Map automated vulnerability triage and remediation to NIST 800-53 controls. Deploy air-gapped with your own AI models. Generate audit evidence with every fix — not every quarter.
Trusted by security teams at regulated enterprises
Enterprise compliance automation uses AI-powered tools to triage and remediate security vulnerabilities while generating audit evidence required by FedRAMP, SOC 2, HIPAA, and NIST 800-53. Automated systems produce continuous evidence with every fix — pull request trails, validation logs, and updated SBOMs — replacing quarterly screenshot collection that costs $50-100K annually.
Most security tools satisfy one side of compliance. They find vulnerabilities (NIST 800-53 RA-5). But auditors also require proof you fixed them (NIST 800-53 SI-2). That second control — Flaw Remediation — remains a manual burden for the vast majority of organizations.
The industry average MTTR means vulnerabilities sit open for months after detection. Auditors compare the finding date to the fix date — a 252-day gap is a compliance failure. Triage automation cuts findings to what actually matters. Remediation automation closes the loop with documented proof.
Source: Industry benchmark dataDedicated compliance analysts spend months collecting evidence that automated triage and remediation generate as a byproduct. Screenshots, manual logs, and quarterly evidence packages cost $50-100K annually in FTE burden. Automated evidence is produced with every fix at zero incremental cost.
Source: Enterprise customer estimates (compliance analyst FTE cost)When most findings are false positives, compliance reports are inflated and unreliable. Teams waste triage cycles on alerts that carry no real risk. Exploitability analysis reduces false positives by 95%+, producing a compliance-ready vulnerability list auditors can trust.
Source: Black Duck 2025, JFrog 2025Pixee maps automated triage and remediation to specific compliance controls across five major frameworks.
| Framework | Key Control | Manual Process | With Pixee |
|---|---|---|---|
| FedRAMP / NIST 800-53 | RA-5, SI-2, CA-7, CM-3 | Manual scans, manual fixes, manual evidence | Automated triage (RA-5) + automated fix (SI-2) + automated evidence (CA-7, CM-3) |
| SOC 2 Type II | CC7.1 (Detection), CC7.2 (Response) | Screenshots and manual documentation collected quarterly | Continuous evidence — every fix logged in git with validation trail |
| HIPAA | Technical Safeguards, section 164.312 | Periodic vulnerability assessments with manual remediation | Continuous scanning + automated remediation + audit trail (on-prem available) |
| PCI-DSS 4.0 | Req 6.3.2 (Known Vulnerabilities) | Quarterly scans followed by manual patching cycles | Continuous remediation with automated validation and evidence |
| ISO 27001 | A.12.6 (Technical Vulnerability Management) | Risk assessment followed by manual patching cycles | Risk-based prioritization via triage + automated remediation |
Walk through RA-5, SI-2, CA-7, and CM-3 control mappings live — see how Pixee generates audit-ready evidence your assessors can verify.
Book a Compliance Briefing →Your compliance requirements dictate your deployment model, not your vendor. Pixee supports four deployment options for any regulatory environment.
Pixee SaaS with data processed in Pixee infrastructure. Fastest time to value with lowest operational overhead. SOC 2 Type II compliant infrastructure.
Best for: SaaS companies, SOC 2 environments, teams prioritizing speed
Full Pixee platform in your infrastructure via Embedded Cluster (K3s-based) or Helm to your existing Kubernetes. Data never leaves your network. Requirements: 8 vCPU, 32 GB RAM, 100 GB SSD, PostgreSQL 17.4+.
Best for: Enterprises with data residency requirements, financial services
Complete isolation via offline bundle installation. No internet connectivity required at any stage. Triage and remediation run entirely within your classified or sensitive environment. Full audit evidence generated locally.
Best for: Government, defense contractors, critical infrastructure
Use your own AI infrastructure — Azure OpenAI with private endpoints, Databricks with on-prem models, or your own LLMs. Code never leaves your network. Every AI-generated fix includes a complete, auditable decision trail.
Best for: Financial services, healthcare, organizations with AI governance requirements
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