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⚡ tsecurity.de Intelligence

My surprise AI bill taught me to build TokenBar

A few months ago I opened an AI bill and had that little stomach-drop moment. I had been using models like they were free. A few prompts here, a refactor there, a handful of “just try it again” retries, and suddenly the bill was rea…

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A few months ago I opened an AI bill and had that little stomach-drop moment.



I had been using models like they were free. A few prompts here, a refactor there, a handful of “just try it again” retries, and suddenly the bill was real.



That was the seed for TokenBar.



I wanted a dead simple way to see what was happening while I worked, not after the invoice arrived. Not a dashboard I would forget to open. Not another tab. Just cost and token usage, right where I already live on my Mac.



What surprised me was not the raw spend. It was how invisible it had been.



Once something is visible, behavior changes fast. You stop looping. You stop wasting retries. You ask a better question before you spend another one.



That is the whole product idea for me: make the cost of AI obvious enough that you naturally use it better.



I am still a solo dev shipping this piece by piece, and that part has taught me as much as the product itself. The biggest lesson so far is simple: if something keeps biting you in your own workflow, there is probably a product hiding inside it.



TokenBar came from that kind of bite.



If you have had a similar AI bill surprise, I would love to hear what made it obvious to you.

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - My surprise AI bill taught me to build TokenBar
id: e3754b99-7863-4d95-88b4-8b0a2e794df8
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "My surprise AI bill taught me " ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("My surprise AI bill taught me to build T")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*My surprise AI bill taught me to build T*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "My surprise AI bill taught me to build T"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich My surprise AI bill taught me to build T.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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