Detect suspicious logins and alert your team automatically

Checks new logins against threat data and location history, then alerts your team to anything suspicious.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"new login occurs"]:::trig s0["check ip against threat data"]:::svc s1["compare device to login history"]:::task trig --> s0 s0 --> s1 gx{"× is the login risky"}:::gate s1 --> gx p00["alert team in slack"]:::task gx -->|"risk detected"| p00 p01["notify user by email"]:::task p00 --> p01 p10["no action taken"]:::task gx -->|"no risk found"| p10 p01 --> out p10 --> out out[/"risk-ranked login alert"/]:::out pay{{"faster detection of account compromise"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff

Starts itA stepAn outside serviceOne path onlyResultPayoff

Build size

Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions

Email AutomationSpreadsheet & Database OpsWeb Scraping & Data CollectionSecurity & Compliance

Connects

SlackPostgreSQLGmail

The problem it solves

A login from a strange location or device can be the first sign of a breach, but there is no way you can watch every login as it happens. By the time you notice unusual activity in the logs, an attacker may already have access.

Who it fits

Security and IT teams responsible for monitoring account access.

How it works

A new login event comes in
The IP address is checked against threat intelligence and geolocation data
Device and browser details are compared against the user's last 10 logins
If anything looks new or risky, your team is alerted in Slack
The affected user is also notified by email

What you get

Suspicious logins caught before damage is done

New logins are automatically checked against threat data and past activity, with your team alerted the moment something looks risky.

What you get

A Slack alert and email notification whenever a login looks suspicious, prioritized by risk.

What you need

A threat intelligence API, a geolocation API, a PostgreSQL database, Slack, and an email account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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Back to the AI Playbook

Detect suspicious logins and alert your team automatically

How the work actually flows

The problem it solves

Who it fits

How it works

Suspicious logins caught before damage is done

What you get

What you need

We can build this. But should you?

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