AI Data Security for Content Workflows

COMPANY OVERVIEW

Bonfy.ai is a cybersecurity startup founded in early 2024 and headquartered in Mountain View, California. The company emerged publicly in June 2025 with a $9.5 million seed round led by TLV Partners with participation from Saban Capital Group. Its flagship product, Adaptive Content Security (ACS)™, delivers real-time protection for unstructured content across AI agents, email, SaaS applications, and collaboration tools including ChatGPT, Claude, Copilot, and custom AI workflows.

Bonfy.ai was built to close the gap that legacy DLP was never designed to see — multi-step automated AI workflows where sensitive data moves invisibly through models and agents. Unlike pattern-matching tools that generate excessive false positives, Bonfy applies entity-aware contextual analysis to understand business relationships, internal policies, and the intent behind content in motion.

CORE FOCUS

The platform operates inline at low latency, inspecting both inputs feeding AI models and outputs generated by agents in real time. It detects data leakage, regulatory violations, IP misuse, misdirected communications, and confidentiality exposures across human and AI-driven workflows simultaneously. The core differentiator is its Adaptive Knowledge Graph, which builds a live map of organizational entities, relationships, and policies to provide deep business context — something rules-based DLP cannot replicate.

PRODUCTS & TOOLS

Adaptive Content Security (ACS)™ – Core platform delivering real-time protection against data, confidentiality, integrity, privacy, and regulatory incidents across human and AI-driven workflows.

Input Control – Inspects prompts and inbound content to prevent sensitive data from feeding models and agents unsafely.

Output Control – Analyzes outbound messages and agent outputs in real time to prevent data leakage and misdirected communications.

Data-in-Use Inspection for AI Agents – Via MCP server, allows agents to verify content safety during reasoning processes before acting on or forwarding data.

Adaptive Knowledge Graphs – Delivers business-context analysis through a live map of internal entities, relationships, and policy linkages that feeds directly into enforcement decisions.

Entity Risk Management – Provides risk scoring and automated enforcement for humans, service accounts, and AI agents across the organization.