Arqent AI

Secure. Explainable. Mission-Aligned AI.

Arqent AI empowers analysts with governed, on-prem or hybrid AI agents that assist investigations, automate insight generation, and preserve auditability.

The agent layer for real-world intelligence

Arqent AI orchestrates language models, analytical tools, and policy rules through a unified hub.
It allows agencies and enterprises to deploy their own LLMs, connect to external providers (OpenAI, Azure OpenAI), or run local models like Ollama – all under a zero-trust governance model.
Every action, prompt, and result is traceable, enabling secure adoption of AI at mission scale.

Pluggable model providers (Bring Your Own AI)

Agent registry with tool plugins and permissions

Audit and trace for each AI action

Operates on-prem, in cloud, or air-gapped environments

Core Capabilities

Agent Orchestration

Coordinate multiple AI agents across investigations and workflows.

Tool Integration

Connect AI agents with query engines, vector search, and external APIs.

Explainability & Audit

Capture prompts, decisions, and results for full traceability.

Policy-Aware Actions

Agents operate within configured rulesets for data handling and classification.

From Request to Result. Securely and Audited.

Mission-ready Agents

Summarizer

Creates concise analyst briefs from multi-source data.
Compression

Predictor

Detects patterns and projects risk trajectories.
Forecasting

Correlator

Connects entities across darknet, social, and internal sources.
Analysis

Compliance Auditor

Scans agent outputs for policy violations or sensitive data.
Governance

Investigator Assistant

Interprets queries and fetches context from Arqent Core.
Productivity

Built for Transparency and Control

Arqent AI adheres to strict Responsible AI principles human-in-the-loop design, bias evaluation, and policy enforcement at every layer.
Each model and agent is versioned and tested with documented model cards to ensure ethical and auditable use in government and enterprise contexts.

Model cards and bias tests included

Human review workflow and transparency

Red-team evaluation and feedback loops

On-prem isolation for classified data

Where AI Meets the Arqent Ecosystem

Arqent AI interfaces with Core (for data analysis), Hub (for input sources), and OS (for live operations).
It enables autonomous and assistive workflows across darknet monitoring, risk assessment, and incident response without leaving the secure mesh.

Bring AI under your command. Deploy Arqent AI on-prem, in the cloud, or across hybrid missions.

“Arqent AI let our analysts use AI in classified contexts — fully auditable and compliant with internal policies.” Head of Cyber Operations, National Agency

View Responsible AI Overview