Enterprise AI Firewall

Control AI usage before sensitive data, risky prompts, and unmanaged tools become enterprise exposure.

Runtime AI usage control, Prompt Guard, Shadow AI detection, DLP, browser and endpoint controls, policy enforcement, and evidence-backed decisions for enterprises adopting generative AI at scale.

Buyer alignment

Designed for cross-functional enterprise buying committees.

CISO / Security

Control AI usage, sensitive data exposure, Shadow AI, browser activity, and endpoint risks.

CIO / Digital

Enable AI adoption with visible runtime control instead of blanket blocking.

Compliance / Audit

Reconstruct decisions, policy triggers, approvals, and evidence for review.

Business Leaders

Adopt AI safely without bypassing enterprise control expectations.

Use cases

Where this product creates enterprise control value.

Prompt Guard and DLP

Detect and block sensitive data such as IDs, credentials, financial data, and restricted business content.

Shadow AI detection

Identify unmanaged AI tools and bring them into governed inventory and review.

Browser and endpoint controls

Support browser extension, endpoint agent, gateway, and policy telemetry patterns.

Evidence-backed enforcement

Capture allow, warn, block, and escalation outcomes with reviewable evidence lineage.

Runtime supervision

Monitor risky prompts, file attempts, image paste, clipboard flows, and exception queues.

Cross-sector AI control

Applicable across BFSI, healthcare, telecom, energy, government, technology, manufacturing, and education.

Architecture & integration

Built to fit enterprise deployment and assurance review.

Supports on-premises, private cloud, public cloud, or hybrid patterns depending on customer control, residency, and assurance requirements.

Enterprise AI tools, copilots, LLMs, agents, workflows
Browser extension, endpoint agent, gateway, telemetry and policy signals
SENTRUM Enterprise AI Firewall runtime decision layer
Policy engine, DLP classifier, enforcement workflow
Audit evidence, investigation timeline, reporting and supervisory review

Security posture

  • RBAC and maker-checker
  • Audit logging
  • Encryption-aware deployment
  • Evidence retention
  • Customer-controlled operations

Integration fit

  • IAM
  • SIEM
  • DLP
  • GRC
  • Ticketing and workflow tools

Regulatory and audit alignment

Strong wording, defensible claims, no overclaiming.

DPDP / privacy support

Designed to reduce sensitive data leakage into unmanaged AI channels.

AI governance alignment

Supports NIST AI RMF, ISO/IEC 42001, EU AI Act style governance operations.

Audit defensibility

Evidence-first decisions support internal audit and supervisory review.

Control effectiveness

Allows organizations to demonstrate what was allowed, warned, blocked, or escalated.

Next step

Request a product briefing for your sector and operating model.

We can walk through product fit, architecture, pilot scope, deployment model, evidence expectations, and procurement review material.