Agentic Index
HiddenLayer vs Pillar Security (2026)
Both vendors last verified
HiddenLayer and Pillar Security both discover, test and protect the customer's AI, and both can run in the customer's own environment. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
HiddenLayer adds model supply chain scanning, which flags malware and tampering in model files and produces an AIBOM from a CLI or a GitHub Action, and replays agent sessions turn by turn, and it runs as SaaS or self hosted. Pillar maps exploitable paths across tools, prompts and data with RedGraph, runs multi turn and black box attacks, logs every tool call and deploys in the customer's VPC. Neither publishes a price. Choose HiddenLayer when model files and the AI supply chain are in scope, and Pillar for attack path mapping across agent tools.
On the Agentic Index AI SOC ranking, neither HiddenLayer nor Pillar Security clears the bar, which asks for all five investigation loop capabilities documented in full. Neither documents workflow orchestration in full, nor human oversight and guardrails. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking
On the Agentic Index agent infrastructure ranking, neither HiddenLayer nor Pillar Security clears the bar, which asks for all five production contract capabilities documented in full. HiddenLayer does not document model flexibility and routing in full; Pillar Security does not document security and identity governance in full, nor model flexibility and routing. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. HiddenLayer and Pillar Security 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose HiddenLayer if
- Model files should be scanned for malware and tampering, with an AIBOM.
- An API and enterprise security controls are requirements.
- Agent sessions should be replayable turn by turn.
Choose Pillar Security if
- Attack paths across tools, prompts and data are the main concern.
- Black box testing matters alongside multi turn attacks.
- The platform must run in your own VPC.
| Feature | H HiddenLayer |
P Pillar Security |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Pillar SecurityIntegrations & Tool Calling Discovery connects across the customer's environment to inventory agents and models along with MCP servers and tools. Runtime guardrails block and redact agent traffic, and telemetry streams to SIEM platforms. Discovery reaches code repositories, cloud infrastructure, AI platforms and MCP servers, and the guardrails plug into AI gateways such as LiteLLM, Kong, TrueFoundry and Agent Router. SourcePillar Security, pillar.security/platform and /platform/runtime-guardrailsread 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Pillar SecurityWorkflow Orchestration The product runs a fixed loop of discovery, red teaming and runtime guardrails, with governance on top and findings that tune the guardrails. Pillar does not orchestrate the customer's agents or offer a flow the customer builds. The loop covers coding agents, MCP servers and skill marketplaces. SourcePillar Security, pillar.security/platform and pillar.securityread 2026-10-05 |
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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. |
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Pillar SecurityTriggers & Channel Coverage Runtime guardrails act on every prompt and response, and on retrieved content and tool invocations, as they happen. Behavioral monitoring flags when an agent strays from its purpose, so work starts without anyone launching it. The guardrails judge intent rather than only matching patterns, blocking prompt injection, jailbreaks and tool manipulation as they happen. SourcePillar Security, pillar.security/platform/runtime-guardrailsread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Pillar SecurityKnowledge Grounding & RAG A full inventory covers the customer's agents and models along with MCP servers and tools, with agent permissions mapped to data sources, and RedGraph maps how tools, prompts and data combine. Together they chart the customer's AI estate, including shadow AI, and Pillar describes no retrieval structure its agents draw on. Runtime guardrails also trace PII and secrets from source to destination. SourcePillar Security, pillar.security/platformread 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Pillar SecurityMemory & State Persistence There is no memory for the customer's agents. The asset map and the interaction logs are records about the agents, not memory the agents use. Sourcepillar.security/platformread 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Pillar SecurityHuman Oversight & Guardrails Runtime guardrails block malicious instructions and interactions that break data handling rules, and they redact sensitive content. Approved model lists and MCP allowlists set further limits. The customer sets these limits, and Pillar describes no step that asks a person to approve before an agent action goes through. Blocking follows configurable policies for data handling and data sovereignty. SourcePillar Security, pillar.security/platform/runtime-guardrails and /platformread 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Pillar SecuritySecurity, Identity & Governance Pillar reports a SOC 2 Type II audit, and its trust center is at trust.pillar.security. Pillar names no SSO, role model or audit surface for people using the Pillar console. SourcePillar Security, pillar.securityread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Pillar SecurityObservability & Auditability Runtime guardrails log every prompt, response and tool call with metadata and timestamps for the customer's agents, along with results, and stream telemetry to SIEM, giving a record of every tool call. Audit logs, compliance reports and policy lifecycle management sit under governance. SourcePillar Security, pillar.security/platform/runtime-guardrails and /platformread 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Pillar SecurityDeployment & Data Residency Customers can deploy Pillar in their own VPC with their own data and models, so it can run in the customer's own environment. Pillar is offered as cloud, self hosted or hybrid. SourcePillar Security, pillar.security and /platformread 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Pillar SecurityPrebuilt Agents, Templates & Packs Prebuilt guardrails ship, along with compliance reports for GDPR and CCPA and the published SAIL framework, now in version 2.0, but Pillar does not name them as a catalog and offers no prebuilt agents. The platform has five modules. They are discovery and posture, red teaming, runtime guardrails, governance and compliance, and an agentic endpoint module. SourcePillar Security, pillar.security/platformread 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Pillar SecurityModel Flexibility & Routing Pillar enforces approved model lists but offers no model choice or routing of its own. Its guardrails mask PII, PHI, secrets and credentials before they reach the models. SourcePillar Security, pillar.security/platform and /platform/runtime-guardrailsread 2026-10-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Pillar SecurityAPIs, SDKs & MCP Extensibility No public API, SDK or MCP server is published for building on Pillar. MCP allowlists are something the product enforces, not a way to build on it. AI gateways can call the runtime guardrails through an API, but Pillar publishes no reference for it. SourcePillar Security, pillar.security/platform and /platform/runtime-guardrailsread 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Pillar SecurityTesting, Debugging & Optimization Adversarial attacks over many turns target the customer's AI agents and workflows, including black box attacks on production systems, with full attack transcripts and reproduction steps, and assessments run continuously. RedGraph maps the surfaces that can be exploited in the customer's environment. This is red teaming of the agents the customer has deployed. RedGraph builds attack graphs specific to the environment, showing lateral movement and tool chaining paths that other security tools miss. SourcePillar Security, pillar.security/platformread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Pillar SecurityBrowser & Computer Use Pillar describes no browser or computer use by its own agents. It secures coding agents against prompt injection, data exfiltration, unauthorized actions, excessive permissions and malicious code execution. SourcePillar Security, pillar.securityread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | H HiddenLayer |
P Pillar Security |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no prices are published. | Contact sales; no prices published. Demo on request. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
Inference, not stated by the vendor: modules adopted and the scope of models, applications and agents covered. | Inference, not stated by the vendor: scope of AI assets, agents and applications secured. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
HiddenLayer
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· Integrations
Runtime detections for AI agents from HiddenLayer now arrive in Splunk through its HTTP Event Collector and in Microsoft Sentinel through a Log Analytics table, and model scan results reach Splunk the same way.
Source -
· Security / enterprise
AI Supply Chain Security 26.10.0 lets a tenant add multiple rules to its Supply Chain policy.
Source
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