Your engineers are adopting AI coding tools, or about to. Symbiotic gives you non-bypassable policy enforcement and audit-ready proof for every AI-assisted change, without becoming the department of no.
AI usage is happening across your org. But there is no reliable way to answer the questions auditors are already asking: which tools are allowed, who used them, what code was AI-written, what checks ran, and who approved it.
"If an auditor asks how we control AI-assisted code changes, I need more than a policy document. I need proof that the policy was enforced, who triggered it, and what evidence was generated."
AI-assisted code ships with no reliable record of which tool was used, what checks ran, or who approved it. When the auditor asks for evidence, your team scrambles through spreadsheets and screenshots.
If guardrails are not enforced in the workflow, teams route around them to ship. Prompting an AI tool harder is not a control. A policy document developers can ignore is not governance.
Your existing scanners find issues after the fact, but they do not enforce company-specific standards before code exists. You still need the enforcement and proof layer on top.
Whether you are proving compliance to auditors, reporting risk to the board, or navigating the speed-vs-safety tension with engineering, Symbiotic gives you the controls and evidence you need.
Your board asks "are we safe to scale AI coding?" and your auditor asks for proof of controls. Symbiotic gives you org-wide enforcement visibility and the evidence to answer both instantly, without assembling it manually each quarter.
You are reviewing PRs across dozens of developers writing 2-3x faster with AI. Symbiotic enforces policies at the IDE level with prehooks and posthooks, so violations are stopped before they reach your review queue.
You spend days before each audit cycle assembling evidence from Jira tickets, Slack threads, and spreadsheets. Symbiotic generates audit artifacts for every AI-assisted change by default. Evidence assembly drops from days to minutes.
You are rolling out Copilot or Cursor company-wide and security wants controls that will not slow your teams down. Symbiotic's enforcement happens inline in the IDE, reducing review loops and rework instead of adding new ones.
Symbiotic generates a complete audit trail for every AI-assisted code change. No manual evidence collection. No scrambling before review cycles.
Your team likely has policies and scanners already. Symbiotic adds the enforcement and proof layer that makes those controls non-bypassable and audit-ready.
These are the metrics security leaders use to define success with Symbiotic. Baseline measurements are established during the POC.
Security teams typically spend days assembling audit evidence manually. Symbiotic generates it by default for every AI-assisted code change, targeting a 50-80% reduction in preparation time.
Move from unknown or inconsistent tracking to near-complete coverage. Target: every AI-assisted pull request logged with the full governance chain.
Fail-closed enforcement stops secrets, PII leakage, and prohibited patterns before they exist in the codebase. Target: near-zero escapes instead of periodic near-misses.
Every enforcement action maps to a specific control requirement across the frameworks your organization is measured against.
Symbiotic Flow provides reporting on every vulnerability detected, remediated, and verified. Every AI-assisted code change is tracked with full attribution: AI tool used, policies enforced, pass/fail status, and exception approvals. Map directly to control requirements without manual evidence collection.
See how Symbiotic enforces AI coding policies, produces audit-ready evidence, and gives your security team control without blocking engineering.
