Runtime as featured inForbesRead the article

Cybersecurity

Attackers automate. So should your defense.

A squad of cybersecurity agents watches your product activity and infrastructure logs around the clock, investigates threats, and hands your security team the evidence and a recommended response.

Book a demo
Start for free

Trusted by teams running mission-critical operations.

RainNixtlaMonoLineLeap
Search
security-ops
MessagesCanvasFiles
Today

APP 2:14 AM

Hourly scan: 9 accounts signed up in 40 minutes and now account for 6x normal compute. They share signup traits and run the same workload, which matches a pattern we blocked in August.

Scheduled run. Account list and queries attached.

Approval needed

Block 9 linked accounts

👀 3

APP 2:31 AM

Datadog webhook: one API key was used from 3 new countries in 10 minutes. It belongs to 2 of the 9 accounts flagged above.

Triggered by webhook. Key history attached.

Approval needed

Revoke 1 API key

DK2 repliesLast reply today

DK

Dev 8:05 AM

any other keys created from those accounts?

Message #security-ops

Aa

A cybersecurity squad, on watch around the clock

Agents run on a schedule, on alert heuristics, or from webhooks. They post threats to #security-ops with the evidence, recommend a block or revocation, and answer when your team tags them.

@mention an agent in any channel or thread. Click a channel or an agent in the window to explore.

Find the abuse before it finds your money.

AI makes attacks cheaper, more frequent, and quick to change. Fixed rules get probed and reverse engineered. Agents reason about the whole picture and adapt as attackers do, so your team plans for the worst case instead of reacting to it.

Adapt as attackers change

Catch new variants by intent, not signature. When tactics shift, update the agent’s skill in plain language the same day.

Watch around the clock

Agents run on a schedule, on alert heuristics, or from webhooks, so they find the threat before anyone has to ask.

Act with approval

Recommend blocks, key rotations, and access revocations. Enforcement runs through the authority you define.

From one odd signup to the wider campaign.

Connect the accounts behind the activity

Compare signup metadata, usage, and infrastructure logs across tenants using scoped, read-only access.

DatadogGoogle CloudPostgres
Evidence · security-agentready for review
Read the usage alertCompute usage 6x the weekly baseline
Pulled overnight signups9 new accounts in 40 minutes
Checked infrastructure logsSame workload pattern across all 9
Compared against prior casesMatches a pattern blocked in August
Prepared the findingsEvidence and proposed blocks attached

Evidence before enforcement

Post the findings where your team works. Account blocks and credential changes wait for a human sign-off.

SlackPagerDuty
Awaiting your team

Linked accounts showing abuse pattern

Security case S-207 · 9 accounts linked by observed activity

Review security findingsRequest changes
Signup and usage pattern documentedobserved
Linked account list attachedscoped
No accounts blockedapproval required

Work from the logs and signals you already have.

Agents read from your existing observability and product data and report back in the channels your team already watches. Systems shown are examples; connector availability, API access, and permissions are confirmed during setup.

Signals and logs

Where the investigation begins

Read alerts, activity logs, and infrastructure events from your permitted monitoring sources.

Datadog
Google Cloud
Sentry
PagerDuty
Investigation context

Where patterns become visible

Compare activity with account records, code changes, and prior cases, then report in the team’s workspace.

Postgres
BigQuery
GitHub
Slack

How Runtime works

Start with one abuse pattern your team already chases by hand, and define what the agent checks before anyone acts.

01

Build the squad

Give each agent one job, like signup abuse, key misuse, or data access, with its own skills and escalation rules.

02

Connect the signals

Scope read-only access to activity logs, infrastructure events, and account metadata.

03

Make it proactive

Run on a schedule, on alert heuristics, from webhooks, or when tagged in Slack, recording every query and source.

04

Approve the response

Review recommended blocks or revocations and apply them through your existing process.

Book a demo

Defenders with bounded authority.

Read about our security
AuditedSOC 2Compliant

Read-only by default

Give the agent its own scoped service account. Revoke it in one step if you ever need to.

Human-led enforcement

Separate investigation permissions from account blocks, key rotations, and rule changes.

Hardened against prompt injection

Logs are treated as evidence, never instructions. Egress allowlists, command deny lists, and hooks contain a poisoned record.

Cybersecurity: common questions

01Is this one agent or many?
Many. Each agent owns one job, such as watching signups, monitoring API keys, reviewing data access, or investigating an alert, and they hand off in a shared Slack channel. Together they work like a defense squad for your business, and you add agents as new threats appear.
02Do the agents wait to be asked?
No. Schedule them to review activity every hour, trigger them when a heuristic or alert fires, or start them from a webhook. Your team can still tag any agent in Slack with a question.
03What kinds of abuse can a security agent investigate?
Common starting points are bulk account creation, accounts sharing attributes across tenants, unusual API or resource usage, credential misuse, and anomalous data access. Pick one pattern your team already investigates by hand.
04Does this replace our SIEM or monitoring tools?
No. Your existing alerts and logs trigger and feed the investigation. The agent does the research a person would do after an alert fires, and records how it reached its findings.
05Can an agent block a user automatically?
Only if you explicitly enable that action. Most teams start with recommendations posted to Slack and keep blocks and revocations behind a human approval.
06Why not just use deterministic rules?
Keep them as a fast first line. But a fixed threshold can be probed until attackers learn to stay under it. An agent looks at the whole picture, catches variants that share intent but not signature, and adapts when you update its skill, instead of waiting for a new rule to ship.
07Can attackers trick the agent with prompt injection?
They will try, by hiding instructions in usernames, request bodies, or tickets. Defenses are layered: skills that treat log contents as evidence, read-only credentials, a network egress allowlist, command deny lists, hooks that check each tool call, and human approval before any action.
08Can the agent watch our own internal tools, like MCP servers?
Yes, if they produce logs. An agent can review access logs on a schedule and flag queries that look like someone pulling data they should not.
09What should we measure in a pilot?
Replay historical incidents and compare time to a useful finding, evidence completeness, and false escalations. Evaluate those results before enabling any automatic action.

Implementation guide

How to Build a Squad of AI Cybersecurity Agents for Your Fintech

A practical walkthrough with example prompts, scoped access, and human approvals.

Read the guide

Explore more for payment and risk ops

Payment operationsPayments supportPartner-bank requestsUnderwriting, KYB and KYCFraud and transaction monitoringCompliance

Put a cybersecurity squad on watch.

Watch agents catch suspicious accounts on a scheduled run, connect them across your logs, and prepare the findings for your security team.

Book a demo
Start for free