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Aiceberg

Aiceberg provides a deterministic, explainable AI detection and response platform that monitors large language model and autonomous agent interactions in real time. It captures each request and response, classifies information sensitivity, and enforces policies through SIEM, firewall, and CASB integrations, delivering audit‑ready logs and compliance reporting.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises deploying large language models (LLMs) and autonomous agents lack deterministic, auditable controls, exposing them to prompt injection attacks, unintended data leakage, and compliance violations. Existing security stacks (SIEM, firewalls) are not equipped to inspect AI‑driven interactions in real time, creating blind spots for shadow AI activity.

Solution

Aiceberg delivers a deterministic, explainable AI detection and response platform that monitors LLM and agentic workflows as they occur. The Guardian Agent captures every request and response, applies information‑sensitivity classifiers, and generates traceable risk signals that can be audited on demand. Policies are enforced through a unified dashboard that connects to SIEM systems in three clicks and to firewalls or CASBs via ICAP, enabling real‑time blocking of unsafe prompts and data exfiltration. The solution supports all major foundation models (GPT, Claude, Llama, Deepseek) while remaining model‑agnostic, ensuring oversight stays consistent even as new models are introduced. Built on traditional machine‑learning pipelines, the platform provides transparent reasoning for each decision, facilitating regulatory reporting and compliance verification.

Target Audience

Primary customers are enterprise security operations centers, compliance officers, and IT teams responsible for safeguarding LLM‑powered applications and autonomous agents across regulated industries.

Features

  • Deterministic, explainable risk engine that produces audit‑ready logs for every AI interaction
  • Real‑time integration with SIEM (dashboard API) and firewall/CASB via ICAP for immediate policy enforcement
  • Pre‑trained information‑sensitivity classifiers (PII, PCI, PHI) with customizable policy layers for organization‑specific rules
  • Guardian Agent UI displaying live metrics, token volumes, and signal breakdowns for continuous observability
  • Support for multiple foundation models and agentic frameworks without reliance on proprietary transformers
  • Policy‑driven response actions (alert, block, redact) configurable per data category and compliance regime
  • Export of compliance reports and traceability data through standard formats (JSON, CSV, Syslog) for regulator submission
This profile is AI-generated and may contain inaccuracies.