The security controls organizations need when putting AI applications into production. Building a custom AI application is easier than ever. A team can connect an LLM to internal documents, add RAG, create a chatbot interface, and have a useful prototype running quickly. But getting an AI application to work is not the same as making it secure.... Weiterlesen
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How to Secure a Custom AI Application: From Prompt Injection to Data Leakage
The security controls organizations need when putting AI applications into production. Building a custom AI application is easier than ever. A team can connect an LLM to internal documents, add RAG, create a chatbot interface, and have a…
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Syntax validiert (0 Fehler)
title: Detect Exploitation - How to Secure a Custom AI Application: From Prompt Injection to Data Leakage
id: 65715d4e-c725-46a8-8790-8027292b3cb7
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_accessSyntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-25"
description = "YARA Signature for "
strings:
$str = "How to Secure a Custom AI Appl" ascii wide
condition:
any of them
}Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("How to Secure a Custom AI Application Fr")
| 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 - countSyntax validiert (0 Fehler)
message: "*How to Secure a Custom AI Application Fr*"Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "How to Secure a Custom AI Application Fr"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc2. Cyber Threat Intelligence & Forensik
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Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
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Impact
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Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich How to Secure a Custom AI Application: F.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.
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