Agentic Index
HiddenLayer vs Mindgard (2026)
Both secure AI systems and they start at different layers. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
HiddenLayer starts at the model: a scanner across more than 35 formats catching supply chain threats, detection and response against adversarial attacks and prompt injection, model genealogy and AIBOM governance, extended into agentic runtime in 2026. Mindgard starts at the attacker: continuous automated red teaming that maps the production attack surface then runs thousands of MITRE ATLAS and OWASP mapped attacks including chained exploits, deployed developer natively through GitHub Actions, CLI, APIs and Burp Suite. Model provenance against adversarial testing.
On the Agentic Index AI SOC ranking, neither HiddenLayer nor Mindgard clears the bar, which asks for all five investigation loop capabilities documented in full. Neither documents human oversight and guardrails in full. 24 of the 94 vendors in the lane clear it. See the AI SOC ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. HiddenLayer and Mindgard are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose HiddenLayer if
- Model supply chain is the risk: you are pulling weights from places you did not build.
- AIBOM governance and model genealogy are compliance requirements you have to satisfy.
- Detection and response against attacks in production is the control you need.
Choose Mindgard if
- You want to know what actually breaks, tested continuously rather than asserted.
- Developer native deployment through GitHub Actions and Burp Suite fits your pipeline.
- MITRE ATLAS and OWASP mapping is how your reporting has to be structured.
| At a glance | HiddenLayer | Mindgard |
|---|---|---|
| Category | Security / SOC agent | Security / SOC agent |
| Entry price | Contact sales | Contact sales |
| Free / trial | Not published | Not published |
| Pricing confidence | contact only | contact only |
| Feature | H HiddenLayer |
M Mindgard |
|---|---|---|
| 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. |
Full / Explicit | 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. |
Partial | 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. |
Partial | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | 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 | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| 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 | H HiddenLayer |
M Mindgard |
|---|---|---|
|
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 |
AI agent program maturity / capability tier and scope of models and agents secured | scope of AI models, agents, and applications under continuous testing, plus expert services |
|
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 |
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