Secure the AI Software Supply Chain - End to End.
Eliminate inherited vulnerabilities, strengthen compliance, and deliver trustworthy AI applications - with up to 95% CVE reduction and 90% attack-surface reduction, without code changes.
AI companies move quickly - but the open-source frameworks, containerized microservices, and backend components powering modern AI systems introduce massive inherited risk. RapidFort helps AI developers, platform teams, and ML infrastructure providers secure the entire software foundation they build on.



The Security Realities Driving AI Infrastructure Risk
AI stacks inherit thousands of vulnerabilities from OSS dependencies
AI platforms rely heavily on open-source components (Python libraries, ML frameworks, vector DBs, APIs, backend services) that often contain large CVE backlogs before verification.
Rapid release cycles outpace traditional vulnerability management
Frequent builds, rapid iteration, and constant deployment mean vulnerabilities propagate into production faster than security teams can manually patch.
Limited visibility into what is actually running
AI systems span microservices, APIs, model gateways, schedulers, and backend components - making it difficult to see active vulnerabilities or prove security lineage.
How RapidFort Reduces AI Software Risk
Start Secure with Curated Near-Zero CVE Foundations
- Build AI services, APIs, and platform components on 17,000+ STIG/CIS-hardened, FIPS-validated Curated Images.
- Establish clean, NIST-aligned baselines for SOC 2, ISO 27001, and FedRAMP readiness.
- Remove inherited vulnerabilities from open-source frameworks and backend services before they enter development.

Prioritize True Risk with Analyzer & Profiler Intelligence
- Identify exploitable CVEs in containerized AI services through deep binary scanning and RapidRisk scoring.
- Generate SBOMs and RBOM™ to see which components actually execute - eliminating noise and false positives.
- Detect drift across registries, pipelines, and production services supporting AI models and applications.

Continuously Reduce Exposure with Optimizer & CART
- Remove unused libraries, binaries, and dependencies - achieving up to 95% CVE reduction and 90% attack-surface reduction without code changes.
- Enforce CIS/STIG configurations and export SBOM/RBOM artifacts for SOC 2, ISO 27001, and FedRAMP evidence requirements.
- Maintain a near-zero CVE posture across all AI-supporting environments: cloud, hybrid, and air-gapped.
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Outcomes AI Teams Can Count On
Up to 95% CVE reduction
Across containerized AI services and platform components
Clear, exportable SBOM/RBOM
Artifacts for internal and external reviews
Weeks → Days
Audit readiness accelerated from weeks to days
Up to 90% attack surface reduction
Attack-surface reduction through automated hardening
~60% Less manual work
reduction in manual vulnerability remediation effort
Compliance-Ready Evidence for AI Platforms
SOC 2 Type II
Continuous vulnerability validation, hardened baselines, and SBOM/RBOM evidence for AI platform releases.
ISO/IEC 27001
CIS/STIG-aligned configurations and exportable evidence mapped to Annex A controls for information security and operational resilience.
FedRAMP-Aligned Cloud Environments
Deploy FIPS-validated, STIG/CIS-hardened containers with reporting that supports FedRAMP and cATO workflows for AI cloud services.
AI Trust, Transparency & Security Reviews
Deliver component lineage and runtime-verified RBOM™ to support AI security assessments, customer reviews, and platform assurance programs.
See what our users think about RapidFort

Frequently Asked Questions
RapidFort supports a quick start from your CI/CD, scanning registries and clusters immediately. Request access / start a trial to begin with DevTime Tools and Curated Images.
RunTime instrumentation is lightweight, with compute overhead typically <1%, enabling continuous protection without material performance trade‑offs.
By reducing exploitable code paths and shrinking image size quickly, RapidFort limits the attack surface that automated tools can weaponize, while drift detection, RBOM™, and runtime baselining keep focus on what’s reachable and executed.
Alpine, Debian, Red Hat, and Ubuntu (LTS). This avoids vendor lock‑in and aligns with enterprise and government requirements.
Secure Your Financial Software Supply Chain Today
Reduce systemic risk, accelerate compliance readiness, and safeguard every transaction with continuous, end-to-end security across your software supply chain.

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