Employee communications run at enterprise scale. Compliance can't wait for overnight batch jobs.
Your surveillance system reads rules. Ours reads behavior. Every message scored against your full policy library in under 100ms — while it's in flight, not the next morning.
The floor didn't move. The enforcer did.
in off-channel communications penalties (SEC ~$2.3B + CFTC ~$1.2B). The recordkeeping rule is unchanged — and was upheld in court in February 2026.
is now the dominant lever — cooperation credit cut one firm's penalty to $600K versus peers' $8.5M. You can only self-report what you can detect.
is the named control in OWASP's 2025 Top 10 for Agentic Applications. The standards bodies now name the category Compiled built.
Pre-built antibodies for the frameworks your legal team cares about.
Electronic communication recordkeeping and surveillance for registered broker-dealers.
Written supervisory procedures for review of electronic communications.
Systems and controls requirements for UK authorised firms under SYSC 10A.
Communication recording and surveillance obligations for investment firms.
Administrative safeguards for PHI handling in electronic communications.
Transparency obligations for AI systems interacting with natural persons.
These texts contain no keywords. Keyword-based surveillance scores them 0.00. Compiled scores them correctly.
"Forward this to my personal email before the announcement"
"If everyone buys at 9:31 we can move the price significantly"
"I can get you better terms if we handle this off-book"
"Did you hear about the pending merger? Strictly between us."
Scores from the production insider-trading detector. Trained entirely on synthetic data.
Three architectures. One winner on every dimension that matters.
| Aspect | Rule-Based | LLM-Based | Compiled |
|---|---|---|---|
| Scan speed | Batch / overnight | 300ms – 2s | <100ms |
| Data egress | On-prem or cloud | Vendor servers | Zero — your environment |
| Setup time | 3–6 months | 2–4 weeks | 2.1s per policy |
| AUC accuracy | ~0.70 (keyword) | 0.85 – 0.93 | 0.995 |
| Network effect | None | None | 0.74 → 0.86 AUC |
| Audit trail | Rule ID only | Opaque LLM output | Score + antibody version |
| Runtime dependency | Rule engine | LLM API (external) | None — local matmul |
Our insider-trading detector was trained entirely on synthetic data. Tested blind against real SEC/DOJ enforcement communications versus real Federal Reserve and earnings call transcripts.
No messages touch our infrastructure. The scanner runs in your environment, alongside your email gateway.
We'll run your own communication samples through the scanner — with no data leaving your environment.
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