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Securing the SDLC at Scale: Policy-as-Code vs Manual Review

3D simulator of enterprise-scale secure SDLC: dozens of engineering teams commit code simultaneously against a central OPA-style policy engine. Compare policy-as-code, which scales linearly with compute, against manual security review, which bottlenecks on a single human reviewer.

Cybersecurity3DModerate60 FPS

Details

CategoryCybersecurity

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsPolicy-as-code / Manual review mode toggle switches every commit's destination between the parallel policy engine and a single reviewer queue; Engineering teams slider (6-48) sets how many team nodes commit code; Commits/second slider (1-30) sets the aggregate commit rate across all teams; Reset clears the scene, queue and stats; drag to orbit camera, scroll to zoom.

Three.jspolicy-as-codeSDLCDevSecOpssecurity championsOPA

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A 3D simulation of enterprise-scale secure SDLC: dozens of engineering teams commit code simultaneously, and every commit is checked either by a central policy-as-code engine running in parallel, or by a single human reviewer working through a queue one commit at a time.

⚙ Under the hood

Dozens of engineering team nodes commit code simultaneously around a central OPA-style policy engine. Toggle policy-as-code (parallel, near-instant evaluation against rules like no-root-containers and mandatory bucket encryption) against manual review (a single reviewer node processing one commit at a time) and watch the backlog queue stay flat in one mode and grow without bound in the other as team count and commit rate increase.

Three.jspolicy-as-codeSDLCDevSecOpssecurity championsOPA

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install