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Pillar Security

Also known as: Pillar RedGraph, Pillar SAIL

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Entry priceContact sales; no prices published. Demo on request.Full pricing detail

AI security platform that inventories the customer's agents and MCP servers, red-teams them with multi-turn and black-box attacks, and applies runtime guardrails that log every tool invocation; deployable in the customer's VPC.

Pillar Security sells a platform to find, test and protect the AI agents, models and tools an enterprise builds or adopts. Discovery keeps a full inventory of agents, models, MCP servers and tools, including shadow AI, and maps agent permissions to data sources and external connections.

RedGraph maps how tools, prompts and data combine into exploitable surfaces in the customer's environment, and red teaming runs multi-turn adversarial attacks against the customer's agents and workflows, including black-box attacks on production systems the customer does not control, with full attack transcripts, reproduction steps and continuous assessments.

Runtime guardrails flag deviations from each agent's defined business purpose, trace PII and secrets, block malicious instructions and violations, redact sensitive content, and log prompts, responses, tool invocations and results with timestamps, streaming telemetry to SIEM. Governance covers audit logs, compliance reports, approved model lists and MCP allowlists. Pillar can deploy in the customer's own VPC and states a SOC 2 Type II audit.

Vendor details

Canonical URL

https://pillar.security

Category

Security / SOC agent

Funding status

Independent, venture-backed; co-founded by CEO Dor Sarig and Ziv Karliner; investors named on the about page include Shield Capital and Golden Ventures; Pillar reports 2026 Gartner recognition in AI software security.

Company status

independent

Use cases & customers

Primary use cases

AI asset discovery, posture, and shadow-AI detectionoffensive agentic red teaming and attack-surface exposure (RedGraph)runtime guardrails for agentic workflows (tool calls, permissions)MCP and tool securityAI governance, compliance, and third-party AI validation

Target customers

enterprise security teams securing production AI agentsFortune 500 and regulated healthcare, commerce, and tech companiesorganizations with homegrown, embedded, and third-party AIteams needing offensive AI red teaming plus runtime protection

Deployment options

SaaSdeployment in the customer's own VPC with the customer's data and models

Integrations

Discovery across the customer's environment for agents, models, MCP servers and tools; SIEM streaming for runtime telemetry; runtime protection for homegrown AI, agentic endpoints, AI gateways, MCP and embedded AI. No public API or SDK is published for building on Pillar.

In practice

Teams across your company have spun up agents and MCP servers no one has reviewed. Pillar inventories every agent, model, MCP server and tool, including shadow AI, and maps their permissions to data.

Before an agent goes to production you need to know how it can be broken. Pillar red teams it with attacks over many turns and returns full transcripts and reproduction steps.

Your AI app handles PHI. Pillar's runtime guardrails mask PHI and secrets before they reach the model and log every prompt and tool call for audit.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling Full

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

Workflow Orchestration Partial

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

Knowledge Grounding & RAG Partial

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

Human Oversight & Guardrails Partial

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

Security, Identity & Governance Partial

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

Observability & Auditability Full

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

Memory & State Persistence Not documented

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

Deployment & Data Residency Full

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

Prebuilt Agents, Templates & Packs Partial

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

Triggers & Channel Coverage Full

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

Model Flexibility & Routing Not documented

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

APIs, SDKs & MCP Extensibility Not documented

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

Testing, Debugging & Optimization Full

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

Browser & Computer Use Not documented

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

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact sales; no prices published. Demo on request.

Inference, not stated by the vendor: scope of AI assets, agents and applications secured.

What is public

The platform modules and the SAIL framework are public; no plans or prices are disclosed.

Variable cost rationale

Inference, not stated by the vendor: cost likely grows with the AI assets and agents secured.

Sales call required

Yes, required for paid access

Free / trial

Not published

Agentic Index verified 2026-09-28

Alternatives to Pillar Security

The closest documented capability profiles to Pillar Security among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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