Secure AI code generation

Ship faster.
Break less.
Skip the rework.

Security feedback that arrives after merge is just expensive rework. Symbiotic catches issues during generation and gives you fixes you can actually apply.

No credit card  ·   SOC 2 Type II  ·   Works with Copilot & Cursor
payment_service.py
12 def get_invoice(invoice_id):
13     query = f"SELECT * FROM invoices WHERE id={'{invoice_id}'}"
  ⚠ SQL injection · CWE-89

  # Symbiotic fix applied
13     query = "SELECT * FROM invoices WHERE id = %s"
14     params = [invoice_id]
  ✓ Fixed · diff ready

Late security feedback
is just rework with extra steps.

01
You ship under pressure

AI generates the code. It looks right. Reviewer approves. It merges.

02
Finding lands after the fact

SAST fires. Security files a ticket. You get a Jira notification three sprints later with a vague CWE number and no context.

03
The fix is your problem now

No diff. No context. Just a CWE number and a one-liner. You spend 3 hours figuring out what they actually want.

04
Same pattern next sprint

Nothing changed upstream. AI generates the same unsafe pattern again. Cycle repeats.

3hrs

Average time spent per late-stage finding — translating vague CWE descriptions into an actual code fix.


This isn't a discipline problem. It's a timing problem. The only fix is catching issues before they make it into your branch.

— Symbiotic research, 2024

Guardrails during generation.
Fixes before you commit.

Instead of scan-after-merge, Symbiotic runs four steps during generation. The output that reaches your IDE is already cleaner.

01
🛡

Guard

Your team's security policies become constraints on what gets generated. Unsafe patterns can't be produced in the first place.

02
🔍

Check

Every line is scanned in real time during generation. CWEs, known CVEs, secrets, bad dependencies. Before the code exists in your repo.

03

Fix

When something is flagged, you get a concrete diff with context. Not "SQL injection risk." A parameterised query replacing the unsafe line.

04

Clear

Output is validated against policy before it lands in your editor. You review the diff and commit. You're still in control.

The patterns AI gets
wrong most often.

These aren't obscure edge cases. They're the patterns that show up repeatedly in AI-generated code across languages and frameworks.

Injection
Unsafe string concatenation in queries

AI defaults to f-strings in SQL and shell commands. Fast to write, reliable to exploit.

f"SELECT * FROM users WHERE id={'{user_id}'}"
+"SELECT * FROM users WHERE id = %s", [user_id]
Secrets
Hardcoded credentials and API keys

During scaffolding and refactors, AI embeds keys directly in source. One git push and they're exposed.

api_key = "sk_live_4xKj8mN..."
+api_key = os.environ["STRIPE_API_KEY"]
AuthZ
Missing ownership checks on objects

AI fetches by ID without validating the requesting user owns the resource. Classic IDOR, extremely common in AI-generated API handlers.

invoice = Invoice.get(invoice_id)
+invoice = Invoice.get(invoice_id, owner_id=current_user.id)
Defaults
Insecure framework defaults left in place

Debug mode on, CORS wildcard, CSRF disabled. AI scaffolds the happy path. Security config comes later — usually too late.

app.run(debug=True, host="0.0.0.0")
+app.run(debug=False, host="127.0.0.1")

What changes in your sprint.

The same feature. The same deadline. Less rework on the way out.

Stage Without Symbiotic With Symbiotic
Write feature with AI Injection risk, hardcoded key, no ownership check. All generated confidently. Symbiotic flags the injection risk inline. Offers the parameterised version. You accept, move on.
PR opens Reviewer approves. No one flags the security issues. Merges Friday afternoon. Already clean. Reviewer focuses on logic and architecture. Merges Friday.
CI runs SAST fires Monday. 3 findings. Vague descriptions. Two days into the next sprint. Safety net scans pass. No new findings. Monday sprint starts fresh.
Outcome Half a day lost. Context switch, translation, re-review, retest. Ship date slips. Ship date holds. No rework. No context switch. No postmortem with your name in it.

Real feedback from
real engineers.

The diff-not-a-warning approach is the thing. I don't want a CWE number. I want the actual fix. Symbiotic gives me that without interrupting the flow.

We were seeing the same IDOR pattern show up every other sprint. It stopped the week we turned Symbiotic on. That was enough proof for me.

I was skeptical about adding another tool. But it wraps Cursor, so my workflow didn't change. I just stopped getting security tickets from AppSec.

What developers ask
before trying it.

You don't add it on top of your AI tool. It wraps it. The generation flow you already use gets guardrails applied before output reaches you. Same workflow, cleaner output.
Checks run during generation, not as a gate before you can type. Sub-500ms in production. The time you save not fixing late-stage issues is significantly larger than any overhead in the IDE.
The goal is to help you ship without getting dragged into postmortems. This isn't a monitoring tool. It's a generation guardrail. Your team's AppSec lead configures the policies. You just write code.
If it's wrong often enough, you stop using it. The bar is simple: only flag what's actually wrong, and give a concrete fix. Not a CWE number and a wiki link. An actual diff.
One week. One feature.

Try it on a real feature this week.

No sales call. No setup overhead. Pick something real and measure what changes. Free to start, stop anytime if it doesn't make your sprint cleaner.

Free tier available · SOC 2 Type II certified · Works with Copilot, Cursor, ChatGPT