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Build and Run Secure AI Systems
One platform to identify, assess and mitigate security risks across your entire AI lifecycle
Your AI Security Operating Model
"Gartner named Pillar Security a Representative Vendor in their 2026 "Market Guide for Guardian Agents."
“Pillar Security is quickly becoming a leader in end-to-end protection for AI applications due to offering a full suite of application protection features, from mapping agentic interactions to protecting them at runtime.”
"Pillar provides the precision and runtime intelligence necessary to ensure that your AI agents do not become your organization's most dangerous insider threat."
"Pillar stands out not only for the depth and breadth of its technology, but for its ability to harmonize security, compliance, and innovation. It enables organizations to move fast without losing visibility, to scale confidently without compromising safety, and to build with AI, securely and responsibly, from the start."
"This is where tools like Pillar is clearly differentiated, as they provide both runtime protection and granular visibility into AI-driven applications, alongside a more robust mapping of AI application architectures."
The foundation for safe and secure AI agents
Accelerate your AI journey with comprehensive visibility, continuous risk assessment, and adaptive protection.
Discover Your AI Landscape and Assess Security Posture
Map Your AI Attack Surface and Test What Matters
Secure AI Runtime with Adaptive Guardrails
Operationalize AI Governance at Scale
Discover and Manage
Your AI Assets Everywhere
Map your AI landscape with business context, assess risk, and enforce policy across every system.
Catalog AI agents, models, prompts, frameworks, tools, MCP servers, skills and coding agents through seamless integrations — including shadow AI and unapproved systems deployed without oversight.
Trace dependencies across models, datasets, and frameworks with automated model scanning to detect vulnerabilities, misconfigurations, and malicious artifacts.
Flag unsanctioned AI systems and compliance gaps instantly. Define approved models, frameworks, and data sovereignty standards to block violations.
Assess AI Risks and
Ship with Confidence
Map risks and exploitable paths across agents, tools, and data to validate vulnerabilities that actually matter.
Map how agents, tools, permissions, and data sources connect across your AI environment to prioritize remediation based on blast radius when any single component is compromised.
Execute multi-turn adversarial attacks against complete AI systems to test tool orchestration, permission escalation, and agentic workflows.
Prove exploitability with attack transcripts, recordings and reproduction steps. Feed validated findings into adaptive guardrails for immediate protection.
Secure AI Runtime with Adaptive Guardrails
Detect malicious intent, analyze agentic behavior, enforce data privacy, and monitor every interaction.
Automatically refine protective measures by continuously leveraging insights from red teaming exercises and real-world interactions.
Identify and protect PII, PHI, credentials, and secrets flowing through AI interactions in real time. Automatically mask, block, or log sensitive data before exposure to models or external systems.
Track tool invocations, decision patterns, and permissions across agentic workflows. Log every interaction with metadata for audits and threat hunting.
Govern AI Systems and Protect Sensitive
Data
Enforce AI policies, automate compliance evidence, and govern every AI system across your organization.
Translate governance policies into technical controls that enforce approved models, licensing, and data sovereignty at every stage.
Extend governance controls to external AI providers, SaaS platforms, and vendor integrations. Validate third-party AI systems against your security policies before they access internal data.
Generate audit-ready reports mapped to leading standards and frameworks from discovery, security posture, risk assessment, and guardrail telemetry.
Powered by Real-World Threat Intel and Adversarial AI Research
Pillar has assembled the world's brightest minds from military intelligence and enterprise security to dismantle emerging threats in the new AI landscape
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Explore the SAIL framework
The first process-driven guide to building your AI security roadmap.
Vladimir Lazic
Deputy Global CISO
Individual
contributors
Tomer Maman
CISO
Individual
contributors
Steven Vandenburg
Security Architect
Individual
contributors
Steve Mancini
CISO
Individual
contributors
Steve Paek
Expert- Cybersecurity (AI Security)
Individual
contributors
Sean Wright
CISO
Individual
contributors
Robert Oh
Chief Digital & Information Officer (CDIO)
Individual
contributors
Raz Karmi
CISO
Individual
contributors
Nir Yizhak
CISO & VP
Individual
contributors
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Moran Shalom
CISO
Individual
contributors
Mor Levi
VP Detection and Response
Individual
contributors
Matthew Steele
CPO
Individual
contributors
Manuel García-Cervigón
Security & Compliance Strategic Product Portfolio Architect
Individual
contributors
Kai Wittenburg
CEO
Individual
contributors
José J. Hernández
CISO
Individual
contributors
James Berthoty
Founder & CEO
Individual
contributors
Francis Odum
Chief Cybersecurity Analyst, Software Analyst Cyber Research
Individual
contributors
Fabian Libeau
Cyber Security GTM Lead
Individual
contributors
Erika Anderson
Senior Security and Compliance
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Individual
contributors
Dušan Vuksanovic
CEO
Individual
contributors
Colton Ericksen
CISO
Individual
contributors
Cole Murray
AI Consultant
Individual
contributors
Chris Hughes
Founder
Individual
contributors
Brandon Dixon
Former Partner AI Strategist
Individual
contributors
Head of AI Security
CISO
Individual
contributors
Assaf Namer
Head of AI Security
Individual
contributors
Allie Howe
vCISO
Individual
contributors
Bill Stout
Technical Director, AI Product Security
Individual
contributors
Casey Mott
Associate Director, Data & AI Security
Individual
contributors
Vladimir Lazic
Deputy Global CISO
Individual
contributors
Tomer Maman
CISO
Individual
contributors
Steven Vandenburg
Security Architect
Individual
contributors
Steve Mancini
CISO
Individual
contributors
Steve Paek
Expert- Cybersecurity (AI Security)
Individual
contributors
Sean Wright
CISO
Individual
contributors
Robert Oh
Chief Digital & Information Officer (CDIO)
Individual
contributors
Raz Karmi
CISO
Individual
contributors
Nir Yizhak
CISO & VP
Individual
contributors
Moran Shalom
CISO
Individual
contributors
Mor Levi
VP Detection and Response
Individual
contributors
Matthew Steele
CPO
Individual
contributors
Manuel García-Cervigón
Security & Compliance Strategic Product Portfolio Architect
Individual
contributors
Kai Wittenburg
CEO
Individual
contributors
José J. Hernández
CISO
Individual
contributors
James Berthoty
Founder & CEO
Individual
contributors
Francis Odum
Chief Cybersecurity Analyst, Software Analyst Cyber Research
Individual
contributors
Fabian Libeau
Cyber Security GTM Lead
Individual
contributors
Erika Anderson
Senior Security and Compliance
Individual
contributors
Dušan Vuksanovic
CEO
Individual
contributors
Colton Ericksen
CISO
Individual
contributors
Cole Murray
AI Consultant
Individual
contributors
Chris Hughes
Founder
Individual
contributors
Brandon Dixon
Former Partner AI Strategist
Individual
contributors
Head of AI Security
CISO
Individual
contributors
Assaf Namer
Head of AI Security
Individual
contributors
Allie Howe
vCISO
Individual
contributors
Bill Stout
Technical Director, AI Product Security
Individual
contributors
Casey Mott
Associate Director, Data & AI Security
Individual
contributors
Built in collaboration with a world-class team of AI security experts.
Securing AI for leading Innovators
Pillar is recognized by industry-leading organizations and trusted by Fortune 500 companies and AI Vertical startups to protect and accelerate mission-critical AI initiatives.
"What impressed us most about Pillar was their holistic approach to Al security. From protecting sensitive keywords to preventing prompt leaks and harmful content, they provided comprehensive coverage for our behavioral health Al platform. The ability to self-host on our cloud infrastructure while maintaining complete data control was a decisive factor for us."
Raz Karmi, CISO
"AI agents are only as reliable as the data they retrieve. By integrating Pillar's advanced security guardrails into our infrastructure, we've created a critical protection layer that ensures AI systems access only secure web content - delivering peace of mind to our global customer base."
Rotem Weiss, Founder & CEO
"With dozens of AI initiatives in development, we needed a security partner that not only pinpoints vulnerabilities but also helps remediate them automatically. Pillar’s tailored red teaming provides critical insights that continuously enrich their adaptive guardrails, uniquely aligned with each AI application's specific risk profile and business objectives—this was a game-changer for us"
Tomer Maman, CISO
"As we scale Al-driven automation in financial operations, security and visibility remain top priorities. Pillar stood out by delivering a comprehensive, adaptable solution that seamlessly integrates with our platform, providing critical visibility into GenAI transactions while protecting sensitive financial data-without compromising speed and efficiency."
Sean Wright, CISO
Any
cloud
model
SCM
AI Platform
cloud
Pillar embeds easily within your existing infrastructure and workflow.
Enterprise-Ready Scale & Security
Deployed in your Cloud
Deploy on your own VPC with your own data and models.
SOC2 Type II Report
SOC 2 Type II audit and adherence to strict security standards ensure data protection and system reliability.
Role-Based Access Controls (RBAC)
Role-based access controls make it easy to adhere to enterprise governance and security controls.
See Pillar in action
We value your privacy. See our Privacy Policy for details.
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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