Work every alert
before it’s a loss.
Trusted by teams running mission-critical operations.
Risk grows with every transaction. Teams don’t.
Fraud, compliance, security, and merchant risk each work a separate queue in separate tools.
Queues outgrow the team
Alerts rise with volume, and analysts spend their time gathering evidence instead of deciding.
Rules get probed
Attackers keep testing fixed thresholds until the next variant slips under them.
Every decision needs proof
Partner banks and regulators expect the evidence behind every block and filing.
Four teams, one harness.
Start with the queue that costs you the most. The same connectors, controls, and record of work carry to the next team.
Fraud and transaction monitoring
Triage alerts, cut false positives, and trace the transactions behind each one.
Compliance
Turn AML alerts and card-network notices into case files your analysts can inspect.
Cybersecurity
Watch product and infrastructure logs around the clock and recommend a response.
Merchant and portfolio risk
Re-review merchants on a schedule and flag drift before it turns into losses.
One harness, one picture of risk.
The same bad actor often shows up as a fraud alert, a screening hit, and a signup spike. On Runtime, every team works from the same memory and the same record.
- 01
One memory across teams
An account flagged in a fraud review is already in context when compliance opens it.
- 02
One record of work
Every query, source, and approval is stored with the run, ready for auditors and partner banks.
- 03
Skills that sharpen with every case
Agents learn from resolved cases and propose updates to their own playbooks.
Autonomy you grant, step by step.
Start with investigation only. Filings and anything permanent always stay with your team.
- 1
Investigate
Agents work every alert.
Your team · Decides each case
- 2
Recommend
Agents propose the next step.
Your team · Approves each action
- 3
Act on reversible steps
Like holds or step-up checks.
Your team · Approves closures
- 4
Verify and report
Agents confirm it worked.
Your team · Reviews exceptions
ComplianceBeta
A risk register for your agents.
Each agent is scored 0 to 100 by what it can reach and how it runs, before and after your controls. Every run, approval, and grade lands in an audit log.
- Scored before and after controls
- Audit log of every run
- CSV evidence export
Controls mapped to NIST AI RMF, ISO 42001, EU AI Act, and SOC 2.
See it on your agentsmerchant-risk-agent
7236Mediumcompliance-investigation-agent
6432Mediumfraud-risk-agent
4522Mediumsecurity-agent
4819Low
Bounded authority, across every team.
Read about our securityResearch apart from enforcement
Agents investigate with scoped, read-only access. Blocks, closures, filings, and rule changes wait for the approvals you define.
Sensitive data stays private
Card numbers, SSNs, and secrets are masked before any prompt or log. For the most sensitive work, run open-weight models inside your network.
Your cloud, your models
Run agents in your own AWS, GCP, or Azure account, or self-host the platform. SOC 2 audited, and we never train on your data.
Protecting the business: common questions
01Do we need to replace our fraud, AML, or security tools?
02Which team should we start with?
03Can agents take action on their own?
04How do fraud, compliance, and security share context?
05Does Runtime make regulatory decisions?
06What should a pilot look like?
Start with the queue that costs you most.
See agents work a fraud alert, an AML case, and a security incident, and prepare each one for your team’s decision.