The reality is that agentic AI adoption is moving faster than most security and governance models can support. AI agents, AI skills, and agentic workflows are now entering engineering environments through repositories, pull requests, IDEs, source code, and third-party skill marketplaces, creating visibility and control gaps for security teams.
Lineaje’s recent release of UnifAI expands AI security, governance, and compliance across the AI development lifecycle. These capabilities are designed to help organizations identify AI assets, enforce governance, detect AI-specific risks, and address security issues before applications reach production.
Extending AI Security Across the Software Development Lifecycle
UnifAI now extends AI security analysis into source code repositories and pull requests, enabling organizations to identify AI assets, detect AI-related risks and threats, and enforce governance policies earlier in the software development lifecycle (SDLC).
Top capabilities include:
- AI asset discovery across source code repositories
- AI threat, data risk, and compliance scanning in SCMs and pull requests
- Automated blocking and quarantine policies for malicious, suspicious, or unknown AI skills
- Support for GitHub, GitLab, and Bitbucket
- Flexible deployment options including SaaS or Hybrid Cloud environments
By bringing AI security directly into developer workflows, organizations gain end-to-end visibility into AI usage, reduce shadow AI risk, and accelerate remediation without relying on ticket-based processes. Earlier detection and in-workflow fixes help reduce policy violations before they impact production.
Discover AI Expertise, Manage Risk, and Govern with Confidence
AI skills are becoming a critical component of agentic applications, yet most organizations lack visibility into what skills are being used and whether they introduce risk.
This release expands UnifAI’s AI skills governance capabilities with:
- Continuous analysis of more than 52,000 AI skills across major skill marketplaces
- AI skill discovery across IDEs, source code repositories, and pull requests
- Threat intelligence mapped to discovered AI skills
- Automated remediation for risky AI skill usage
- Built-in policies to identify and block malicious, suspicious, or unknown skills
These capabilities help organizations identify third-party AI skills entering applications, detect AI-specific threats that traditional security tools often miss, and prevent dangerous skills from reaching production environments.
Expanded AI Compliance and Regulatory Coverage
To help organizations keep pace with evolving AI regulations, UnifAI adds full EU AI Act coverage and Executive Order 14110 alignment. The release supports audit readiness, evidence-based reporting, and continuous governance to reduce AI-related compliance risk.
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