Sold by: Pillar Security
Deployed on AWS
Pillar Security is the learding enterprise platform to discover, govern, and secure every AI application and agentic system, from development through runtime.
Overview
AI is rewriting the enterprise attack surface. Autonomous agents take actions on their own, MCP servers connect directly to production systems, and embedded AI features sit inside the applications and SaaS platforms your business build and run on. The AppSec, cloud, and endpoint tools enterprises rely on were never designed to see these systems, let alone govern them, and model-only testing misses the tool chains, data connections, and multi-agent workflows where real attack paths live.
Pillar Security is the unified platform for securing AI across its full lifecycle. One platform brings together five capabilities: discovery of every agent, model, MCP server, and tool, including shadow AI; posture management that continuously scores risk and flags excessive permissions; agentic red teaming that maps real attack paths through your live environment rather than testing models in isolation; adaptive runtime guardrails calibrated to each agent's intended business purpose; and governance that enforces policy and produces audit-ready evidence for frameworks like GDPR and internal AI standards.
What sets Pillar apart is business context. Discovery, testing, and protection share one understanding of what each agent is supposed to do, so guardrails fire on real deviations instead of generic anomalies, red teaming surfaces exploitable paths specific to your stack, and security intelligence compounds across the lifecycle rather than fragmenting across point tools.
Pillar covers homegrown AI applications, agentic endpoints, AI gateways, MCP and tool integrations, multi-agent orchestrations, and embedded SaaS AI, giving security and engineering teams a single source of truth across every AI system in production.
Highlights
- Unified platform to discover, test, govern, and secure every AI agent, model, MCP server, and tool across your organization, from development through runtime, including shadow AI that traditional AppSec, cloud, and endpoint security tools miss.
- Map real attack paths in your live AI environment and agentic systems with adversarial red teaming that simulates lateral movement across tools, prompts, and data, exposing exploitable surfaces specific to your stack instead of model-level vulnerabilities alone.
- Protect production with adaptive runtime guardrails calibrated to each agent's business purpose, and prove control with audit ready governance and policy enforcement for GDPR and internal AI standards.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Pillar Security Platform | One platform to discover, test, govern, and secure every AI agent across your organization | $175,000.00 |
Dimensions summary
This listing has one pricing dimension, billed under a contract as Units. You buy the Pillar Security Platform to discover, test, govern, and secure AI agents across your organization. Pricing scales with the number of Units you commit to. The single dimension covers the platform as a whole, including AI discovery and posture, red teaming and attack surface mapping, runtime guardrails, and governance and compliance. You select your Unit quantity for the contract term rather than choosing among separate tiers or add-ons.
Top-of-mind questions for buyers
The pricing table defines a Unit as the metering measure for the platform contract, but it does not specify what a single Unit maps to concretely. The platform catalogs agents, models, prompts, tools, and MCP servers across your environment. To confirm exactly how Units are counted against these assets, contact the vendor.
One contract covers the whole platform. You get AI discovery and posture to catalog agents, models, and shadow AI. You get red teaming that maps attack paths. You get runtime guardrails that block prompt injection and mask sensitive data. You get governance and compliance reporting for standards like GDPR and ISO 42001.
Cost scales with the number of Units you commit to under the contract. You choose a Unit quantity for the term rather than paying per event or per scan. If your AI environment grows beyond your committed Units, contact the vendor to confirm how additional coverage is handled.
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