Security-101, Microsoft tarafından oluşturulan, yeni başlayanlar için uygun bir siber güvenlik müfredatıdır. Proje, yapılandırılmış modüller aracılığıyla temel siber güvenlik kavramlarını öğreten, dokümantasyon tabanlı bir öğrenme kaynağıdır. Satıcıdan bağımsızdır ve her biri 30-60 dakika süren küçük dersler şeklinde tamamlanacak şekilde tasarlanmıştır. Ana Teknolojiler: - İçerik için Markdown - Statik site oluşturma için Docsify - Barındırma için GitHub Pages - Çok dilli destek için Co-op Translator (50+ dil) - CI/CD için GitHub Actions Mimari: - Her biri alt derslere sahip 8 ana…
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Security-101 — це навчальна програма з основ кібербезпеки, створена Microsoft. Проєкт є ресурсом для навчання, заснованим на документації, який викладає базові концепції кібербезпеки через структуровані модулі. Він не залежить від конкретного постачальника і розроблений для виконання у невеликих уроках (30-60 хвилин кожен). Основні технології: - Markdown для контенту - Docsify для генерації статичних сайтів - GitHub Pages для хостингу - Co-op Translator для підтримки багатомовності (50+ мов) - GitHub Actions для CI/CD Архітектура: - Навчальний контент організований у 8 основних…
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Security-101 مائیکروسافٹ کی جانب سے تیار کردہ ایک ابتدائی سطح کی سائبر سیکیورٹی نصاب ہے۔ یہ پروجیکٹ ایک دستاویزاتی تعلیمی وسیلہ ہے جو بنیادی سائبر سیکیورٹی تصورات کو منظم ماڈیولز کے ذریعے سکھاتا ہے۔ یہ وینڈر-اگناسٹک ہے اور چھوٹے اسباق (ہر ایک 30-60 منٹ) میں مکمل کرنے کے لیے ڈیزائن کیا گیا ہے۔ اہم ٹیکنالوجیز: - مواد کے لیے مارک ڈاؤن - Docsify کے ذریعے جامد سائٹ جنریشن - GitHub Pages کے ذریعے ہوسٹنگ - Co-op Translator کے ذریعے کثیر…
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Security-101 là một chương trình học an ninh mạng dành cho người mới bắt đầu được Microsoft tạo ra. Dự án này là một tài liệu học tập giúp giảng dạy các khái niệm cơ bản về an ninh mạng thông qua các mô-đun có cấu trúc. Nó không phụ thuộc vào nhà cung cấp cụ thể và được thiết kế để hoàn thành trong các bài học nhỏ (mỗi bài từ 30-60 phút). Công nghệ chính: - Markdown để…
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An agent is an AI system that uses a language model and tools to complete a goal on your behalf. A language model generates responses based on the information in…
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The agent-governance-claude-code/ directory contains the first-party Claude Code plugin package for Agent Governance Toolkit. It wires AGT policy evaluation into Claude-native hooks, markdown commands, and a bundled MCP server.
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Scope: this folder publishes @microsoft/agent-governance-opencode, the AGT governance plugin for OpenCode. OpenCode loads plugins in-process as async JS/TS functions. The plugin entry point is src/index.mjs, which: - caches a single loadPolicy() state per OpenCode process - maps AGT decisions (allow / review / deny) onto OpenCode's contract: - deny → throw new Error(...) from the hook - review → annotate output.args.__agt_review_reason - allow → return undefined - exposes agt_policy_status and agt_policy_check_text as both in-process custom tools and stdio MCP server…
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AgentMesh is a trust-first communication layer for AI agents — providing cryptographic identity, multi-dimensional trust scoring, scope chains, and governance enforcement for multi-agent systems. Architecture: 4-layer trust stack - All data models use Pydantic BaseModel - Identity: AgentIdentity with .sign(data: bytes) -> str (base64 Ed25519 signatures) - Trust scores: 5 dimensions — competence, integrity, availability, predictability, transparency - DID format: did:mesh:{hex} — see the proof-of-possession note under Boundaries: registry/app.py derives DIDs from the public key, while AgentDID.generate mints a random…
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This directory contains cross-language AgentMesh SDKs: These SDKs should stay conceptually aligned with the trust, identity, governance, and MCP security surfaces provided elsewhere in the repo. This directory reflects the repo layout at this point in time. Some language implementations may eventually move into standalone top-level directories such as agent-governance-golang/, agent-governance-rust/, or agent-governance-python/. If that happens, treat the standalone top-level directory as the primary home for new work. This directory should then be treated as legacy/shared-layout guidance for the code…
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Agent-OS is a governance-first kernel for AI agents — a Python framework providing policy enforcement, semantic intent classification, identity management, and execution control for autonomous AI agents. Architecture: 4-layer modular kernel Framework adapters route intervention points through HostSession and receive PolicyEvaluation. Raise the canonical PolicyViolationError.from_evaluation_result(result) for denied or escalated results. Hosts should surface str(error) and use error.evaluation_result.reason_code for structured handling. Use conventional commits: feat:, fix:, docs:, test:, refactor:, chore:
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agent-governance-python/ is the top-level home for first-party published Python packages in Agent Governance Toolkit. Use this directory for reusable SDK/package surfaces that are meant to be consumed directly by external Python users. Applications, dashboards, demos, and larger runtime/product assemblies should stay in the repo root, examples/, or other existing homes unless maintainers explicitly decide to promote them into this package workspace. - Prefer this directory for first-party Python packages that are published independently. - Keep package names, import paths, and…
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Agent-SRE is an SRE toolkit for AI agent reliability — providing SLO management, error budgets, chaos engineering, progressive delivery, cost guardrails, incident management, and observability for autonomous AI agents. Key engines: Use conventional commits: feat:, fix:, docs:, test:, refactor:, chore:
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Agent Governance Toolkit is a multi-package OSS monorepo for runtime governance of AI agents: policy enforcement, zero-trust identity, execution sandboxing, SRE, compliance, examples, docs, demos, SDKs, and publishing pipelines. Use this file for repository-wide routing. When you enter a subdirectory that has its own AGENTS.md, that narrower file takes precedence. This routing reflects the repo as it exists today while reserving room for approved language SDK migrations. Language SDKs may live in standalone top-level directories at the repository root. For…
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The docs/ tree powers the published documentation site for Agent Governance Toolkit: reference material, tutorials, architecture docs, threat modeling, compliance content, package pages, and integration guides. - Be precise and honest; do not claim a feature is shipped unless the repo actually contains it. - Prefer updating an existing page over creating a near-duplicate page. - Use repo-relative links that work from the current document location. - Match existing tone: technical, direct, and evidence-based. - Keep package names, CLI commands,…
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The examples/ directory is the preferred place for runnable, self-contained integrations and worked examples. For OSS contributors, examples are often the best starting point for proposing support for a new framework or ecosystem tool. Use examples/ when you want to: Prefer an example over a core package change when the external project is new, niche, or still proving community demand.
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MicrosoftReads credentialsAGENTS.md