineA simple benchmark every model must beat
ARIMA and LSTMStatistical and deep models, compared in tiers
CrimeVision AIA district heatmap with citizen reporting that reaches a police dashboard
Final-year project · in progress

Tiered crime forecasting

Extends Natarajan et al. (2024) by testing a baseline, ARIMA and an LSTM side by side on Maharashtra data. The IEEE paper comes first. CrimeVision AI is then built on the same data, so the paper's results are the app's results.

Ernst & Young · 2025 to 2026

AI and deepfake identity threats

Researched how synthetic voices and faces defeat identity checks, and which controls still hold. This sits next to my Active Directory work, since identity is the layer attackers cross first.

Experience and education.

Jun 2025 to Jun 2026 · Mumbai

Cybersecurity intern, Ernst & Young

Ran SOC operations, carried out vulnerability assessment and penetration testing, and worked on Active Directory security. Researched AI and deepfake identity threats.

One year · Virginia, USA

CCI Exchange Program scholar, Northern Virginia Community College

Cyber Security program funded by the U.S. Department of State. GPA 3.89 out of 4.00.

Graduating 2027 · Pune

B.E. Information Technology

PCET NMIET, Savitribai Phule Pune University. Final year.

Certifications.

Looking for a paid internship in cloud and AI security.

Cloud security, AI security or research collaboration. Pune, Mumbai or remote.

dhruvtalegaonkar1@gmail.com

© 2026 Dhruv Talegaonkar, Pune, India

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