Red {Teaming} & Risk Detection

Dynamically catalog AI assets in your organization, map dependencies, and assess security posture across your entire AI stack.

Map your AI landscape, assess risk, and enforce policy across every system

AI Inventory

Complete AI Discovery

Catalog AI agents, models, prompts, tools, and Coding agents

Trace Origin

Supply Chain Mapping

Trace dependencies across models, datasets, and frameworks

Health Score

Security Posture Assessment

Prioritize risks across your AI stack

Compliance

Policy Enforcement

Flag unsanctioned AI systems and compliance gaps instantly

CLOSE THE LOOP

Discover Every AI Asset

Pillar flags violations when unsanctioned AI appears in your environment. PolicPillar catalogs agents, models, prompts, tools, MCP servers, and coding agents through agentless integrations with source code repos, data platforms, and endpoints. The platform detects shadow AI across your organization, identifying unauthorized systems as teams deploy them Pillar enabled the adoption of safe AI usage by enforcing policies on approved AI assets.y rules enforce approved models, frameworks, and data sovereignty standards across your AI stack.

Discover Every AI Asset

Agentless Integration: Connect to repos, data platforms, and endpoints without agents

Continuous Scanning: Detects new AI systems as teams deploy them

Shadow AI Detection: Identify unauthorized models, coding agents, and MCP servers

Business Context Mapping: Link assets to owners, departments, and data sensitivity

Enforce Approved AI Policy: Define and maintain a unified approved AI policy across multiple assets

STAY AHEAD OF THE ADVERSARY

Assess Security Posture

Pillar assesses risks in your AI stack from vulnerabilities in models, frameworks, and dependencies. The platform prioritizes findings based on business impact and exposure, mapping them to industry standards.

Assess Security Posture

Supply Chain Analysis: Trace dependency chains and validate model provenance

Vulnerability Detection: Identify security flaws in AI components and integrations

Risk Prioritization: Rank findings by severity, business context, and exploitability

Posture Tracking: Pillar integrated with ticketing and operational system to alert on critical issues demanding immediate response

CLOSE THE LOOP

Enforce Policy and Governance

Pillar flags violations when unsanctioned AI appears in your environment. Policy rules enforce approved models, frameworks, and data sovereignty standards across your AI stack.

Enforce Policy and Governance

Automated Policy Enforcement: Block and track unapproved models and stop them from being deployed

Compliance Mapping: Generate audit reports for GDPR, SOC 2, EU AI Act, and ISO 42001

Real-Time Alerting: Receive notifications when policy violations occur

Remediation Workflows: Trigger automated responses to policy breaches

Used by leading Innovators

“We have numerous AI initiatives throughout the company. Unlike traditional red teaming, RedGraph helps us identify critical risks in our AI agents by fully mapping and understanding their attack surface, providing proven attack paths that the engineering team can fix immediately. This marks a significant improvement in our security measures.”

Tomer Maman
Founder & CEO

“Prior to RedGraph, our adversarial AI teams were bottlenecked by limited, manual tools. Now, we launch end-to-end security assessments at massive scale. The exploit validation is a game changer. When engineers see the actual attack path, there's no debate about severity or priority.”

Security lead, Global 2000 company
GET A PERSONALIZED DEMO

See Pillar in action

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In your 30 minute personal demo, you will learn how Pillar:

Seamlessly integrates with your code, AI and data platforms and provide full visibility into AI/ML assets.

Automatically scan and evaluates your AI assets for security risks.

Enables you to create and enforce AI security policies in development and runtime.

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