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data-v-e6f2a212><div><h1 id="choosing-your-security-level" tabindex="-1">Choosing Your Security Level <a class="header-anchor" href="#choosing-your-security-level" aria-label="Permalink to "Choosing Your Security Level""></a></h1><p><strong>June 7, 2026</strong></p><p>Not every agent needs Level 5 security. The right level depends on what your agent can access.</p><h2 id="the-decision-table" tabindex="-1">The Decision Table <a class="header-anchor" href="#the-decision-table" aria-label="Permalink to "The Decision Table""></a></h2><table tabindex="0"><thead><tr><th>If your agent has access to...</th><th>Start at...</th><th>Why</th></tr></thead><tbody><tr><td>Nothing important (demos, tutorials)</td><td>L1</td><td>Blast radius is zero</td></tr><tr><td>Your source code and configs</td><td>L3</td><td>A bad git push costs a day</td></tr><tr><td>Production credentials (AWS, DB)</td><td>L4-L5</td><td>There is no acceptable failure</td></tr><tr><td>Customer data (PII, financial)</td><td>L5</td><td>Compliance requires it</td></tr></tbody></table><h2 id="level-1-2-when-you-can-get-away-with-it" tabindex="-1">Level 1-2: When You Can Get Away With It <a class="header-anchor" href="#level-1-2-when-you-can-get-away-with-it" aria-label="Permalink to "Level 1-2: When You Can Get Away With It""></a></h2><p>L1 (system prompt rules) and L2 (safe-mode skill) work well for tutorial agents that only touch demo data, personal assistants with no production access, and agents running in isolated environments.</p><p>The model will refuse most dangerous requests. "Most" is the problem. At a 1% per-turn failure rate, over 100 turns there is a 63% chance of at least one failure.</p><h2 id="level-3-the-minimum-for-production-code" tabindex="-1">Level 3: The Minimum for Production Code <a class="header-anchor" href="#level-3-the-minimum-for-production-code" aria-label="Permalink to "Level 3: The Minimum for Production Code""></a></h2><p>L3 (blacklist hook) catches direct attacks like <code>rm -rf /</code>. But it misses the marquee break: the agent writes a Python script that does the damage, and the blacklist only sees "python cleanup.py" which is not in the blocklist.</p><h2 id="level-4-the-sweet-spot" tabindex="-1">Level 4: The Sweet Spot <a class="header-anchor" href="#level-4-the-sweet-spot" aria-label="Permalink to "Level 4: The Sweet Spot""></a></h2><p>Whitelist hooks only allow N safelisted commands. The agent cannot run <code>python cleanup.py</code> because <code>python</code> is not safelisted. This prevents the L3 marque break. Use L4 as your default for any agent with access to production systems.</p><h2 id="level-5-the-gold-standard" tabindex="-1">Level 5: The Gold Standard <a class="header-anchor" href="#level-5-the-gold-standard" aria-label="Permalink to "Level 5: The Gold Standard""></a></h2><p>No bash at all. The agent has only purpose-built tools: Read, Write, Edit, Grep, Glob. Required for any agent handling customer data, financial transactions, or healthcare information.</p><h2 id="rule-of-thumb" tabindex="-1">Rule of Thumb <a class="header-anchor" href="#rule-of-thumb" aria-label="Permalink to "Rule of Thumb""></a></h2><p>If the agent can touch anything you cannot easily roll back, start at L4 and plan to get to L5.</p><hr><p><em>From Module 3 of the <a href="/">Agentic Engineering Course</a>. The full module includes runnable code for all 6 security levels.</em></p></div></div></main><footer class="VPDocFooter" data-v-e6f2a212 data-v-1bcd8184><!--[--><!--]--><div class="edit-info" data-v-1bcd8184><!----><div class="last-updated" data-v-1bcd8184><p class="VPLastUpdated" data-v-1bcd8184 data-v-1bb0c8a8>Last updated: <time datetime="2026-06-03T12:07:52.000Z" data-v-1bb0c8a8></time></p></div></div><!----></footer><!--[--><!--]--></div></div></div><!--[--><!--]--></div></div><footer class="VPFooter" data-v-d8b57b2d data-v-566314d4><div class="container" data-v-566314d4><p class="message" data-v-566314d4>FDSA Agency — Agentic Engineering Course. Part of the fdsa.ai orchestration platform.</p><p class="copyright" data-v-566314d4>Copyright 2026</p></div></footer><!--[--><!--]--></div></div></div>
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Patterns\",\"link\":\"/modules/m4-orchestration#lesson-41-why-one-agent-is-not-enough\"},{\"text\":\"4.5-4.9 Teams & Comms\",\"link\":\"/modules/m4-orchestration#lesson-43-depth-2-delegation\"},{\"text\":\"4.10-4.11 Case Studies\",\"link\":\"/modules/m4-orchestration#lesson-410-the-ceo-board-system\"},{\"text\":\"Labs 4.12-4.13\",\"link\":\"/labs/l4-agent-chain\"}]},{\"text\":\"Module 5: Production\",\"link\":\"/modules/m5-production\",\"collapsed\":true,\"items\":[{\"text\":\"5.1-5.4 CI/CD & Stack\",\"link\":\"/modules/m5-production#lesson-51-what-production-means-for-agents\"},{\"text\":\"5.5-5.8 Deploy & Monitor\",\"link\":\"/modules/m5-production#lesson-53-shadow-deployments\"},{\"text\":\"Labs 5.9-5.10\",\"link\":\"/labs/l5-observability\"}]},{\"text\":\"Module 6: Economics\",\"link\":\"/modules/m6-economics\",\"collapsed\":true,\"items\":[{\"text\":\"6.0-6.2 Pricing\",\"link\":\"/modules/m6-economics#lesson-60-the-compute-advantage-equation\"},{\"text\":\"6.3-6.5 Eval Metrics\",\"link\":\"/modules/m6-economics#lesson-63-cost-per-session-math\"},{\"text\":\"6.6-6.7 Testing\",\"link\":\"/modules/m6-economics#lesson-66-ab-testing-agents\"},{\"text\":\"Labs 6.8-6.9\",\"link\":\"/labs/l6-eval-harness\"}]},{\"text\":\"Module 7: Advanced\",\"link\":\"/modules/m7-advanced\",\"collapsed\":true,\"items\":[{\"text\":\"7.1-7.3 Autoresearch\",\"link\":\"/modules/m7-advanced#lesson-71-autoresearch\"},{\"text\":\"7.4-7.6 Meta & Beyond\",\"link\":\"/modules/m7-advanced#lesson-73-meta-agents\"},{\"text\":\"Labs 7.7-7.8\",\"link\":\"/labs/l7-autoresearch\"}]},{\"text\":\"Module 8: Capstone\",\"link\":\"/modules/m8-capstone\",\"collapsed\":true,\"items\":[{\"text\":\"Project Options\",\"link\":\"/modules/m8-capstone#project-options\"},{\"text\":\"Phases\",\"link\":\"/modules/m8-capstone#capstone-phases\"},{\"text\":\"Rubric\",\"link\":\"/modules/m8-capstone#grading-rubric\"}]}],\"/labs/\":[{\"text\":\"All Labs\",\"link\":\"/labs/l1-first-agent\"},{\"text\":\"L1: First Agent\",\"link\":\"/labs/l1-first-agent\"},{\"text\":\"L2a: Multi-Tool Agent\",\"link\":\"/labs/l2-multi-tool\"},{\"text\":\"L2b: Context-Aware Agent\",\"link\":\"/labs/l2-context\"},{\"text\":\"L3a: Whitelist Hook\",\"link\":\"/labs/l3-whitelist-hook\"},{\"text\":\"L3b: Verifier Agent\",\"link\":\"/labs/l3-verifier\"},{\"text\":\"L4a: Agent Chain\",\"link\":\"/labs/l4-agent-chain\"},{\"text\":\"L4b: Multi-Team Config\",\"link\":\"/labs/l4-multi-team\"},{\"text\":\"L5a: Observability\",\"link\":\"/labs/l5-observability\"},{\"text\":\"L5b: CI/CD Pipeline\",\"link\":\"/labs/l5-cicd\"},{\"text\":\"L6a: Eval Harness\",\"link\":\"/labs/l6-eval-harness\"},{\"text\":\"L6b: Cost Optimization\",\"link\":\"/labs/l6-cost-optimization\"},{\"text\":\"L7a: Autoresearch\",\"link\":\"/labs/l7-autoresearch\"},{\"text\":\"L7b: 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