Your algorithms trade. Your governance doesn't.
Trading algorithms execute thousands of orders per second across global venues. Regulators require pre-trade risk controls, kill switches, and continuous monitoring. DORA is enforced. MiFID II Article 17 mandates effective systems. SEC Rule 15c3-5 requires annual CEO certification. The compliance gap between what algorithms do and what governance covers is widening.
Self-hosted by design. Bring your own model, bring your own key -- your trade orders + market data + alpha stays in your infrastructure. Agentomy never proxies, never hosts, never sees the data plane. sovereignty model →
Algorithmic trading without governance
Knight Capital lost $440M in 45 minutes. Archegos collapsed with $10B+ in losses across counterparties. The 2010 Flash Crash erased $1T in market value temporarily. In every case, the algorithm worked as coded. What failed was governance -- no behavioral monitoring, no position aggregation, no kill switch that couldn't be overridden.
Every trading platform governs the algorithm's output: fill rates, latency, throughput. No platform governs the algorithm's behavior: strategy drift, position concentration, order velocity anomalies, spoofing patterns. Agentomy closes that gap.
12 detection patterns mapped to real incidents and real regulations
Every pattern references a documented incident, a specific regulatory requirement, and a concrete detection method. The behavioral monitor includes 9 core methods available in every deployment and 31 vertical-specific methods (including 5 algo-trading-specific detection methods) with fleet infrastructure. The full 40-method monitor runs continuously across the trading lifecycle. No theoretical threats. No generic compliance language.
5 governance layers for the algorithmic trading lifecycle
Each layer enforces one aspect of trading governance -- from individual order validation to fleet-wide emergency halt across all venues.
8 frameworks, 42 controls, real enforcement deadlines
Every control mapping references the actual regulatory document. No generic compliance language. All mappings are self-assessed, pending external validation.
| Framework | Controls | Scope |
|---|---|---|
| SEC Rule 15c3-5 | 6 | Pre-trade risk controls for broker-dealers. Erroneous order rejection, capital threshold prevention, annual CEO certification. 17 CFR 240.15c3-5. |
| MiFID II Article 17 | 7 | Effective systems and risk controls for EU algorithmic trading. Resilience, capacity, erroneous order prevention, MAR compliance, pre-production testing. EU Directive 2014/65. |
| DORA (EU 2022/2554) | 6 | Enforced January 2025. Trading algorithms as ICT systems. Continuous monitoring, anomaly detection, 4-hour incident reporting. Penalties up to 2% of global annual turnover. |
| FINRA Rules 3110/3120 | 5 | Supervisory systems for algorithmic trading. Written procedures, annual internal inspection, annual CEO/CCO certification, erroneous execution review. |
| CFTC Regulation AT (Proposed) | 5 | Derivatives market algo trading. Max order message frequency, max execution frequency, order price/size parameters, kill switch requirement. Proposed Rule 1.83. |
| IOSCO 2025: AI in Capital Markets | 6 | First international framework for AI in capital markets. Explainability testing, fraud susceptibility, unfair bias testing, periodic re-testing, enhanced recordkeeping. |
| SEC AI Guidance 2024-2026 | 3 | Predictive data analytics conflict neutralization, AI trading audit trails, AI model independent validation. Staff guidance and proposed rules. |
| EU AI Act (Aug 2026) | 4 | High-risk AI classification for trading systems in Annex III domains. Effective August 2026. Penalties up to 7% of global annual turnover. |
$16B+ in documented losses from ungoverned algorithms
Detected by: Order Velocity, Deployment Gate, Circuit Breaker Halt
Detected by: Position Concentration, Cross-Venue Exposure, Strategy Drift Detector
Detected by: Liquidity Withdrawal, Spoofing Pattern, Circuit Breaker Halt
Four entry paths to governed trading
Connect any trading platform through the protocol that fits your infrastructure. Gate mode for pre-trade authorization. Observer mode for post-trade monitoring. Both modes produce the same audit trail.
20 algo trading governance scenarios. Run it yourself.
Suite 7: Algorithmic Trading Governance. 20 self-contained, idempotent scenarios across 4 coverage areas: authorization (5), audit trail (5), circuit breaker (5), and behavioral monitoring (5). Every scenario runs against the live governance layer. No mocks. No stubs.
What we are and what we are not
- Pre-revenue. No production trading deployments. Adapters validated through tests and benchmarks, not live trading systems.
- All compliance mappings are internal self-assessments. No independent audit or third-party certification has been conducted.
- Detection patterns are validated against documented historical incidents, not real-time market data feeds.
- The sub-20ms fleet halt is measured in test environments. Latency in production trading infrastructure will vary based on network topology and co-location.
- Rule-based algorithms are carved out of OCC model risk requirements (SR 11-7). AI-enhanced trading algorithms require full model risk management.
- GovernanceBench scenarios test the governance layer, not trading strategy performance. Governance is not a substitute for risk management.
Three commands to governed trading
Govern your algorithms before regulators do it for you.
DORA is enforced. MiFID II Article 17 requires effective systems. SEC Rule 15c3-5 requires annual CEO certification. The compliance gap is closing.
Request Access