The AI Era Has a Data Problem: A New Model for Protecting Data Across AI Agents and Copilots
Organizations are racing to adopt AI, copilots, and AI agents, but most have no reliable way to see how these systems are using their data or to stop sensitive information from leaking out through new AI-driven workflows. As AI-driven information flows explode across email, SaaS apps, collaboration tools, custom LLM apps, and increasingly autonomous agents, traditional DLP and DSPM tools, built for static rules and predictable channels, simply cannot keep up, leaving security teams effectively flying blind in the face of rising confidentiality, integrity, privacy, and regulatory risk.
What Bonfy Does
Bonfy is an AI data security platform that protects unstructured data everywhere it move, across email, files, SaaS apps, collaboration tools, Copilot, AI agents, and internal AI-enabled systems. The platform unifies real-time visibility, high-accuracy classification, and preventative controls so organizations can safely adopt and scale AI without blind spots, operational friction, or an explosion of disconnected tools. Bonfy’s entity-aware engine understands the people, customers, and consumers behind the data, allowing policies to align with real business relationships and trust boundaries instead of brittle pattern-matching, which dramatically reduces noise and enables safe enforcement.
Under the hood, Bonfy delivers a native AI high-performance architecture designed for real-time, AI-era use cases such as browser extensions, AI-to-AI communication, and custom applications. A multi-channel architecture protects data in motion, at rest, and in use, applying the same contextual intelligence to email, SaaS platforms, collaboration tools, AI systems, and AI agents, so security teams can see and govern content consistently wherever it is created, accessed, or transformed. Organizations can choose fully managed SaaS or bring-your-own-cloud deployments and tap into a broad ecosystem of connectors for Microsoft 365, Google Workspace, Salesforce, HubSpot, Slack, on‑prem and cloud file stores, and more, all orchestrated through one unified control plane.
In practice, Bonfy becomes the content-aware safety layer that sits across both human and AI-driven workflows, continuously inspecting and governing how sensitive data is used. For example, Bonfy automatically classifies and labels unstructured content with fine-grained, entity-aware tags that can be pushed into systems like Microsoft Purview, ensuring only appropriately governed content is indexed by copilots and AI assistants. It then enforces policies in real time (blocking, modifying, quarantining, relabeling, or alerting across channels) while providing investigation workflows, dashboards, and entity risk scores that show which humans, systems, and AI agents are generating the highest data risk and why.
Securing AI Agents with Bonfy’s MCP Server
As enterprises stand up thousands of AI agents, each wired to different data sources and tools, the potential leakage points multiply: user prompts, agent data access, calls to external MCP servers, and outbound channels like email and file sharing. Bonfy addresses this by providing three layers of control; input inspection, output inspection, and a breakthrough “data-in-use” layer that allows agents themselves to verify content safety during their reasoning process. The same Bonfy intelligence powers all three layers, so organizations do not need separate tools or policy stacks for different parts of the AI workflow.
A key innovation is Bonfy’s own MCP server, which agents can call inline as they think and act. When teams define an agent, they can simply instruct it to “verify with the Bonfy service that this content contains no PII or restricted customer data before sending,” and the LLM will treat Bonfy as a tool for compliance and privacy inspection. During execution, the agent calls Bonfy’s MCP server with the content it plans to use or share, receives a risk assessment and labels in real time, and then uses those results in its reasoning to decide whether to proceed, redact, or take a different path, turning data security into an active part of the agent’s decision-making instead of an after-the-fact control.
Executive Perspective
“AI agents are quickly becoming the most powerful force-multipliers inside the enterprise, and also one of the most dangerous new attack surfaces,” said Gidi Cohen, CEO and co‑founder of Bonfy. “Most solutions today focus on how agents are configured; Bonfy focuses on the data flowing through them, giving organizations systematic data security for AI agents at every step, from grounding and access, through data-in-use inspection with our MCP server, to the emails, files, and workflows those agents ultimately generate.”
Customer Voices
“Before Bonfy, our team had no practical way to see which AI tools were touching sensitive customer information across email, collaboration, and our CRM,” noted a senior technology leader at a global financial services firm. “Bonfy gave us unified visibility and high-accuracy controls in days, so we could move forward with Copilot and internal agents without asking our business teams to slow down or our security team to tune yet another noisy DLP.”
“At our law firm, AI dramatically sped up drafting, but it also increased the risk of mixing clauses and client details across matters,” shared a commercial lawyer at a Fortune 500‑focused firm. “Bonfy acts as a quiet safety net on every outbound communication, catching cross-client references and sensitive terms before anything leaves the system, so we can use AI with confidence instead of fear.”
Value Proposition and Next Steps
Bonfy uniquely combines contextual, entity-aware analysis with a real-time, multi-channel architecture and agent-aware controls, giving organizations one foundational platform to protect unstructured data across humans, systems, and AI agents as adoption accelerates. By consolidating visibility, classification, and enforcement into a single engine that works everywhere content moves, Bonfy helps teams reduce tool sprawl, lower operational burden, and confidently say “yes” to AI initiatives without compromising security, privacy, or compliance.
To see how Bonfy can help your organization safely scale AI, request a demo or free trial at www.bonfy.ai/demo and explore what adaptive content security for the AI era looks like in your own environment.
About the Author
Pete Green is the CISO / CTO of Anvil Works, a ProCloud SaaS company and co-author of “The vCISO Playbook: How Virtual CISOs Deliver Enterprise-Grade Cybersecurity to Small and Medium Businesses (SMBs)”. With over 25 years of experience in information technology and cybersecurity, Pete is a seasoned and accomplished security practitioner.
Throughout his career, he has held a wide range of technical and leadership roles, including LAN/WLAN Engineer, Threat Analyst, Security Project Manager, Security Architect, Cloud Security Architect, Principal Security Consultant, Director of IT, CTO, CEO, Virtual CISO, and CISO.
Pete has supported clients across numerous industries, including federal, state, and local government, as well as financial services, healthcare, food services, manufacturing, technology, transportation, and hospitality.
He holds a Master of Computer Information Systems in Information Security from Boston University, which is recognized as a National Center of Academic Excellence in Information Assurance / Cyber Defense (CAE IA/CD) by the NSA and DHS. He also holds a Master of Business Administration in Informatics.
