Use Case: Shadow AI Security

Shadow AI has moved to the browser—where employees paste, upload, and transform sensitive information in real time, often outside approved tools and governance.

That shift creates a security blind spot because the riskiest behavior happens inside web sessions, before traditional controls can reliably detect or prevent exposure:

Unsanctioned AI in browser tabs: Employees use personal accounts and unapproved AI destinations to speed up work, unintentionally exposing sensitive or regulated data.
Hidden adoption patterns: Security teams lack visibility into which AI destinations are being used, what data is flowing, and who is driving the behavior.
“Approved” AI can still become risky (“Shady AI”): Even sanctioned copilots and enterprise AI can break policy or trust boundaries when they access the wrong content, combine data incorrectly, or output sensitive information to the wrong place.

The result is real data risk (PII/PHI/PCI exposure, IP leakage, compliance violations) without the visibility or enforcement needed to stop it at the moment it happens.

To manage Shadow AI without blocking productivity, organizations need real-time, content-aware security in the browser—powered by the same intelligence and policies used across email, SaaS apps, collaboration tools, and AI systems.

Bonfy Adaptive Content Security™ (Bonfy ACS™) addresses Shadow AI as a data-centric risk problem, not a “site list” problem:

Inspect prompts, uploads, and responses in real time to detect sensitive and regulated data before it leaves the organization.
Detect Shadow AI usage patterns across users, teams, and locations to understand what’s happening and where to focus controls.
Apply unified policies and labels so browser decisions align with governance across the rest of the data surface.

Because Bonfy is built as a multi-channel platform, this doesn’t add another point tool—it extends one engine for analysis, policy, and enforcement into the browser.

Real-time inspection in the browser

Bonfy’s browser extension performs content-aware inspection of web interactions, including AI prompts and responses, to identify sensitive and regulated data before it leaves the organization.

Shadow AI detection and behavior mapping

Bonfy detects unsanctioned AI usage and maps which destinations are in use, what data is flowing, and which users and teams are driving adoption—so you can move from guesswork to governance.

Policy enforcement without heavy-handed friction

Bonfy can warn users, block specific actions, or require justification when content crosses trust boundaries or regulatory thresholds—grounded in your policies, with clear explanations that reduce workarounds.

Correlation across channels (browser + the rest of the enterprise)

Because Bonfy correlates activity across email, SaaS apps, collaboration tools, and AI systems, teams can respond at the entity level—not just the session level—especially when a single user is creating repeated exposures across multiple channels.

Entity Risk Management (ERM) for humans + AI agents
Tie exposure to the identities behind the behavior so you can quantify who represents the most risk, not just what happened.
Contextual, entity-aware detection (high accuracy, low noise)
Differentiate harmless research queries from prompts containing customer-specific information, regulated data, or internal IP.
Unified policy enforcement across channels
Apply consistent rules and labels across browser activity, email, collaboration tools, SaaS apps, and AI platforms—eliminating blind spots as data moves.
Automation & response orchestration
Warn, block, require justification, label, route, notify, or log events based on policy and risk level—then integrate response actions into your workflows.