52 lines
2.0 KiB
Markdown
52 lines
2.0 KiB
Markdown
---
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name: defense-in-depth
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description: Defense in depth: add layered validation/guardrails across a data path (auth, validation, invariants, rate limits, idempotency). Triggers: defense in depth, guardrails, harden, 分层校验, 多道防线, 安全加固.
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---
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# Defense in Depth（分层校验 / 多道防线）
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## When to Use
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- Auth/data path changes (permissions, roles, ownership checks)
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- Risky inputs (user input, external APIs, files, SQL, commands)
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- Operations that must be safe under retries/concurrency
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- Incidents where we fixed symptoms but not the root class of bugs
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## Inputs（required）
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- Data path: entrypoints → core logic → side effects (DB/files/network)
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- Threat model: what could go wrong? who can trigger it?
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- Constraints: latency budgets, backward compatibility, rollout plan
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- Verification: how to prove guardrails work (tests, logs, metrics)
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## Procedure（default）
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1. **Map the Path**
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- Identify trust boundaries and validation points
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- List invariants that must always hold
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2. **Layer Guardrails**
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- AuthN/AuthZ checks at boundaries (least privilege)
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- Input validation + normalization (reject early)
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- Business invariants (defensive checks with clear errors)
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- Idempotency / dedup / retry-safety
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- Rate limits / resource bounds (timeouts, size limits)
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- Observability (structured logs, metrics, alerts)
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3. **Failure Modes**
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- Define what happens on invalid input, partial failures, timeouts
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- Ensure errors are actionable and do not leak sensitive info
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4. **Verify**
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- Add tests for each guardrail and key edge cases
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- Propose minimal manual verification steps if tests are missing
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## Output Contract（stable）
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- Path map: trust boundaries + invariants
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- Guardrails: what to add at each layer (with rationale)
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- Risks: what remains and why
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- Verification: exact tests/commands and expected signals
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## Guardrails
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- Avoid “one big check”; prefer multiple small, well-scoped checks
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- Prefer explicit errors over silent fallback
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- Security checks must not be bypassable via alternate code paths
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