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class="VPDocAside" data-v-e6f2a212 data-v-cb998dce><!--[--><!--]--><!--[--><!--]--><nav aria-labelledby="doc-outline-aria-label" class="VPDocAsideOutline" data-v-cb998dce data-v-f610f197><div class="content" data-v-f610f197><div class="outline-marker" data-v-f610f197></div><div aria-level="2" class="outline-title" id="doc-outline-aria-label" role="heading" data-v-f610f197>On this page</div><ul class="VPDocOutlineItem root" data-v-f610f197 data-v-53c99d69><!--[--><!--]--></ul></div></nav><!--[--><!--]--><div class="spacer" data-v-cb998dce></div><!--[--><!--]--><!----><!--[--><!--]--><!--[--><!--]--></div></div></div></div><div class="content" data-v-e6f2a212><div class="content-container" data-v-e6f2a212><!--[--><!--]--><main class="main" data-v-e6f2a212><div style="position:relative;" class="vp-doc _blog_posts_security-ladder" data-v-e6f2a212><div><h1 id="the-6-level-security-ladder" tabindex="-1">The 6-Level Security Ladder <a class="header-anchor" href="#the-6-level-security-ladder" aria-label="Permalink to "The 6-Level Security Ladder""></a></h1><p><strong>June 6, 2026</strong></p><p>Every AI agent has access to bash. One tool — every dangerous verb: <code>rm -rf</code>, <code>curl</code>, <code>git clean -fdx</code>, <code>terraform destroy</code>, <code>DROP DATABASE</code>.</p><p>The math is brutal. At a 1% per-turn failure rate, there's a <strong>63.4% chance of catastrophe over 100 turns</strong>. This isn't theoretical — it's the actual threat model for every agent in production.</p><p>Most engineers stop at Level 2 (system prompt rules) and think they're safe. They're not. Here's the full 6-level ladder that actually works.</p><h2 id="level-0-acip-prompt-injection-defense" tabindex="-1">Level 0: ACIP (Prompt Injection Defense) <a class="header-anchor" href="#level-0-acip-prompt-injection-defense" aria-label="Permalink to "Level 0: ACIP (Prompt Injection Defense)""></a></h2><p>Before bash security, there's prompt injection. An attacker can trick the agent into ignoring its instructions through:</p><ul><li>Direct injection ("ignore previous instructions")</li><li>Indirect injection (malicious content in web pages the agent reads)</li><li>Role-playing bypasses ("you are now a free AI")</li></ul><p>ACIP (Advanced Cognitive Inoculation Prompt) is a system prompt patch that makes agents resistant. It costs nothing (zero runtime overhead) and blocks simple attacks. <a href="https://github.com/Dicklesworthstone/acip" target="_blank" rel="noreferrer">Jeff Emanuel's ACIP</a> is the reference implementation.</p><h2 id="level-1-2-theatre-skills-system-prompts" tabindex="-1">Level 1-2: Theatre (Skills + System Prompts) <a class="header-anchor" href="#level-1-2-theatre-skills-system-prompts" aria-label="Permalink to "Level 1-2: Theatre (Skills + System Prompts)""></a></h2><p>These levels ask the model to behave. They work most of the time on frontier models. But "most of the time" is not a production guarantee. A 99% refusal rate means a 63% failure rate over 100 turns. Use them as accelerators, not enforcement.</p><h2 id="level-3-blacklist-hook" tabindex="-1">Level 3: Blacklist Hook <a class="header-anchor" href="#level-3-blacklist-hook" aria-label="Permalink to "Level 3: Blacklist Hook""></a></h2><p>A regex blacklist intercepts dangerous commands before execution. It catches <code>rm -rf /</code> directly. But here's the marquee break: the agent writes a Python script:</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>User prompt: "Clean up the target directory"</span></span>
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<span class="line"><span>Agent writes cleanup.py with os.remove() and shutil.rmtree()</span></span>
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<span class="line"><span>Agent runs: python cleanup.py</span></span>
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<span class="line"><span>Hook sees: "python cleanup.py" (not in blacklist)</span></span>
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<span class="line"><span>Result: target/ is destroyed. Blacklist never fired.</span></span></code></pre></div><p>Level 3 is where most engineers stop. It's not enough.</p><h2 id="level-4-whitelist-hook" tabindex="-1">Level 4: Whitelist Hook <a class="header-anchor" href="#level-4-whitelist-hook" aria-label="Permalink to "Level 4: Whitelist Hook""></a></h2><p>Invert the approach. Only N safelisted commands are allowed:</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>^npm test$</span></span>
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<span class="line"><span>^git status$</span></span>
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<span class="line"><span>^uv run pytest</span></span>
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<span class="line"><span>^cat [\w/\.-]+$</span></span>
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<span class="line"><span>^pwd$</span></span></code></pre></div><p>Everything else is blocked. The agent can't run <code>python cleanup.py</code> because <code>python</code> isn't on the list. The L3 marquee break is prevented.</p><h2 id="level-5-no-bash" tabindex="-1">Level 5: No Bash <a class="header-anchor" href="#level-5-no-bash" aria-label="Permalink to "Level 5: No Bash""></a></h2><p>Bash doesn't exist. The agent has only purpose-built tools: Read, Write, Edit, Grep, Glob, and a capped-output test runner. No shell, no subprocess, no danger.</p><p>This is production-grade. Use it for any agent with access to credentials, customer data, or production infrastructure.</p><h2 id="the-full-stack" tabindex="-1">The Full Stack <a class="header-anchor" href="#the-full-stack" aria-label="Permalink to "The Full Stack""></a></h2><p>In production, stack all six:</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>L0: ACIP (prompt defense)</span></span>
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<span class="line"><span>L1: System prompt rules</span></span>
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<span class="line"><span>L2: Safe-mode skill</span></span>
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<span class="line"><span>L3: Blacklist hook</span></span>
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<span class="line"><span>L4: Whitelist hook</span></span>
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<span class="line"><span>L5: No bash, custom tools only</span></span></code></pre></div><p>Each layer catches what the previous one missed. The agent must bypass ALL six to cause damage — not just one.</p><hr><p><em>This is an excerpt from Module 3 of the <a href="/">Agentic Engineering Course</a>. The full module includes runnable lab code for implementing every level.</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>
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Architecture\",\"link\":\"/modules/m2-architecture\",\"collapsed\":true,\"items\":[{\"text\":\"2.1-2.3 Core Architecture\",\"link\":\"/modules/m2-architecture#lesson-21-the-four-pillars\"},{\"text\":\"2.4-2.6 Skills & Workspace\",\"link\":\"/modules/m2-architecture#lesson-23b-skills-system-deep-dive\"},{\"text\":\"2.7-2.9 Advanced Patterns\",\"link\":\"/modules/m2-architecture#lesson-24-context-window-management\"},{\"text\":\"Labs 2.10-2.11\",\"link\":\"/labs/l2-multi-tool\"}]},{\"text\":\"Module 3: Safety & Security\",\"link\":\"/modules/m3-safety\",\"collapsed\":true,\"items\":[{\"text\":\"3.1-3.2 Bash & Ladder\",\"link\":\"/modules/m3-safety#lesson-31-why-bash-is-the-single-point-of-failure\"},{\"text\":\"3.3-3.5 Hooks & Control\",\"link\":\"/modules/m3-safety#lesson-33-the-l3-marque-break\"},{\"text\":\"3.6-3.7 Verifier & Stacking\",\"link\":\"/modules/m3-safety#lesson-36-the-verifier-pattern\"},{\"text\":\"Labs 3.8-3.9\",\"link\":\"/labs/l3-whitelist-hook\"}]},{\"text\":\"Module 4: Orchestration\",\"link\":\"/modules/m4-orchestration\",\"collapsed\":true,\"items\":[{\"text\":\"4.1-4.4 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 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