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What is Pillar Security?

Pillar Security operates as a holistic AI security platform aimed at protecting the agentic workforce throughout the complete AI lifecycle, from initial development through deployment and into continuous runtime safeguarding. By embedding business context in its processes of discovery, testing, and protection, the platform guarantees that security intelligence builds up across a variety of AI applications, which include agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and environments such as SaaS and cloud. This capability allows organizations to effectively pinpoint and manage their AI assets, even those that are unauthorized or categorized as shadow AI, while assessing risks tied to the supply chain and their overall security framework. Furthermore, it outlines the attack surfaces linked to agentic systems and assesses critical vulnerabilities that require attention. Through its AI Security Posture Management functionalities, Pillar meticulously analyzes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain components to uncover high-risk pathways, policy violations, misconfigurations, and potential threats from coding agents, thereby deepening the understanding of the ramifications when any single element is compromised. Ultimately, Pillar Security not only enables organizations to uphold a strong security framework but also equips them to adeptly navigate the multifaceted landscape of AI technology, fostering a culture of proactive security management that evolves alongside emerging threats.

What is Mountain Theory?

Mountain Theory is AI security for companies running autonomous AI agents. Before an agent's action runs, Mountain Theory checks it against your rules and allows it, holds it for a person to approve, or blocks it. It stops an agent working around a block, catches an agent drifting off the task it was given, and stops new bad behavior on the day it first appears, with no new rule needed. It also keeps personal data from leaving and blocks instructions hidden in documents. Rules are written in plain English with no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. We publish our recorded tests, misses included.

Media

Media

Integrations Supported

Agentforce 360 for Financial Services
Amazon Bedrock
Bitbucket
Cisco CX Cloud
Claude
CrewAI
Cursor
Databricks
GitHub Copilot
LiteLLM
Microsoft Azure
Microsoft Copilot
Milvus
Okta
Snowflake
Swarm
Tavily
UiPath
Zapier
Zscaler

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Paid plans use flat annual pricing. A 30-day proof of concept is available.

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Pillar Security

Company Location

United States

Company Website

www.pillar.security/

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

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