We are thrilled to announce that the Pillar Security platform is now available on the AWS Marketplace, bringing enterprise-grade AI security to organizations worldwide through AWS's trusted cloud infrastructure.
With just a few clicks in the AWS Marketplace, organizations can deploy Pillar's comprehensive security products across their entire AI infrastructure, streamlining the experience and maximizing efficiency.
In addition, we are excited to announce today our new integration with AWS Bedrock, which significantly enhances the security and governance of AI projects within organizations. AWS Bedrock provides access to foundation models from leading AI companies, allowing users to easily customize and deploy these models for various AI applications without the need to build or train models from scratch.
Key benefits of the Pillar Security Platform
- Comprehensive AI Asset Mapping: Combines full AI fingerprinting and LLM asset inventory to provide security and compliance teams with unparalleled visibility into AI operations. This includes seamless integration with code repositories, cloud environments, and ML/data platforms for mapping AI assets, monitoring LLM application attributes, tracking changes, and mapping system interactions to ensure secure and compliant operations.
- Adversarial Resistance and Application Robustness: Pillar hardens AI systems, including multi-agentic solutions, against attacks through tailored red-teaming exercises and techniques to improve model resilience. This proactive approach helps identify vulnerabilities and ensures that AI systems remain secure against evolving threats.
- Adaptive Guardrails: Implement external protection layers per application against cybersecurity issues, data loss, and undesired behaviors, continuously updated through:
- Pillar Security research findings
- Pillar Threat Intelligence from emerging AI attacks
- Targeted application-specific red team assessment findings
- Governance, Compliance, and Transparency: Pillar supports compliance with evolving AI governance structures, provides audit capabilities, and ensures transparency in AI decision-making processes. Their platform aligns with leading frameworks such as OWASP and MITRE ATLAS, helping organizations adhere to industry standards and regulatory requirements.
Experience the Next Generation of AI Security
Ready to enhance your AI security posture? Request a free trial to see how Pillar Security and and AWS can transform your 2025 AI security strategy.
About Pillar
Pillar Security empowers organizations to safely develop, deploy, and scale AI solutions by securing the entire AI lifecycle—from development through production to usage. Our platform adapts to any infrastructure, supporting model-agnostic, self-hosted, and cloud deployments, as well as integration with leading foundation model providers. With runtime guardrails and automated red teaming capabilities, Pillar proactively identifies and mitigates AI-specific threats, providing continuous protection and robust governance over AI-powered applications. Our solutions are continuously optimized with real-world AI data, delivering precise risk detection, enhanced data security, and compliance support—allowing customers to innovate securely with complete peace of mind.
FAQs
How can organizations deploy Pillar Security through AWS Marketplace?
Pillar Security is available directly on AWS Marketplace, allowing organizations to deploy its AI security platform across their entire AI infrastructure with just a few clicks. The streamlined procurement process runs through AWS's trusted cloud infrastructure, reducing friction for security and engineering teams looking to operationalize AI protection quickly.
What does Pillar Security's integration with AWS Bedrock do for AI governance?
Pillar Security's integration with AWS Bedrock significantly enhances security and governance for AI projects built on foundation models. Because Bedrock lets teams customize and deploy models without building from scratch, the integration extends Pillar's runtime protection, visibility, and compliance controls directly into those model-driven workflows.
How does Pillar Security's AI asset mapping give visibility into LLM deployments?
Pillar's Comprehensive AI Asset Mapping combines full AI fingerprinting with an LLM asset inventory, integrating with code repositories, cloud environments, and ML and data platforms. It monitors LLM application attributes, tracks configuration changes, and maps system interactions, giving security and compliance teams unparalleled visibility into AI operations.
How does Pillar Security protect multi-agentic AI systems against adversarial attacks?
Pillar hardens multi-agentic AI solutions through tailored red-teaming exercises and techniques specifically designed to improve model resilience. This adversarial resistance approach proactively identifies vulnerabilities before they are exploited, ensuring AI systems remain robust against evolving threats rather than relying solely on reactive defenses.
What compliance frameworks does the Pillar Security platform align with?
Pillar Security's platform aligns with OWASP and MITRE ATLAS, two leading frameworks used by security engineers and AppSec teams to manage AI-specific risks. It also provides audit capabilities and transparency in AI decision-making, helping organizations meet evolving regulatory requirements and AI governance structures.
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