LLMFort
Your AI Security Solution - Control Commands, Manage Risks.
LLM Security?
Large Language Models (LLMs) are revolutionizing the business world while also creating a new attack surface in organizations' security architectures.
Traditional security tools are insufficient to detect language-based and context-manipulation-based threats like prompt injection. Therefore, an advanced defense layer is needed that monitors all user-model interactions, analyzing and blocking potentially harmful commands before they reach the model. LLM Firewall makes this interaction secure, monitorable, and controllable.
5 Notable LLM Cases
1. Samsung and ChatGPT (Data Leak): Employees leaked sensitive corporate data by pasting confidential source code and meeting notes directly into ChatGPT to request assistance.
2. OpenAI and ChatGPT (Personal Information Leak): A platform bug allowed some users to view chat threads and leaked Plus subscribers' payment information (Personal Information Leak).
3. Microsoft Copilot (Indirect Injection): Malicious commands hidden in emails tricked Copilot into digesting corporate data and sending it to an attacker URL.
4. Google NotebookLM (RAG Leak): A malicious document exposed a vulnerability in RAG (external data) systems by stealing information from other confidential documents in the model's memory.
5. Common Jailbreak Case (System Command Exposure): Jailbreaking techniques like "DAN" have allowed major models to bypass security filters and expose hidden system commands that govern their behavior.
What is LLMFort?
LLMFort is an intelligent security shield that secures the use of enterprise AI.
It centrally monitors all user and application interactions, preventing prompt injection, data leaks, and policy violations before they reach the model.
LLMFort prevents artificial intelligence from becoming an uncontrolled risk and enables your organization to demonstrate its innovation power with confidence.
Key Features of LLMFort
01
LLM Discovery
02
Inline / Out-band Prompt Control
03
AI Guardrail Rules
04
EnterpriseChat UI
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Current LLM Inventory
06
Regex / Keyword Rules
07
OWAPS Top 10 GENAI
08
Enhanced Integrations
How Does LLMFort Protect?
1- Captures and Analyzes Communication: It handles all LLM requests from users (Chat) or applications (API) as a central proxy and initiates the security audit process.
2- Performs Multi-Layered Security Scanning: Instantly applies predefined corporate policies. It processes prompts through a multi-layered scan using advanced keyword, Regex, and semantic analysis engines.
3- Detects Risks and Violations: As a result of the scan, it instantly identifies risks and vulnerabilities such as prompt injection, data leakage (PII, Secrets), violations of company policy, or toxic content.
4- Instantly Intervenes Based on Rules: Instantly applies the action defined in the rule (Block, Mask, or Deny) based on the detected risk. This eliminates the threat before it even reaches the LLM model.
LLMFort Architecture - Inline Firewall
LLMFort Architecture - Out-band
Local Power, Global Vision
LLMFort is an LLM security platform developed with 100% domestic technology.
Full Compliance with Legislation and Personal Data Protection Law (KVKK): Local infrastructure facilitates regulatory compliance.
Local Support and Service: Rapid response, effective communication without language barriers, and sustainable service quality.
Flexible Development and Organization-Specific Adaptation: Rapid response to changing needs, customizable architecture.Data Security: All data is hosted domestically, minimizing external dependency and the risk of data leakage.
Fast Procurement and Project Processes: Uninterrupted installation, integration, and support.
SOAR
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Rapid7 InsightConnect
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Splunk Phantom
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Cortex XSOAR (Demsto)
Messaging Apps
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Slack
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MS Teams
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Telegram
SIEM
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Splunk SIEM
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Splunk Phantom
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Cortex XSOAR (Demisto)
Universal Integration
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General WebHooks
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Public APIs
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Atlassian Jira
DevOps Tools
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PagerDuty
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Atlassian OpsGenie
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Jenkins
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Azure DevOps