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adi271213/README.md

Hi, I'm Aditya Jain

I'm a cybersecurity engineer and MSc Cyber Security Engineering student at the University of Warwick.
My work focuses on AI security, infrastructure-as-code assurance, SOC automation, and the reliability of LLMs in security-critical decision-making.

Current focus

  • Evaluating LLMs as security and compliance auditors for Terraform IaC
  • Benchmarking LLMs against static analysis tools such as Checkov
  • Cloud security misconfiguration research using AWS CIS controls
  • Detection engineering, SOC automation, and AI-assisted security workflows
  • Runtime governance and policy enforcement for autonomous AI agents

Featured work

Terraform LLM Auditor Benchmark

A research benchmark for testing whether LLMs can safely audit Terraform configurations against AWS security controls.

Key idea:
LLMs may classify clearly misconfigured infrastructure as compliant, creating a false sense of security. I track this using an Unsafe Compliance metric.

Technical areas

  • Cybersecurity engineering
  • Incident response and SOC operations
  • Cloud security and Terraform
  • Infrastructure-as-code security
  • LLM security and AI safety
  • Detection engineering
  • Python, Bash, Terraform, Sigma, Semgrep

Open-source direction

I contribute to and build tooling around:

  • IaC security checks
  • LLM red-teaming and evaluation
  • SOC detection rules
  • Policy-as-code
  • AI agent governance

Popular repositories Loading

  1. adi271213 adi271213 Public

  2. terraform_llm terraform_llm Public

    Benchmark for evaluating whether LLMs can safely audit Terraform IaC against AWS security controls, using Checkov as a static-analysis baseline.

  3. mnembound mnembound Public

    Python

  4. Terraform_Compliance_Review Terraform_Compliance_Review Public

    HCL

  5. omarchy omarchy Public

    Forked from omacom/omarchy

    Beautiful, Modern & Opinionated Linux

    Shell

  6. pip-audit pip-audit Public

    Forked from pypa/pip-audit

    Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them

    Python