# Continuous Security for AI Software and Platforms

Secure AI infrastructure by reducing inherited vulnerabilities, minimizing runtime attack surface, and maintaining continuous security visibility across model pipelines and containerized environments.

## Why AI Infrastructure Accumulates Vulnerability Risk

### Dependency Sprawl

AI frameworks, Python libraries, and container base images introduce thousands of transitive dependencies.

### Rapid Iteration Cycles

Frequent model updates and pipeline changes make vulnerability remediation difficult to keep up with.

### Limited Runtime Visibility

Security teams lack insight into which components actually execute in production AI workloads.

## How RapidFort Reduces AI Software Risk

## Prioritize True Risk with Analyzer and Profiler Intelligence

Identify exploitable vulnerabilities using deep binary analysis and runtime context.

Generate SBOMs and Runtime Bills of Materials (RBOM™) for precise risk visibility.

Reduce scanner noise by validating CVE applicability.

## Start Secure with Curated Near-Zero CVE Foundations

Deploy CIS and DISA STIG-aligned Curated Near-Zero CVE Images.

Remove inherited vulnerabilities before AI services reach production.

Standardize secure container foundations across model training and inference workloads.

## Continuously Reduce Exposure with Optimizer and CART

Remove unused components to achieve up to 99.9% CVE reduction and up to 90% attack surface reduction.

Reduce attack surface by eliminating unused libraries and binaries.

Maintain a near-zero CVE posture with audit-ready evidence.

## Outcomes AI Teams Can Rely On

### Up to 99.9% CVE reduction

Achieved through hardened base images and automated attack surface reduction.

### Up to 90% attack surface reduction

Delivered by removing unused binaries and dormant runtime components.

### Faster audit preparation

SBOM, RBOM, and configuration evidence remain continuously ready for review.

### About 60% less manual remediation effort

Automation replaces repetitive vulnerability triage, exception handling, and patch cycles.

## Security Evidence Built Into Every Release

### SOC 2 Type II Readiness

Continuous vulnerability visibility and hardened container foundations support modern AI platform governance.

### ISO/IEC 27001 Alignment

Secure container foundations help maintain consistent infrastructure security controls.

### FedRAMP-Aligned Cloud Environments

Hardened images and vulnerability visibility support regulated AI deployments in cloud environments.

### Platform Trust and Security Reviews

Provide security artifacts and software transparency needed for enterprise AI platform approval.

## Frequently Asked Questions

Answers to Your Most Common Questions

How does RapidFort work?

What are RapidFort Curated Near-Zero CVE Images?

What are RapidFort Community Images?

## Secure AI Infrastructure Without Slowing Innovation

Reduce inherited vulnerabilities, minimize container attack surface, and strengthen security posture across AI platforms without modifying application code.