Traceforce provides an AI‑driven security posture management platform that continuously scans hybrid cloud and on‑premise environments to identify misconfigurations, policy gaps, and real‑time threats. Its machine‑learning risk scoring prioritizes findings and delivers step‑by‑step remediation, integrating with CI/CD pipelines, SIEMs, and cloud APIs to keep security and compliance up to date.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to maintain consistent security across complex cloud and on‑premise infrastructures, leading to frequent misconfigurations, compliance violations, and exposure to emerging threats.
Solution
Traceforce delivers an AI‑powered security posture management platform that continuously scans an organization’s entire environment, both cloud and on‑premise, to detect configuration errors, policy gaps, and real‑time threats. Machine‑learning models prioritize findings based on risk and context, while the system generates step‑by‑step remediation instructions that security teams can act on immediately. The platform integrates with existing tooling to provide a unified view of security posture, enabling teams to close gaps faster and maintain compliance without manual, repetitive audits.
Target Audience
Primary customers are security and DevOps teams in mid‑size to large enterprises that manage hybrid cloud environments and need to enforce continuous compliance and risk reduction.
Features
- Continuous, automated discovery and assessment of cloud services, containers, and on‑premise assets
- Machine‑learning risk scoring that ranks misconfigurations and threats by impact and exploitability
- Real‑time compliance mapping to standards such as CIS, NIST, and ISO with gap identification
- Actionable remediation guidance with automated policy templates and one‑click fix options
- Integration connectors for popular CI/CD pipelines, SIEMs, and cloud provider APIs
- Dashboard and alerting system that consolidates findings into a single, searchable view