Alert your team in Slack about suspicious login attempts

Scans your system logs on a schedule and posts a Slack alert if failed login attempts spike above your limit.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig(["scheduled log scan"]):::trigtime s0["scan system logs"]:::task s1["count failed login attempts"]:::task trig --> s0 s0 --> s1 gx{"× attempts cross alert threshold"}:::gate s1 --> gx p00["post slack alert with details"]:::task gx -->|"threshold crossed"| p00 p10["no action taken"]:::task gx -->|"within limits"| p10 p00 --> out p10 --> out out[/"slack alert on suspicious logins"/]:::out pay{{"early warning against break ins"}}:::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 stepOne path onlyResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Messaging & NotificationsAPI & Webhook IntegrationSecurity & Compliance
Connects
Slack

The problem it solves

Break-in attempts on your systems can happen quietly, and by the time you notice a pattern of failed logins, real damage may already be done. Watching logs manually isn't realistic when you have a business to run.

Who it fits

Businesses that want an early warning system for suspicious login activity on their websites or applications.

How it works

  1. Checks your system logs on a set schedule
  2. Counts failed login attempts and the IP addresses involved
  3. Compares the count against your alert threshold
  4. Posts a Slack alert with the details if the threshold is crossed
What you get

Suspicious login spikes your team hears about

Your team gets an immediate Slack alert whenever failed login attempts spike past the limit you set.

What you get

A Slack alert summarizing the number of failed logins and the IP addresses involved.

What you need

Access to your system's log data and a Slack 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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