A Portfolio Is a Moving Target
A portfolio rarely becomes dangerous in one dramatic move. Risk usually accumulates quietly: one asset outperforms, a position becomes too concentrated, liquidity weakens, a cash buffer disappears, or yesterday’s acceptable exposure becomes too large for today’s volatility.
This matters more as financial assets become programmable.
In a 2025 workshop co-hosted by OSFI and the Bank of Canada, 44% of participants identified autonomous AI systems as the most likely current source of AI-related systemic risk in finance.
Silvana’s Risk-Aware Portfolio Agents are designed for this new environment.
They continuously monitor tokenized portfolios, enforce owner-defined risk policies, prepare portfolio actions, and coordinate their execution without taking control of the underlying assets.
✅ Explore these agents in Silvana’s Agent Space and see how they can support your portfolio workflows.
From Risk Signal to Settlement
In Silvana, risk-aware agents monitor different parts of a portfolio and respond according to configured policies rather than following one fixed execution path:
- Monitor: Portfolio positions, balances, orders, and settlement states are continuously observed.
- Detect: Agents identify concentration changes, exposure breaches, inventory build-up, failed settlements, and other configured conditions.
- Assess: Each signal is checked against portfolio policies and risk thresholds.
- Respond: The workflow may issue an alert, block or cancel an order, recommend rebalancing, trigger a hedge, or produce a rotation signal.
- Continue Monitoring: Agents track the updated state and remain ready to respond as conditions change.
If a risk response requires a trade, the approved order is submitted via the Silvana API, privately matched by Silvana Book, and then proceeds to atomic DvP settlement on Canton.
ℹ️ Silvana’s prepare–verify–sign–execute model keeps execution within defined boundaries. Signing authority remains with the user or application, so portfolio automation does not require unrestricted custody or blind transaction approval.
Inside Silvana’s Risk Toolkit
No single agent can catch every way a portfolio may drift off course.
We split risk control across specialist agents that can be combined around the portfolio, market, and execution model in use.
The agent examples below cover several core functions, while the broader agent set extends into liquidity, settlement, compliance, recovery, and additional controls:
- Concentration Risk: Keeps each instrument within defined portfolio limits.
- Inventory Risk: Detects directional inventory build-up and can trigger hedging.
- Risk Exposure: Tracks portfolio value, open notional, and pending settlement exposure.
- Risk Management: Checks strategy actions against user-defined risk limits.
- Yield Rotation: Identifies stronger opportunities based on risk-adjusted carry.
- Risk Alert: Flags breached thresholds, failed settlements, and excessive exposure.
✅ How to apply: Choose the agents you need, deploy their code, configure your limits, and connect them to your workflow.
Build a Portfolio That Watches Itself
Risk-aware portfolio management is not about giving an agent unlimited freedom. It is about turning portfolio rules into enforceable decisions that can be monitored, verified, and executed without losing control.
This is only the beginning: explore Agent Space to discover what's already available and imagine what your own agents could do next.
