Box Targets Legal With Agentic Control System

2026-07-21 · Source: Artificial Lawyer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, short

Summary

Box, an Intelligent Content Management (ICM) platform, has launched a new agentic AI control system specifically targeting the legal and other regulated sectors. This system introduces enhanced security and governance capabilities for AI agents interacting with enterprise content, addressing challenges like safely using AI for contract reviews, discovery workflows, and case preparation without compromising confidential information. Under its E-Advanced plan, Box is rolling out agent guardrails, third-party agent activity oversight, prompt injection detection, classification-based access policies, and enterprise-grade security controls for Box Agents and third-party agents like Claude, ChatGPT, and Gemini. Manoj Asnani, VP of AI Security, Privacy, Compliance & Governance Products at Box, noted that 83% of organizations are experimenting with AI agents in critical tasks, emphasizing the need for robust security controls. Box aims to provide a secure environment for deploying agents at scale, extending its offering beyond file storage into active management of agentic tools.

Key takeaway

For MLOps Engineers or AI Security Engineers deploying agentic AI in regulated industries, Box's new control system offers a robust solution for compliance and data security. You should evaluate its agent guardrails, prompt injection detection, and classification-based access policies to ensure AI agents operate within defined scopes. This system helps mitigate risks of unauthorized content access, providing audit trails and human-in-the-loop controls for sensitive workflows.

Key insights

Box's new agentic AI control system provides critical security and governance for AI agents in regulated enterprise environments.

Principles

• Agentic AI requires policy-driven controls.
• Security must prevent unauthorized content access.
• Audit trails are essential for compliance.

Method

Box's system enforces guardrails, detects prompt injections, applies classification-based access, and provides activity oversight with human-in-the-loop controls.

In practice

• Govern AI agents in contract reviews.
• Secure discovery workflows with policy.
• Prepare cases without data compromise.

Topics

• Agentic AI
• AI Governance
• Content Management
• Legal Technology
• Data Security
• Compliance

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Security Engineer, Legal Professional, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Lawyer.