01
Linters don't think
Static analysis catches patterns. It cannot reason about what happens when amount is -9999, or what breaks when two threads collide on the same record.
Syntinel reviews every Pull Request with adversarial AI — generating tests designed to break your code, running them in a secure sandbox, and blocking the merge if something fails.
def process_payment(amount, user_id): # charge the connected account charge = stripe.Charge.create( amount=amount * 100, currency="usd", customer=user_id, ) return charge.idAI-generated code ships fast and introduces subtle bugs the linter was never designed to catch. Human reviewers skim for obvious issues. CI tests only what you remembered to test — not the edge cases an attacker will find first.
Static analysis catches patterns. It cannot reason about what happens when amount is -9999, or what breaks when two threads collide on the same record.
Developers write tests for the code they meant to write. Adversarial edge cases — the ones attackers reach for first — stay uncovered until production finds them.
A failed pipeline 10 minutes after push is a broken flow. Context has switched. The branch is polluted. The cost is measured in reviewer time, not compute.
A developer opens a pull request. Syntinel receives the GitHub webhook within milliseconds and begins review before the author finishes the description.
The diff is sent to a purpose-built code model that reviews logic, data flow and security boundaries from an attacker's perspective — not a grader's.
Syntinel writes adversarial test cases tailored to the diff and executes them inside an isolated sandbox. Your code is attacked — with your own dependencies — before it ships.
Findings are posted inline on the PR with severity, evidence and a fix suggestion. Criticals block the merge. The team sees exactly what failed and why.
Installs in sixty seconds. Every PR reviewed automatically — merge-blocking on critical findings, team-wide security posture with zero configuration.
Run before you commit. Catches issues in seconds on your machine, in your environment, against your real dependencies — no network round-trips, no waiting on CI.
Three real files. Three findings Syntinel caught before merge. Click a tab.
from stripe import Chargefrom .db import conndef process_payment(amount, user_id): # Charge the user's card cents = amount * 100 charge = Charge.create( amount=cents, customer=user_id ) return charge.iddef find_txn(user_id, ref): cur = conn.cursor() # Lookup by reference cur.execute(f"SELECT * FROM txn WHERE ref='{ref}'") return cur.fetchone()import hashlibdef hash_password(pw): return hashlib.md5(pw.encode()).hexdigest()def verify(user, pw): stored = users.get(user) if not stored: return False return hash_password(pw) == stored.passwordfrom flask import Blueprint, requestbp = Blueprint("auth", __name__)@bp.route("/login", methods=["POST"])def login(): body = request.json or {} u = body.get("user") p = body.get("pass") if verify(u, p): return issue_token(u) return {"error": "bad creds"}, 401# TODO: rate limit — no throttle on this routefrom flask import Flask, request, jsonifyapp = Flask(__name__)@app.route("/compute", methods=["POST"])def compute(): body = request.get_json() expr = body.get("expr", "") # Quick-and-dirty calculator endpoint try: result = eval(expr) except Exception as e: return jsonify(error=str(e)), 400 return jsonify(result=result)Rolling 90-day telemetry across beta teams. Every finding is an issue a human reviewer or CI pipeline missed.
Free for individual developers. Flat fee for teams. Everything billable has a clear ceiling.