Wallarm
VisitWallarm is an API Security platform protecting APIs and AI apps: discovery, real-time attack blockin…
Description
Wallarm is an AI security and API security platform that discovers AI workloads, monitors runtime behavior, enforces policy inline, and generates continuous compliance evidence. It is built for enterprises running AI on AWS and addresses the growing need for AI governance and security. The platform provides a single solution for securing APIs, web apps, and AI systems in real time, combining WAF, API security, and AI governance. Wallarm helps enterprises close the AI control loop with discovery, runtime visibility, enforcement, and audit-ready evidence in one platform, without manual handoffs. It is designed to work natively within AWS environments, integrating with existing AWS security services to make them more effective.
Key Features
Comprehensive AI Security
Real-time security for APIs, web apps, and AI systems.
Policy Enforcement and Compliance
Enforces policy inline and generates continuous compliance evidence.
Infrastructure Discovery
Provides cross-account visibility and discovers AI workloads, including shadow AI.
Runtime Observation
Non-invasive instrumentation that monitors every AI agent decision without code changes.
Automated Enforcement
Automatically stops policy violations with no downtime or pod restarts.
Audit-Ready Evidence
Generates audit-ready evidence with live data for compliance with regulations like the EU AI Act.
Use Cases
AI Governance and Compliance
Enterprises running AI on AWS need real-time security and governance to comply with regulations like the EU AI Act.
API Security
Securing APIs that AI workloads call and the applications they power is critical to prevent vulnerabilities and breaches.
Runtime Monitoring and Enforcement
Monitoring AI workloads for runtime behavior and policy violations ensures that AI systems operate within defined boundaries.
Infrastructure Discovery
Discovering and managing AI workloads across multiple AWS accounts helps enterprises maintain visibility and control over their AI infrastructure.
Compliance Evidence Generation
Generating continuous compliance evidence ensures that enterprises can demonstrate adherence to security and regulatory standards.
Policy Automation
Automating the enforcement of security policies reduces the risk of AI-related vulnerabilities and ensures consistent governance.
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