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I Built a Language Where AI Calls Are Sandboxed by Default

I Built a Language Where AI Calls Are Sandboxed by Default The 30-line Python problem Last month I needed a script that reads server logs, classifies errors with an LLM, summarizes them, and writes a report. In Python, it…

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I Built a Language Where AI Calls Are Sandboxed by Default






The 30-line Python problem



Last month I needed a script that reads server logs, classifies errors with an LLM, summarizes them, and writes a report. In Python, it looked like this:




  • Import the SDK

  • Initialize the client

  • Handle the API response

  • Parse JSON

  • Add asyncio.gather() because sequential calls took 8 seconds

  • Write a custom sandbox because I don't trust LLMs with exec and file writes

  • Package it in Docker because requirements.txt always breaks on the server



80 lines later, it worked. But it felt wrong. I wasn't building logic — I was plumbing.



So I asked myself: What if AI operations were language primitives, not library calls?






Meet Pipe



Pipe is a small runtime (~10 MB, single binary, zero dependencies) that treats summarize, translate, classify, and ask as first-class citizens — on the same level as +, sort, or len.



Try it



Browser Playground (WASM, no install): pipe-lang.com



Source: github.com/MachuraHarry/pipe



Docs: pipe-lang.com/docs

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - I Built a Language Where AI Calls Are Sandboxed by Default
id: b51b068a-e8c9-44ca-a434-858b60c637b0
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
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 = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "I Built a Language Where AI Ca" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I Built a Language Where AI Calls Are Sa")
| 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: "*I Built a Language Where AI Calls Are Sa*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "I Built a Language Where AI Calls Are Sa"
| 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 I Built a Language Where AI Calls Are Sa.... 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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