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
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 |
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