kube-score
Static code analysis for Kubernetes definitions with opinionated security and reliability checks.
Enterprise-grade SAST and SCA for comprehensive application security and technical debt management.
Kiuwan is a sophisticated application security platform part of the Idera, Inc. portfolio, designed to provide deep-tier visibility into software risks. Its architecture is built around two primary pillars: Static Application Security Testing (SAST) and Software Composition Analysis (SCA). In the 2026 market, Kiuwan distinguishes itself through its Hybrid Cloud model, allowing enterprises to scan code locally via the Kiuwan Local Analyzer (KLA) while managing results and governance in a centralized cloud dashboard. This ensures that sensitive source code never leaves the client's infrastructure. The platform supports over 30 programming languages, ranging from modern frameworks like React and Go to legacy systems like COBOL and ABAP. A key technical advantage is its 'Action Plan' engine, which uses proprietary algorithms to calculate the cost and effort required to remediate security debt, allowing CISOs to prioritize fixes based on business impact rather than just severity. As organizations transition to AI-augmented development, Kiuwan has integrated AI-driven remediation suggestions that provide context-aware code patches, significantly reducing the Mean Time to Repair (MTTR) for critical vulnerabilities.
A portable analysis engine that performs the scanning on-premise, sending only the metadata and results to the cloud.
Static code analysis for Kubernetes definitions with opinionated security and reliability checks.
Automated security auditing and remediation for high-integrity Kubernetes clusters.
Automated Kubernetes security compliance auditing against CIS Benchmarks.
The AI Software Engineer for automated code reviews and proactive quality assurance.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A predictive modeling tool that shows how security scores will change if specific vulnerabilities are fixed.
Deep scanning capabilities for older languages like COBOL, RPG, and VB6.
Uses machine learning to suggest the exact code change required to fix a vulnerability.
Centralized policy management to enforce coding standards across multiple business units.
Provides full call stacks and data flow analysis for every detected vulnerability.
Architecture that allows MSPs or large groups to manage distinct sub-organizations within one account.
Vulnerabilities entering production due to lack of automated testing.
Registry Updated:2/7/2026
Legal risk from using libraries with restrictive licenses (e.g., AGPL).
Quantifying the cost of messy and insecure code for management.