Platform Platform
System
ConceptsEnginePolicy as codeDeclarationsSafe changeGatewaysIntegrationsObservabilityAdministrationSecurityHuman reviewAudit and evidenceData retentionSecrets and data classification
Controls
Registries and documentationAuthentication and authorizationInjection detectionData redactionCode fingerprintingRole and judge checksContent classificationSpend and loop limitsBusiness rules
Solutions Solutions
By what you do
Sell into the enterpriseControl the AI you run
By industry
Financial servicesDigital assetsInsuranceHealthcareLegalUser-generated content
By discipline
AI governanceTrust and safetyRisk and compliance
Cases Cases Embedded control planeSource-code leakTrading agents over MCPLive firehoseRefund assistant
Compare Compare LiteLLMNVIDIA NeMo GuardrailsOPAROOSTAgent Governance Toolkit
Resources Resources
Guides
Enterprise review questionsPrompt injectionAgent and control layerAgent architecturesDecision system mapAI control maturity model
Standards
Standards OWASP Agent Control StandardEU AI ActPMI AI standardNIST AI RMFERC-8004
Book a demo
Compare

A rules engine and a console, or the whole lifecycle around them.

ROOST is a nonprofit that publishes free, open-source trust and safety tools: Osprey, the real-time rules engine Discord donated, and Coop, a review console.

What ROOST is

Osprey evaluates rules on events as they arrive. Coop is where reviewers work the cases that those rules open.

What Swiftward does differently

Capability ROOST Swiftward
Rules a policy person edits, live Yes Yes
Reviewer queues and case management Yes Yes
Bring your own detectors, no lock-in Yes Yes
Runs on your own infrastructure Yes Yes
Versioned policy, rolled back by naming a version partial Yes
Backtest a candidate against your recorded history, verdict by verdict no Yes
Shadow-test a change on live traffic before it takes effect no Yes
A/B two policy versions on live traffic no Yes
Tamper-evident audit trail no Yes
Defend a past decision with the rule and the frozen version that made it no Yes
DSA Article 17 statement of reasons, generated from the decision no Yes
One deployment with SSO, row- and field-level access, multi-tenancy and support no Yes
The same engine also decides payments, claims and agent tool calls no Yes

The first four rows are equal, and they are the work a moderation team does every day. The other rows are about what a policy change costs you, and what you can prove afterwards.

What those rows mean in practice

You want to tighten a threshold. Here you write the candidate, run it over last month and read every account whose verdict flips, then put it in shadow on live traffic before it decides anything. On the open-source path you reason about the change, ship it, and watch the queue.

A user disputes a takedown eight months later. Here the decision record names the rule, the frozen version it ran on and the signals it read, in a tamper-evident record an auditor can verify. Rule history in a repository tells you what the rules were, not which one decided that account, and it does not prove the record is unchanged.

Your security review starts. Here it meets one binary plus Postgres, with SSO, access control down to the row and the field, multi-tenancy and secrets already in it, and a support line to call. With two components across several services, you set all of that up and answer for it yourself.

Beyond moderation

A platform that moderates content and also moves money governs both from one place, on the same records and the same review queues. Gateways for LLM, MCP, network, FIX and blockchain calls are part of the same binary.

Related: trust and safety here · the review queues · the other comparisons
Book a demo