Controls & Monitoring
AI Agent Risk Monitor
Monitors agent actions for risky or unexpected behavior.
Controls & Monitoring
AI API Security Monitor
Unusual traffic, abuse patterns and unauthorized access attempts on your API endpoints are flagged and routed to your team.
Your APIs are open doors, and abuse rarely announces itself. This monitor learns what normal traffic looks like for each endpoint you name, then watches for spikes, repeated failed logins, unfamiliar sources and scraping. Findings are ranked by severity and sent to Slack or Jira so the right person can act. It never changes your code or blocks traffic on its own.
- A traffic baseline set for every endpoint in scope
- Spikes, failed logins and scraping flagged as they happen
- Severity-ranked alerts routed to Slack or Jira
$5,400
20–30 working days
Optional maintenance $270/mo
What it is
AI API Security Monitor is an agent that watches traffic to your API endpoints for unusual patterns, abuse and unauthorized access attempts, then alerts your team when something falls outside normal behavior. It focuses specifically on API traffic, not application code or the content passing through it.
Why businesses buy it
Abuse on an API usually shows up first as a bill, an outage or a customer asking why their data appeared somewhere. By then the pattern has run for days. Gateway logs hold the warning signs, but nobody has time to read them. This monitor reads them for you against a baseline built from your own traffic, so alerts mean something. The written scope lists the systems covered and the monitors configured, so the decision is clear from the start.
Problems this solves
Abuse of your API goes unnoticed until something breaks
The agent watches traffic to your API endpoints for unusual patterns and abuse. Your team is alerted as soon as activity falls outside normal behavior.
Unauthorized access attempts hide in large volumes of API logs
Instead of someone reading logs by hand, the monitor looks for unauthorized access attempts. Suspicious requests are surfaced as alerts your team can act on.
Scrapers or bots hammer endpoints and drive up costs
Unusual traffic patterns, such as sudden bursts from one source, are flagged. You can respond before heavy misuse starts to affect performance or your hosting bill.
Security tools watch code but nobody watches API traffic
This monitor focuses only on API traffic, not code or content. It covers the gap between application scanning and what actually hits your live endpoints.
A good fit if
Your product exposes one or more APIs, either to customers, partners, or internal systems, and you want traffic-level visibility.
You want unusual patterns caught, such as a sudden spike in requests, repeated failed authentication, or traffic from unfamiliar sources.
You already log API activity somewhere, such as cloud provider logs or an API gateway, and want that watched systematically.
You want alerts routed to Slack or Jira rather than a dashboard someone has to remember to check.
Not the right fit if
Your concern is sensitive data appearing in outputs or logs, not the traffic patterns around it; see AI Data Leakage Monitor.
You want monitoring across your systems generally, not focused specifically on API endpoints; see AI Security Monitoring.
You want to control which people or systems can call which APIs, not just watch traffic; see AI Access Control System.
You want a one-time review of your API security posture rather than ongoing traffic monitoring; see AI Security Audit.
How it works
- We connect to your API gateway and cloud provider logs. This gives the monitor visibility into requests reaching the endpoints you name, without needing changes to your application code.
- A baseline of normal traffic is established per endpoint. Typical request volume, common sources, and expected authentication patterns are recorded so deviations from it are meaningful, not guessed at.
- Traffic is watched against that baseline continuously. Sudden spikes, repeated failed authentication attempts, requests from unfamiliar IP ranges, and scraping-like patterns are the kinds of things it is tuned to catch.
- Findings are ranked by severity, not treated as equal noise. A single unusual request looks different from a sustained pattern that matches known abuse behavior, and the monitor reflects that difference.
- Alerts route to Slack or Jira as they happen. Whoever owns API operations sees the flag with enough detail to investigate, rather than discovering it days later in a log review.
- A periodic traffic report rounds out the picture. Alongside real-time alerts, you get a written summary of what the monitor saw over the period, useful for spotting slower-building trends.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Written authorization confirming which APIs and systems we may monitor.
- The list of API endpoints and systems you want in scope.
- Any existing traffic or rate-limit policies you already follow, even informally.
- Read access to your API gateway and cloud provider logs, as needed.
- A named IT or security owner who can investigate flagged traffic after launch.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One decision-maker who can approve the alerting thresholds and sign off the launch.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
APIs, scope and alerting thresholds confirmed.
Weeks 1–2
Traffic monitoring built and the normal baseline established.
Week 3
Gateway, log and alerting connections completed.
Weeks 3–4
Documented test scenarios run and results sent to you.
Week 4
Your review and two rounds of changes to the thresholds.
Go-live
Live, recorded handoff session, 30 days of support begin.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,400 |
| Express | 15–25 working days | $6,200 |
| Rush | 10–20 working days | $7,000 |
What you receive at handover
- An API traffic monitor across up to three systems or AI applications
- Up to five monitors or alert rules for unusual patterns, abuse and unauthorized access
- Alerts to your team, viewable in an admin console or written report
- A control test log from testing
- An admin guide, a recorded handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- API misuse can be spotted early.
- Your team can respond to alerts rather than searching logs.
- Abusive load may be caught before it hurts service.
- Alerts raised and confirmed
- Count alerts in the console each month and how many were real issues.
- Time to respond
- Log alert time and first response time in your incident tracker.
- Flagged request volume
- Compare flagged or blocked requests per month from your gateway or the monitor.
Before you start: Record normal API traffic levels and any past abuse incidents. Note how your team finds out about API problems today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the monitor costs roughly $20 to $300 a month in your own accounts, for hosting, logging and the monitoring tools it relies on day to day.
AI model usage during the build and testing is billed the same way, directly to your accounts, so you keep ownership of every provider relationship involved.
Ask about running costsCustom requirements
If you need something outside the Scope Card, such as monitoring across more than three APIs or systems, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
We recommend monthly maintenance, which covers monitoring and a monthly allowance of change hours for things such as tuning alert thresholds or adding an endpoint. It starts after the 30 days of included support and can be cancelled any month.
$270/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An API monitoring platform charges per request volume, monthly | A security firm quotes after a scoping call | Ours is one fixed price, shown on this page before you buy |
| Scope | An API monitoring platform applies generic thresholds across all customers | An agency agrees scope during the engagement | Ours is tuned to your own traffic baseline |
| Delivery | An API monitoring platform still needs weeks of tuning to be useful | A security firm engagement often takes weeks to schedule | Ours has a fixed delivery time shown before you buy, with faster options |
| Routing | An API monitoring platform sends alerts to its own dashboard | An agency delivers reports on its own schedule | Ours posts alerts to your Slack or Jira as they happen |
| Guarantee | An API monitoring platform may market a detection rate figure | An agency build depends on what was agreed | Ours flags anomalies; no monitor catches every abuse pattern |
Questions about this product
What kinds of things does AI API Security Monitor actually flag?
It flags traffic that deviates from your endpoint's normal baseline, such as a sudden spike in request volume, repeated failed authentication attempts, requests from unfamiliar IP ranges, and patterns that resemble scraping or abuse. Each flag is ranked by severity rather than treated as equally urgent noise in a long list.
How is AI API Security Monitor different from AI Data Leakage Monitor?
This monitor watches API traffic patterns, such as volume and source, to catch abuse and unauthorized access attempts. AI Data Leakage Monitor watches the content of outputs and logs for sensitive data exposure. One is about how your APIs are being called; the other is about what is leaving through them.
Does it require changes to my application code?
No. It connects to your API gateway and cloud provider logs to observe traffic, so it does not require changes to how your application handles requests. Setup focuses on establishing your normal traffic baseline and configuring where alerts should go once the monitor goes live. That makes it straightforward to add even to an API that is already live in production.
How much does AI API Security Monitor cost to run each month?
Running it costs roughly $20 to $300 a month in your own accounts, for hosting, logging and the monitoring tools that store traffic events and alerts. Higher request volume moves you toward the top of that range. There is no per-request fee from us. The one-time build price, including faster delivery options, is listed in the price panel on this page.
What happens when AI API Security Monitor flags unusual traffic?
An alert with severity and context routes to Slack or Jira, and a named person on your team investigates and decides what to do. The monitor does not block traffic or take action on its own; it is built to inform a human decision quickly, not replace one.
Can I add more API endpoints later?
Yes, within the three systems included in scope, adding endpoints is part of the build. Monitoring across more systems than the three in scope, or a significantly larger API surface, comes through a Change Quote, priced and agreed with you before that work starts. This keeps the cost of expanding coverage predictable rather than open-ended as your API surface grows.
Who owns the traffic baseline and alerting rules once it is live?
You do. The baseline, the thresholds and the alert routing all live in your own connected accounts and tools, not a separate platform we control, so you can adjust them at any point without needing our involvement or approval. We keep no separate copy that would lock you into working with us going forward.
Know when your API traffic stops looking normal.
Order AI API Security Monitor and it starts watching your endpoints for unusual patterns, live on a fixed delivery date.
Works well with
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AI Security Policy System
Maintains security policies and checks systems against them.
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AI Security Monitoring
Centralizes security events from AI systems with alerting.