Beyond BI

The same verifier, on your security logs.

Cybersecurity is a ~$240B market and breaches cost the world ~$10.5T a year — yet ~90% of security alerts are false positives and a large share go uninvestigated entirely. The hard part isn’t more findings; it’s knowing which are real. The engine that never serves a wrong KPI runs on security data too: trustworthy counts and rates over real intrusion logs, refusing what it can’t confirm.

Verified counts, not vibes

Ask “how many intrusion events” or “how many Neptune (DoS) events” over your logs and every figure is independently re-derived and proven — the same double-compute guarantee as the BI engine.

Refuses what it can’t confirm

Ask it to “predict the next attack” and it refuses — prediction has no ground truth to verify. Verified security analytics, not zero-day prophecy.

On-prem, on your data

Runs inside your VPC against your own security logs. Your data never leaves your environment; neither Octonoc nor the model vendor can see it.

Proof · which findings are real

We flag the real ones, not the noise.

Most scanners flag everything that pattern-matches — then a security team burns the day triaging false positives (industry-wide, roughly half of alerts are noise). Verify-or-refuse inverts that: it suppresses what is provably not a problem and surfaces only what the evidence proves. Here is a worked example on a synthetic code repository — every line is a real distinction a good auditor must make:

Suppressed — provably not a problem

  • A secret in a test fixture or redaction-test corpus — not a leak
  • model.eval() (PyTorch) — a method, not the eval() code-execution builtin
  • The word “eval” inside a comment or docstring — not executable code
  • A build-time NEXT_PUBLIC_* env var into fetch() — operator config, not attacker input
  • innerHTML = "" or a static string — not an injection

Flagged — proven from the evidence

  • A hardcoded production credential
  • eval() of an HTTP request parameter
  • SQL built by concatenating request input
  • A dynamic value assigned to innerHTML

Same rule as every number on this site: a finding is shown only when it can be proven from the evidence — otherwise it is refused. The distinctions above are deterministic and reproducible, not a vendor confidence score.

Verified security analytics — not zero-day prophecy.

Try it — pick “Network security” in the demo →← Back to Octonoc