Secure every AI request at the network edge by plugging Aiceberg into your existing firewalls to inspect all AI traffic in real time. It automatically detects and blocks sensitive data exposure or unsafe outputs and streams alerts into your SIEM.
Protect AI-powered applications with a single API that validates every prompt and response against your safety, security, and compliance policies. Aiceberg can block, redact, or log risky messages without forcing you to rewrite your app.
Aiceberg connects directly into frameworks like CrewAI, LlamaIndex, and LangChain. The framework pauses execution until Aiceberg returns a go/no-go decision so dangerous actions are stopped before they execute.
When your employees use public foundation models such as ChatGPT, Claude, or Google Gemini, Aiceberg automatically inspects all incoming and outgoing traffic to detect potential exposure or disclosure of sensitive information. It continuously evaluates and constrains the scope of interactions, ensuring precise control over language, intentions, tasks, and instructions.
Aiceberg integrates with your existing firewall (Palo Alto, F5, Zscaler, Fortinet, Check Point, etc.) via the ICAP (Internet Content Adaptation Protocol). In this configuration, Aiceberg functions as the ICAP server, while your firewall operates as the ICAP client.
Once ICAP is enabled on your firewall, you can define which destinations should be subject to inspection (e.g., GPT, Claude, Gemini, Perplexity, etc.). Any traffic between your users and these services is analyzed by Aiceberg, which signals your firewall whether a specific input or output is permissible. Alerts can be streamed directly to your SIEM for centralized monitoring and response. This setup is equally effective if you host your own models on-premises or in a private cloud environment.
In enforcement mode, Aiceberg sits in-line with your application’s AI traffic. Your application sends its requests to the Aiceberg API, which inspects the input and, if it complies with policy, forwards it to your LLM (connections to your LLMs are configured via the Aiceberg dashboard). Aiceberg then inspects the LLM’s response and, if it meets policy requirements, returns it to your application. Any policy violations are automatically enforced by blocking or redacting messages, with full logging and alerting options.
In listen mode, Aiceberg receives a copy of your application’s inputs and outputs, providing monitoring and analysis results without interfering with traffic flow. In this mode, your application is responsible for enforcing any policy violations signaled by Aiceberg.
Note: When hosting an AI-powered application in a DMZ—either on-premises or in a cloud environment—the firewall/ICAP-based integration option is a viable alternative to protect your use case.
Agentic workflows are safeguarded and secured by Aiceberg through direct integration with the agentic framework in use, such as Crew AI, LlamaIndex, AWS Strands, or LangChain. Each framework provides hooks or callback functions that allow Aiceberg to receive a copy of every event occurring within the workflow.
When an event is shared with Aiceberg, the framework pauses execution until Aiceberg returns its decision. This enables Aiceberg to automatically halt a workflow if a safety or security issue is detected, ensuring real-time protection and policy enforcement.
With Aiceberg integrated into your AI powered workflows, third party integrations enable use of Aiceberg seamlessly across your existing cybersecurity stack.
Connecting your SIEM is done via “click through” in the Aiceberg dashboard, which will make Aiceberg stream alerts in real-time. Alerting can be configured on a per signal, monitoring profile and use case basis. Aiceberg currently supports alerting for the following SIEMs:
Connecting your IAM provider enables logging with user information (as an alternative to sending the username as part of the API call) and per user and group policy definitions.
Protect your enterprise agents, reduce agentic AI risk, and lead the AI race with clarity and control.
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