Kyde vs WitnessAI
Despite the similar space, these are two different products for two different questions. WitnessAI is an AI security platform focused on visibility and guardrails for how your workforce uses AI: it observes traffic, infers intent, and applies policies to risky usage. Kyde is a behavioral firewall for autonomous AI agents: it sits at the network boundary, enforces deterministic rules before an action executes, and records every agent action in a hash-chained, tamper-evident ledger. In one sentence: WitnessAI estimates what your AI is trying to do. Kyde defines what your agents may do, and proves what they did.
Choose WitnessAI if
- →Your main risk is employees using ChatGPT, Copilot and other AI apps in uncontrolled ways
- →You want broad visibility into AI usage across the company, fast
- →You value a mature, well-funded platform with enterprise references in finance, automotive and aviation
Choose Kyde if
- →Autonomous agents act on your systems and you are liable for what they do
- →You need enforcement that blocks out-of-policy actions before execution, not alerts after
- →A regulator, auditor or court will one day ask you to prove what an agent did. Inference is not evidence. A hash-chained ledger is.
| WitnessAI | Kyde | |
|---|---|---|
| Primary use case | Employee AI usage security and governance | Autonomous agent governance at the boundary |
| No-code deployment, shadow-agent coverage | Partial: network-level visibility for known egress | Yes: network egress proxy, one environment variable, covers agents that never opted in |
| Blocks before execution | Yes, policy-based controls | Yes, deterministic deny-by-default. No probabilistic scoring in the enforcement path |
| Approach | Probabilistic intent inference | Deterministic mandate: what is not allowed does not execute |
| Audit trail | Logging, not cryptographically verifiable evidence | Hash-chained, tamper-evident, vendor-independent ledger (Ed25519 signing on Enterprise) |
| Agent fleet RBAC | Not a core concept | Per-agent roles, per-tool policy, MCP routing |
| EU sovereignty, Article 25 posture | US vendor, cloud-centric | Edge enforcement in your perimeter, external proxy, deployer status preserved |
| Regulatory anchor | General AI security | Built for NIS-2, DORA and EU AI Act evidence duties |
What WitnessAI does well
Credit where due: WitnessAI grew fast and serves demanding enterprises. Its observe layer gives CISOs something they badly need on day one, a picture of how AI is actually used across the workforce. Its guardrails catch risky prompts and data flows in employee AI usage. If your AI risk today is mostly humans pasting secrets into chatbots, WitnessAI addresses that problem well.
Where the approaches differ
The difference is architectural, not cosmetic. WitnessAI infers intent: it analyzes traffic and estimates whether something risky is happening. That works for monitoring humans, because humans are unpredictable and you cannot write rules for everything they might type.
Agents are different. An agent is software acting under a mandate you gave it. For agents, guessing is the wrong primitive. Kyde takes the legal-system approach instead of the alarm-system approach: you define what each agent may do, Kyde enforces it deterministically at the boundary the agent cannot route around, and every action lands in a hash-chained ledger. The same action is either covered by policy, or it does not execute.
What that means in an audit
Under NIS-2, board members are personally liable. Under DORA, financial entities must prove operational control. When an incident happens, "our platform flagged the session as medium risk" is an observation. "This action was blocked, this one executed under policy version 14, here is the tamper-evident record" is evidence. That is the gap Kyde exists to close. The suspect cannot write the police report, and neither should the agent vendor: Kyde is independent of every model provider.
Can you run both?
Yes, and some teams should. WitnessAI for workforce AI usage, Kyde for autonomous agents at the boundary. They answer different questions and meet at the same buyer. If budget forces a choice and your agents already touch production systems, customer data or payments, start where the liability is: the agent boundary.
Is Kyde a replacement for WitnessAI?
Only if your primary problem is agent governance. For employee AI usage monitoring, WitnessAI is the more specialized tool. For enforcing and proving what autonomous agents do, that is Kyde.
Does WitnessAI cover shadow agents?
It provides network-level visibility for known egress paths. Kyde is built for the shadow agent problem: it sits at the egress boundary, so agents that never registered, never imported an SDK and never asked permission are still governed.
Which one satisfies EU AI Act logging duties?
Article 12 requires automatic, trustworthy logs for high-risk systems. Kyde produces hash-chained, vendor-independent records designed for exactly this evidence duty, with Ed25519 signing available on the Enterprise tier. High-risk enforcement begins December 2, 2027. NIS-2 and DORA apply today.
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