Overview

Product details compiled from public sources, each with a citation.

Vendor
Bonfy.AI1 · Details at Cyber Company Profiles
Description
Inspects content moving through email, SaaS apps, Copilot, and AI agents, blocking or redacting sensitive data, with MCP server guardrails for agents and shadow AI detection.2
Deployment
SaaS2
Status
Acquired5agent
Acquisition
Acquired by Kiteworks, announced 2026-09-08. It now operates as a standalone product.5agent

Matrix Coverage

Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.

Asset class IdentifyProtectDetect Coverage Source
AI Coding and Orchestration Tools Identify: Not covered Secondary 3
AI Traffic Protect: Not covered Secondary 4
Runtime AI Data Identify: Not covered Primary 2

Framework Relevance

These frameworks include controls relevant to the asset classes Bonfy ACS defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Bonfy.AI implements these controls or is certified against them.

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Framework Asset class Relevant controls
NIST IR 8596 AI Coding and Orchestration Tools Agents as deployed artifacts (orchestration view; see AI Agent Identities row for the principal view); system prompts and templates
AI Traffic AI data flows; APIs; inference endpoints (traffic side); model registries and dataset sources
Runtime AI Data Prompts (runtime); inference data
CSA AI Controls Matrix AI Coding and Orchestration Tools Application and Interface Security; Supply Chain Management
AI Traffic Infrastructure Security; Interoperability and Portability
Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
ISO 42001 AI Coding and Orchestration Tools A.6 AI system life cycle; A.5 Assessing impacts of AI systems
AI Traffic A.8 Information for interested parties; A.9 Use of AI systems; A.10 Third-party and customer relationships
Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
Google SAIF AI Coding and Orchestration Tools Secure the AI supply chain; application and pipeline security; agent orchestration controls
AI Traffic Harden and monitor infrastructure; network-level access and egress controls
Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
SANS Critical AI Security Guidelines AI Coding and Orchestration Tools Secure Agentic Systems and AI Autonomy Controls (defined function scope; execution isolation; API and function-call gating); Limit Model Behavior (focused functionality; access controls outside the model)
AI Traffic Conventional Security Controls (authenticate and control access to inference APIs; API key management); Model I/O Handling (rate limiting; egress output filtering); Monitoring (interaction and API-usage logging)
Runtime AI Data Model I/O Handling (sanitize, validate, and filter inputs and outputs; segregate user and system prompts; multilayered prompt-injection defense); Conventional Security Controls (protect augmentation and RAG data with vector-store access controls and validation); Data Minimization and Obfuscation (limit sensitive prompt content; context-window management); Limit Model Behavior (AI guardrails)
MITRE ATLAS AI Coding and Orchestration Tools AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0016 Obtain Capabilities (malicious plugins)
AI Traffic AML.T0057 LLM Data Leakage; AML.T0024 Exfiltration via AI Inference API (network-side observation)
Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt (system prompt leaks as inference data; the AI Coding and Orchestration Tools row owns it as configuration)
OWASP AI Exchange AI Coding and Orchestration Tools Development-time threats: agent framework supply chain; runtime threats: plugin abuse, prompt injection via tools
AI Traffic Runtime threats: data leakage via AI egress; network-level access control gaps
Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
OWASP LLM Top 10 AI Coding and Orchestration Tools LLM01 Prompt Injection; LLM05 Improper Output Handling; LLM07 System Prompt Leakage; LLM10 Unbounded Consumption
AI Traffic LLM10 Unbounded Consumption (cost and rate control); shadow AI egress and output handling
Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
OWASP Agentic Security Top 10 AI Coding and Orchestration Tools ASI01 Agent Goal Hijack; ASI02 Tool Misuse and Exploitation; ASI05 Unexpected Code Execution (RCE); ASI07 Insecure Inter-Agent Communication; ASI08 Cascading Failures; ASI10 Rogue Agents
AI Traffic ASI07 Insecure Inter-Agent Communication; ASI02 Tool Misuse and Exploitation (egress and tool-invocation scope); ASI04 Agentic Supply Chain Vulnerabilities (MCP and tool-registry trust)
Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)

Provenance

Last sourced 2026-10-03.

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Sources

  1. Bonfy.AI launch press release
    Vendor source accessed 2026-06-10
  2. Bonfy ACS product page
    Vendor source accessed 2026-06-10
    • “Bonfy ACS solves the needs for data in motion and data at rest risks, and provides the options to use the solution either inline, offline, and/or in retrospective modes.”
  3. Bonfy agentic data security use case
    Vendor source accessed 2026-06-10
    • “Secure the full agent lifecycle: inputs, outputs, and data-in-use inspection via MCP.”
  4. Bonfy shadow AI security use case
    Vendor source accessed 2026-10-03
    • “Detect Shadow AI usage patterns across users, teams, and locations”
  5. Kiteworks acquires Bonfy.AI
    Vendor source accessed 2026-10-05
    • “Kiteworks will continue to offer Bonfy.AI to customers as a separate solution”

Changelog

  1. Recorded the acquisition by Kiteworks, announced on 2026-09-08; the product remains available as a separate offering.

  2. Corrected matrix coverage (erratum): moved AI app discovery to the AI Traffic row.

  3. Added to the catalog from the Bonfy.AI documentation.

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