Agent security and governance

Protect enterprise content across every AI agent

Deploy AI agents with confidence. Your content stays protected.

AI agents now read, share, move, and delete content at machine speed — faster than any security team can review. Seamlessly protect enterprise content across Box agents and external agents like Copilot, Gemini, Claude, or ChatGPT. Validate every prompt, scope what agents can do, monitor every action, and establish key governance controls, all on one secure content platform.

Prevent prompt injection attacks

Hidden instructions inside documents can turn a helpful agent into an exfiltration tool. Prompt injection detection scans every user prompt and document-embedded instruction and catches direct, indirect, cross-agent, and supply chain patterns. Select your response: log the attempt for audit, or block execution outright.

Set perimeters around Box agent actions

Deterministic agent guardrails ensure Box agent behavior stays predictable and defensible for security teams. Scope agent actions by folder, classification, file type, and user list. Block external sharing, bulk deletion, and moves that fall outside your policies. Establish enterprise-wide defaults, then let builders fine-tune individual agents for specific tasks.

Tailor content access across external integrations

Classification-based access policies control what AI agents can read, not just what they can download. Copilot, Claude, ChatGPT, and any app connected gets filtered access based on your existing classification labels. Governance stays with each file, and the same rules apply no matter which AI tool starts the request.

Respond faster with threshold-based alerts

Set threshold-based alerts on what AI agents do across your Box content. Get notified the moment an agent or user spikes in activity volume or drifts outside normal patterns. Route events to your SIEM platform to correlate agent behavior with the rest of your security signals.

Customize guardrails for third party agents

Box MCP server guardrails put a configurable policy layer between every external agent and your content. Set global defaults on the MCP server, then tighten policies for high-risk agents. Secure your data by restricting where files are made, who sees them, and how they move. Every allow, deny, and configuration change is logged, so you get prevention plus a full audit trail.

Keep every agent session compliant

Each agent session is logged with full context: which agent, which user, which files, which actions, and which policy applied. Extend your standard content and legal hold policies to agent sessions. Track AI usage by agent, user, and department, then compare utilization data to measure ROI.

Safe AI agents for every industry and department

Financial services

Claims, loan files, and trade documents move through AI agents that read regulated data and act on it in seconds. Prompt injection detection screens every document before a model touches it, classification-based access keeps sensitive content out of external agents, and every session lands in an audit trail your examiners can pull straight from Box for SEC, FINRA, and GLBA reviews.

Public sector

Constituent services, claims and benefits processing, sensitive data and more, run on documents that are governed by strict handling rules. Agent guardrails scope what each agent can read, write, share, and delete, MCP action guardrails hold external agents to the same rules, and every touch is logged against NARA-aligned retention and disposition policies and FedRAMP/GovRAMP/IL-4 security for a defensible chain of custody without new tooling.

Life sciences

Accelerate research, clinical collaboration and manufacturing workflows safely with permissions-aware AI. Classification-based access keeps PHI and IP out of public models, action guardrails prevent unauthorized sharing, and validated audit trails simplify GxP and HIPAA compliance.

Professional services

Keep every client engagement inside its own wall, even when AI agents are doing the work. Guardrails scope each agent to a specific client's folders and file types, so one client's assistant never crosses into another's territory. Prompt injection detection stops malicious invoices from turning an assistant into an exfiltration path, and threshold alerts flag unusual read or share volume before a partner has to explain it to a client.

Law firms

OCGs, contracts, and privileged correspondence run through drafting and review agents that touch highly sensitive content. Classification-based access policy keeps privileged and matter-restricted files invisible to external AI, agent guardrails block moves and external sharing outside approved workspaces, and full session logs give general counsel a clean, exportable record of every agent that read or acted on a matter.

Media and entertainment

Scripts, dailies, contracts, and marketing assets flow through AI agents that touch pre-release IP and talent data. Prompt injection detection screens uploaded files before an agent acts on them, classification-based access keeps embargoed titles and unreleased footage out of external agents, and action guardrails block external sharing outside approved production folders.

FAQ

What is Box AI agent security and governance?

Box AI agent security and governance is a content-layer suite of controls that lets enterprises safely deploy AI agents on Box content, whether the agents are built in Box or connect through Copilot, Claude, ChatGPT, and other MCP-connected tools. It operates at the content layer, so governance travels with the file no matter which AI tool initiates the request.

Can I control what AI agents like Copilot, Claude, and ChatGPT can do with my Box content?

Yes. Box governs external AI agents at two layers: what they can read (classification-based access policy) and what they can do (MCP server action guardrails – coming soon). Both apply to any AI tool connecting to Box through the MCP server or the integration list, including Microsoft Copilot, Anthropic Claude, and ChatGPT.

How is Box different from AI security tools?

Box governs AI agents at the content layer, not the network layer or the identity layer. That means Box is the only platform that knows what the agent touched, what was in the file, who classified it, what retention policy applies, and whether the action was in or out of policy — for every agent that operates on your Box content, whether it is Box-native, or third party.

How granular can access policies get for third party AI agents in Box?

Access policies extend Box Shield access policy control to scope at the classification label, so any file tagged Confidential, Regulated, or Restricted stays out of reach for every integration connected to Box, including Copilot, Claude, ChatGPT, and any MCP-connected tool. One classification rule, every integration covered.

How does Box compare to building your own AI agent guardrails in-house?

DIY stacks (LLM-as-judge, NeMo Guardrails, custom middleware) put you on the hook for designing, testing, and maintaining guardrails as models and threats evolve. Box delivers deterministic, content-aware guardrails built in and continuously updated, so your team focuses on the fun stuff instead of the plumbing.