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πŸ’­
Con(β„³_Ξ±Ξ²) ⟹ βˆƒ 𝒱* [ (ℝ ⊨ 𝒱*) ∧ (β„³_Ξ±Ξ² ⊬ 𝒱*) ∧ (β„³_Ξ±Ξ² ⊬ ¬𝒱*) ] ∴ lim_{t β†’ ∞} βˆ‘_
πŸ’­
Con(β„³_Ξ±Ξ²) ⟹ βˆƒ 𝒱* [ (ℝ ⊨ 𝒱*) ∧ (β„³_Ξ±Ξ² ⊬ 𝒱*) ∧ (β„³_Ξ±Ξ² ⊬ ¬𝒱*) ] ∴ lim_{t β†’ ∞} βˆ‘_

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bin-ini/README.md

Hi, I'm Bindiya πŸ‘‹

Frontier AI & Cloud Security | Microsoft GBB | PhD in Mathematics

I am a Global Black Belt (GBB) - EMEA, in Frontier AI Security at Microsoft, specializing in the intersection of advanced mathematics, artificial intelligence, and enterprise cloud security architecture.

My work focuses on engineering secure cloud-native environments, pioneering AI-augmented vulnerability discovery, and bridging the gap between theoretical math and practical cyber defense.

πŸ”­ What I focus on

  • Agentic SOC & Cloud Security: Developing automated deployment strategies (Infrastructure as Code) for Azure Sentinel and enterprise SIEM platforms.
  • AI-Security Research: Exploring and defining AI vulnerability discovery frameworks (MDASH, Mythos) for frontier enterprise architecture.
  • Technical Publications: Authoring peer-reviewed research papers (including Measured or Inferred: Affect) and comprehensive technical blogs analyzing security ecosystems.
  • Thought Leadership: Currently authoring a book on advanced security concepts and serving as a recognized technical authority in the field.
    • Agent Governance Research: Building falsifiable methods for evaluating Agent Governance Research: Building falsifiable methods for evaluating the security controls around AI agent tool ecosystems β€” mcp-governance-validation

πŸ› οΈ Core Domains & Technologies

  • Security Architecture: Microsoft Security Suite, Azure Sentinel, SIEM/SOAR, AI-Sec Baselines
  • Research & Analytics: Applied Mathematics, Threat Modeling, Harmonic Data Analysis
  • Engineering: PowerShell, Jupyter Notebooks, Infrastructure as Code

πŸ“« Connect with me

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  1. agentic-soc-papers agentic-soc-papers Public

    Peer-citable papers on agentic SOC design β€” when autonomous incident response should act, and when it should not. DOI-archived via Zenodo.

  2. AI-RASA AI-RASA Public

    RASA

  3. AI-Security AI-Security Public

    AI-Security Research: Exploring how AI-augmented vulnerability discovery changes enterprise security architecture β€” and how the resulting controls can be evaluated rather than assumed.

  4. bin-ini bin-ini Public

  5. mcp-governance-validation mcp-governance-validation Public

    A framework for evaluating agent governance controls as falsifiable systems β€” six properties, four experiments, and an invitation to prove it wrong.

  6. mcp-investigation-reports mcp-investigation-reports Public

    MCP security investigation and hunting reports β€” reference material for detecting and investigating agent tool activity.