Agentic Index
Knostic vs WitnessAI (2026)
Both stop AI systems revealing what they should not, at different layers, at 7.5 and 8.5 of 14.
WitnessAI applies intent based behavioural controls at the network layer, analyzing the meaning behind each prompt to block multi turn attacks and contextual jailbreaks, monitoring which agents are active and what they touch, and connecting human and agent identities. Knostic works at the knowledge layer, preventing assistants like Microsoft 365 Copilot and Glean from oversharing, capturing per user per topic need to know policies and simulating employee queries to find exposure before staff do. WitnessAI stops the attack; Knostic stops the accident, and oversharing is usually the accident.
Choose Knostic if
- Copilot or Glean oversharing is your live problem and identity controls have not fixed it.
- Simulating employee queries to find exposure before staff do is the proactive control.
- EU AI Act, ISO 42001 and NIST AI RMF alignment maps to your obligations.
Choose WitnessAI if
- Documented coverage is broader and adversarial attacks are the threat you fear.
- Network layer enforcement stops things rather than reporting them.
- Connecting human and agent identities is the visibility gap you cannot close.
| At a glance | Knostic | WitnessAI |
|---|---|---|
| Category | Security / SOC agent | Security / SOC agent |
| Entry price | Contact sales | Contact sales |
| Free / trial | Copilot Readiness Assessment offered as an entry point | Not published |
| Pricing confidence | contact only | contact only |
| Feature | K Knostic |
W WitnessAI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | K Knostic |
W WitnessAI |
|---|---|---|
|
Entry price Lowest public entry point |
Contact sales | Contact sales |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
scope of enterprise AI assistants and knowledge sources under governance | scope of AI interactions, users, and agents governed across the enterprise network |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |