docs: update .github/SECURITY.md via Apex Optimizer

Author: chirag127

.github/SECURITY.md

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+# Security Policy for PyVanta-Python-Automation-And-Data-Processing-Toolkit
+
+As an Apex Project, security is paramount. This repository adheres to the **Zero-Defect** philosophy and expects all contributors to follow modern security best practices suitable for **December 2025** standards.
+
+## 1. Supported Versions
+
+We actively maintain and patch security issues for the latest stable release branch of the Python interpreter (currently targeting **Python 3.12+** environment standards) and associated dependencies managed by `uv`.
+
+## 2. Reporting a Vulnerability
+
+If you discover any security vulnerability within this project, please follow these steps immediately. **DO NOT** report vulnerabilities in public issues or pull requests.
+
+1.  **Private Disclosure:** Email the security team directly at `security@apex-architect.dev` (This is a placeholder; use a dedicated security contact if available, otherwise direct to maintainer: `chirag127@users.noreply.github.com`).
+2.  **Provide Details:** Include a clear description of the vulnerability, the affected file(s) or component(s), steps to reproduce the issue, and the potential impact.
+3.  **Wait for Response:** We will acknowledge receipt of your report, typically within 48 hours.
+
+## 3. Our Security Review Process
+
+Upon receiving a security report, the Apex Technical Authority initiates the following triage:
+
+1.  **Validation:** Attempt to reproduce the issue based on your steps.
+2.  **Remediation:** Develop a patch utilizing **Ruff** for automated static analysis checks and **Pytest** for integration testing to ensure regression prevention.
+3.  **Patch Deployment:** Once a fix is verified internally, we will prepare a private release candidate for security patch testing.
+4.  **Public Disclosure:** After the fix has been merged into the main branch and a new release is tagged, we will coordinate a public disclosure timeline, giving users reasonable time to update.
+
+## 4. Dependencies and Supply Chain Security
+
+Given this is a Python-based toolkit utilizing modern dependency management (`uv`), supply chain integrity is critical:
+
+*   **Dependency Auditing:** We rely on automated scanning via GitHub's Dependabot alerts to monitor for known vulnerabilities (CVEs) in third-party libraries.
+*   **Pinning:** Where appropriate and necessary for stability, exact version pinning is used to prevent unexpected breakage from upstream changes, balancing this with the need to apply security updates promptly.
+*   **Static Analysis:** The CI pipeline (`.github/workflows/ci.yml`) runs comprehensive checks using **Ruff** in its strict configuration to catch common security pitfalls (e.g., insecure deserialization patterns, dependency misuse).
+
+## 5. Contribution Security Requirements
+
+All contributions must align with the security directives outlined in `AGENTS.md`:
+
+*   **Principle Adherence:** All new code must uphold **DRY (Don't Repeat Yourself)** and **SOLID** principles, which inherently promote maintainability and reduce surface area for bugs.
+*   **No Secrets:** Under no circumstances should API keys, passwords, or sensitive configurations be hardcoded. Use environment variables exclusively, as mandated by the **Apex Architectural Patterns**.
+
+*Last Updated: December 2025*