2026 WINNER · CYBERSECURITY STARS AWARDS
Bonfy ACS · Context-Aware Data Protection for AI Systems and Autonomous Agents
Best AI Security Solution
Overview
Bonfy Adaptive Content Security™ (Bonfy ACS™) is an AI data security platform that protects unstructured data everywhere it moves – across email, files, SaaS apps, collaboration tools, GenAI applications, copilots, and AI agents – with contextual, entity‑aware controls purpose‑built for the AI era. Unlike legacy DLP and DSPM tools built for static, human‑only workflows, Bonfy delivers real‑time visibility, high‑accuracy classification, and preventative enforcement across both human and AI‑driven activities, so organizations can safely scale AI without creating new security, privacy, or compliance risk.
By understanding the people, customers, and consumers behind the data, Bonfy ACS dramatically reduces false positives and enables confident automation in AI‑assisted and fully agentic workflows, including M365 Copilot, SaaS AI assistants, internal GenAI apps, and autonomous agents. Its unified, multi‑channel architecture spans data in motion, at rest, and in use, giving security teams a single control plane to govern how sensitive content is accessed, transformed, and generated by AI systems while enhancing existing investments like Microsoft, Google, Salesforce, and Slack.
Key Capabilities
- AI‑powered contextual intelligence and knowledge graph
Bonfy ACS builds an adaptive knowledge graph that learns your organizational structure, customers, consumers, and relationships, allowing it to understand who data belongs to rather than just matching patterns or keywords. This enables high‑accuracy risk detection across unstructured data, dramatically reducing false positives and false negatives compared to traditional classifiers. - Unified, multi‑channel data protection
One architecture protects data in motion, at rest, and in use across email, files, SaaS apps, collaboration tools, Copilot, GenAI apps, and AI agents, eliminating channel‑specific blind spots. Security teams get a single control plane to monitor and govern how sensitive content is accessed, shared, and transformed across systems and workflows. - Granular classification, labeling, and policy enforcement
Bonfy automatically classifies and labels unstructured content with granular, entity‑aware tags and can publish labels to systems like Microsoft Purview to control what AI indexes and uses. Its flexible policy engine combines out‑of‑the‑box templates with customizable logic and natural‑language rules, enabling precise governance aligned to privacy, regulatory, and trust‑boundary requirements. - Real‑time input, output, and data‑in‑use controls for AI
The platform inspects prompts, uploads, and inbound content (input control), as well as AI outputs, emails, messages, and files (output control), to prevent silent spills, hallucinated leakage, and misdirected communications. Through its MCP server, Bonfy adds a "data‑in‑use" layer where AI agents can call Bonfy during their reasoning process to verify that content is safe before acting or sending. - Entity Risk Management for humans, systems, and AI agents
Bonfy links content exposures to specific employees, partners, service accounts, and AI agents, providing entity‑level risk scoring and behavioral insights. This lets organizations identify which actors generate the highest data risk and automate enforcement for risky entities across channels. - Deep ecosystem integrations and flexible deployment
The platform integrates with major SaaS and security systems, including Microsoft 365, Copilot, SharePoint, Salesforce, HubSpot, Slack, and SIEM/SOAR tools, and can run as multi‑tenant SaaS or in a bring‑your‑own‑cloud model. This makes it easier for enterprises, especially in regulated sectors, to onboard quickly and align Bonfy with existing investments and governance models.
How we are different
- Entity‑aware, business‑context engine vs. pattern‑matching DLP
Unlike legacy DLP and DSPM tools that rely on static rules and generic classifiers, Bonfy's entity‑aware analysis understands the business relationships behind data – such as which customer, consumer, or tenant is involved. This context allows Bonfy to distinguish generic from customer‑specific content, drastically reducing noise and enabling safe, automated enforcement in complex AI flows. - AI‑native architecture designed for agents and GenAI
Bonfy is purpose‑built for GenAI, copilots, and AI agents, including system‑level and browser‑based agents that plan, reason, call tools, and act across enterprise systems. Its input, output, and data‑in‑use controls – including the MCP server that agents can call inline – provide a dedicated AI safety layer that traditional tools do not offer. - Single platform for humans and AI across channels
Many solutions are point tools focused on either a single channel (email, web, a specific SaaS app) or a narrow slice of AI risk, forcing teams into tool sprawl and inconsistent policies. Bonfy instead unifies visibility, classification, and enforcement across human and AI‑generated content, giving organizations one foundational platform to protect unstructured data enterprise‑wide. - Phased path from visibility to prevention with low operational lift
Bonfy is designed to deliver meaningful insights in days and support a phased journey from monitoring to automation to full prevention based on each organization's risk tolerance and AI maturity. High accuracy reduces tuning and alert fatigue, lowering total cost of ownership and making it feasible for lean security teams to govern rapidly expanding AI ecosystems. - Built as a "guardian AI" for content and compliance
The company's founding vision is to act as a guardian AI that oversees both AI‑generated and human‑generated content, ensuring it aligns with security, privacy, and regulatory standards as AI takes a larger role in language and decision‑making. This positions Bonfy not just as another DLP tool, but as a strategic control plane for safe, trustworthy AI adoption.
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