CISO / Security
Control AI usage, sensitive data exposure, Shadow AI, browser activity, and endpoint risks.
Enterprise AI Firewall
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
Control AI usage, sensitive data exposure, Shadow AI, browser activity, and endpoint risks.
Enable AI adoption with visible runtime control instead of blanket blocking.
Reconstruct decisions, policy triggers, approvals, and evidence for review.
Adopt AI safely without bypassing enterprise control expectations.
Use cases
Detect and block sensitive data such as IDs, credentials, financial data, and restricted business content.
Identify unmanaged AI tools and bring them into governed inventory and review.
Support browser extension, endpoint agent, gateway, and policy telemetry patterns.
Capture allow, warn, block, and escalation outcomes with reviewable evidence lineage.
Monitor risky prompts, file attempts, image paste, clipboard flows, and exception queues.
Applicable across BFSI, healthcare, telecom, energy, government, technology, manufacturing, and education.
Architecture & integration
Supports on-premises, private cloud, public cloud, or hybrid patterns depending on customer control, residency, and assurance requirements.
Regulatory and audit alignment
Designed to reduce sensitive data leakage into unmanaged AI channels.
Supports NIST AI RMF, ISO/IEC 42001, EU AI Act style governance operations.
Evidence-first decisions support internal audit and supervisory review.
Allows organizations to demonstrate what was allowed, warned, blocked, or escalated.
Next step
We can walk through product fit, architecture, pilot scope, deployment model, evidence expectations, and procurement review material.