Agent & MCP security

Pillar Security: AI agent security platform

Pillar Security is an AI agent security platform from Pillar Security. It is a commercial product offered as: SaaS, Self-hosted. Pricing model: not published.

  • Last reviewed

Best for

Security teams that want agent discovery, adversarial testing and runtime guardrails, with the option to keep data in their own VPC

Consider instead if

  • You want a guardrail API for a single LLM application rather than a platform for agents. See Lakera Guard.
  • You want an open-source scanner to probe a model before release. See garak.

What Pillar Security does

Pillar Security is a commercial platform that its homepage describes as one place to discover, test, secure and govern AI agents. It catalogs agents, models, tools, MCP servers and skills, including shadow AI, and scans agent configurations, permissions and identities. It runs multi-turn adversarial attacks and returns transcripts with reproduction steps. At runtime it applies guardrails against prompt injection and data leaks, enforces privacy rules for PII, PHI and secrets, and logs agent behavior. Pillar says it can be deployed in your own VPC, with cloud, self-hosted and hybrid options. The documentation is gated and no prices are published, so confirm packaging with the vendor.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Latest release
Not documented in the sources we checked
Documentation
Not documented in the sources we checked
API reference
Not documented in the sources we checked
Quickstart
Not documented in the sources we checked

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Pillar Security fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Pillar Security covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L7 Agent access Agent and tool access Primary Limit which tools, MCP servers, data and credentials an agent can use, and require approval for risky actions. Follows its category, Agent & MCP security
L2 Discovery Discovery and posture Also covers Documents a catalog of agents, including shadow AI. Catalogs agents, models, tools, MCP servers and skills, including shadow AI
L4 Testing Testing and red teaming Also covers Documents multi-turn adversarial attacks on agents. Runs multi-turn adversarial attacks with attack transcripts and reproduction steps

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to Pillar Security, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM01 Prompt Injection Runtime guardrails address prompt injection for apps, agent endpoints and gateways. Protects AI apps, agentic endpoints and AI gateways from prompt injection and data leaks at runtime
LLM02 Sensitive Information Disclosure Enforces data privacy for PII, PHI and secrets at runtime. Monitors agent behavior with logging and enforces data privacy for PII, PHI and secrets
LLM06 Excessive Agency Scans agent permissions and flags excessive permissions. Scans agent configurations, permissions and identities for excessive permissions

Alternatives and related tools

More in Agent & MCP security, ranked within the category by Coverage Score.

Open sourceApache-2.0
  • CLI
  • Self-hosted

Scans skills and MCP servers, inspects agent tool calls and keeps an audit trail around AI coding agents.

Best for: Security teams that want scanning, guardrails and an audit trail around the coding agents developers already run, starting in observe mode before anything is blocked

Coverage Score 76 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Open sourceMIT
  • CLI
  • Self-hosted

Proxies AI clients to MCP servers it runs as isolated Docker containers, with tool filters and call logs.

Best for: Developers and platform teams that already use Docker and want MCP servers to run in containers behind one gateway with per-server tool selection

Coverage Score 72 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

agentgateway

agentgateway (a Series of LF Projects, LLC)

Open sourceApache-2.0
  • CLI
  • Self-hosted
  • Cloud-native

Open-source proxy that applies auth, CEL policy and guardrails to LLM, MCP and agent-to-agent traffic.

Best for: Platform teams that want one open-source gateway in front of MCP servers and LLM providers, with token validation, CEL rules per MCP method and pluggable guardrails

Coverage Score 69 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Pillar Security FAQ

Is Pillar Security open source?

No. It is a commercial platform, and we found no public source repository for the product.

Where can Pillar Security be deployed?

The homepage says you can deploy it in your own VPC and lists cloud, self-hosted and hybrid options.

Does Pillar Security publish prices?

No. The homepage states no prices and directs readers to request a demo.

Key facts you can cite

We have no commercial relationship with Pillar Security.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.