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Pillar Security

Also known as: Pillar, Pillar Security, pillar.security, Pillar RedGraph, Pillar SAIL

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Unified AI security platform where offense and defense work as one system across the AI lifecycle: discovery and posture (AI-SPM cataloging models, tools, MCP servers, coding agents), a first-class Gartner-recognized red-teaming pillar (RedGraph offensive agentic testing, tool-use and black-box red teaming), runtime guardrails over agentic tool calls and permissions, and governance and compliance. A red-team finding becomes a policy becomes a retest, so protection compounds. Tops the AI-agent-security cluster on the strength of its offensive-testing loop.

Pillar Security is a unified AI security platform that secures the entire AI lifecycle from development to deployment, built on the conviction that securing AI agents takes offense and defense working as one system rather than a stack of point tools. It has four connected pillars.

AI Discovery and Posture uses agentless integrations with code repos, data platforms, AI/ML frameworks, IdPs, and endpoints to auto-discover and catalog every AI asset (models, datasets, prompts, tools, MCP servers, coding agents, meta prompts), detect shadow AI, map dependencies, and run static and dynamic AI Security Posture Management across assets and their interconnections.

Red Teaming and Attack Surface Exposure is its standout: RedGraph offensive agentic testing (recognized by Gartner), red teaming for tool use that models how chained tool and API calls can be weaponized (revealing vulnerabilities that prompt-based testing cannot), and black-box target-based red teaming where adversarial agents stress-test any accessible AI application with just a URL and credentials.

Runtime Guardrails track every tool invocation, decision pattern, and permission across agentic workflows, log every interaction with metadata for audits and threat hunting, and catch issues like an agent inheriting broad permissions from its maker's identity and operating outside its intended boundary. Governance and Compliance enforce AI policies, translate them into technical controls (approved models, licensing, data sovereignty), validate third-party AI before it touches internal data, and generate audit-ready reports.

Business context connects all four so intelligence compounds: a red-team finding becomes a policy, the policy becomes a retest that proves it fixed, and runtime telemetry flows back into the asset map and the next round of attack simulations. This closed offense-defense loop is what distinguishes Pillar from the agent-native governance platforms and the model-security incumbents in the same cluster.

Vendor details

Canonical URL

https://pillar.security

Category

Security / SOC agent

Funding status

Independent, venture-backed. Tel Aviv, co-founded by CEO Dor Sarig; team drawn from offensive cybersecurity, military intelligence, threat intelligence, and AI. Named a 2026 Gartner Cool Vendor in AI Software Security (recognized for its RedGraph offensive agentic testing, dynamic runtime guardrails, and SAIL Framework) and a Representative Vendor in Gartner's 2026 Market Guide for Guardian Agents.

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

cloud-delivered platform with agentless integrations into code repos, data platforms, AI/ML frameworks, IdPs, endpoints, and local environmentsruntime enforcement at the application layer and on the agentic endpoint

Integrations

Agentless integrations with source-code repositories, data platforms, AI/ML frameworks, identity providers, cloud infrastructure, endpoints, and local environments automatically discover and catalog every AI asset: models, datasets, prompts, tools, MCP servers, coding agents, and meta prompts, with business-ownership and use-case context. Runtime guardrails enforce at the application layer and on the agentic endpoint; governance extends to external AI providers, SaaS platforms, and vendor integrations.

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool Calling Full

Agentless integrations with source-code repos, data platforms, AI/ML frameworks, IdPs, cloud, endpoints, and local environments discover and catalog models, tools, MCP servers, and coding agents, Pillar AI-discovery and Hacker News walkthrough 2026-07-22

Workflow Orchestration Full

Unified platform orchestrates discovery, posture, red teaming, runtime guardrails, and governance in a closed loop across the entire AI lifecycle, securing multi-agent workflows end to end, Pillar platform and Gartner Cool Vendor materials 2026-07-22

Knowledge Grounding & RAG Partial

Grounds decisions on a dynamic asset catalog with business-ownership and use-case context, dependency mapping, and AI fingerprinting so business context connects discovery, testing, and protection, short of a customer-facing knowledge or retrieval product, Pillar platform materials 2026-07-22

Human Oversight & Guardrails Partial

Security teams set governance policies that become technical controls and dynamic runtime guardrails calibrated by validated findings, with some automated remediation, a policy-and-guardrail oversight model short of documented step-level runtime approval, Pillar platform and homepage materials 2026-07-22

Security, Identity & Governance Full

Pillar is itself an AI security and governance product: AI-SPM, runtime guardrails, delegated-identity and permission-boundary detection, governance and compliance, controls, and third-party AI validation, Pillar homepage and platform materials 2026-07-22

Observability & Auditability Full

Gives full inventory visibility (every model, dataset, and prompt in one dashboard), logs every interaction with metadata for audits and threat hunting, and generates audit-ready reports mapped to leading frameworks, Pillar homepage and platform materials 2026-07-22

Memory & State Persistence Partial

Maintains a persistent asset map that runtime telemetry and validated red-team findings feed back into for the next round of attack simulations, plus logs of every interaction with metadata, a persistent state layer short of an agent memory product, Pillar Gartner-Cool-Vendor and platform materials 2026-07-22

Deployment & Data Residency Partial

Agentless deployment spanning cloud, endpoints, and local environments with governance controls for data sovereignty, implying deployment flexibility short of a documented customer self-host or residency guarantee, Pillar platform and AI-discovery materials 2026-07-22

Prebuilt Agents, Templates & Packs Partial

Ships four productized pillars plus the published SAIL Framework, prebuilt guardrails and policies, and audit-report templates mapped to standards, a productized starting set short of a customer template library, Pillar platform and Gartner materials 2026-07-22

Triggers & Channel Coverage Full

Runtime guardrails track every tool invocation, decision pattern, and permission across agentic workflows in real time at the application layer and on the endpoint, a continuous runtime trigger surface, Pillar homepage and platform materials 2026-07-22

Model Flexibility & Routing Unable to verify

No customer-facing model choice or routing; Pillar governs and enforces approved models rather than serving or routing them for building agents, Pillar materials 2026-07-22

APIs, SDKs & MCP Extensibility Partial

Agentless integrations via API with native MCP and tool security (cataloging and securing MCP servers), an integration and MCP surface short of a documented public SDK for building on Pillar, Pillar platform and AI-discovery materials 2026-07-22

Testing, Debugging & Optimization Full

Red Teaming and Attack Surface Exposure is a first-class Gartner-recognized pillar: RedGraph offensive agentic testing, red teaming for tool use that models chained tool/API weaponization prompt-based testing cannot detect, and black-box target-based red teaming where adversarial agents stress-test any app with just a URL and credentials, in a closed loop feeding guardrails, Pillar Gartner-Cool-Vendor and Hacker News walkthrough 2026-07-22

Browser & Computer Use Unable to verify

No general browser or computer-use product; adversarial red-team agents probe target applications as a security-testing method rather than as a computer-use automation capability, Pillar materials 2026-07-22

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify 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

scope of AI assets, agents, and applications secured across the AI lifecycle

What is public

The four platform pillars are public (discovery and posture, red teaming, runtime guardrails, governance and compliance) and the SAIL Framework is published; no dollar amounts are disclosed.

Variable cost rationale

Cost scales with the scope of AI assets, agents, and applications secured across the AI lifecycle, growing as an organization's AI footprint and number of production agents expand.

Sales call required

Yes, required for paid access

Free / trial

Not published

Agentic Index verified 2026-07-22

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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