SARATOGA, Calif., March 18 — Lineaje, the full‑lifecycle management software supply chain security company, today announced the launch of Lineaje UnifAI, the industry’s first autonomous AI policy orchestrator designed to help organizations build secure‑by‑design agentic AI applications.
As enterprises transition from experimental AI pilots to the large-scale deployment of autonomous agents, they face a critical gap in control and oversight. This challenge is accelerating as low-code platforms and AI assistants make development accessible across the enterprise, allowing teams to build complex, adaptive AI systems at record speed. Unlike static software, these autonomous agents interact dynamically with sensitive data and external tools, introducing a new class of “undetectable” risks. These include prompt injections, data leakage, and reasoning compromise attacks, which legacy security tools weren’t built to defend against.
UnifAI closes this gap by embedding a dedicated security and governance layer directly into the AI development workflow. This AI security (AISec) approach allows teams to identify and resolve risks before applications reach production. The platform automatically discovers AI assets, defines security and governance policies, and autonomously generates guardrails within agentic workflows—ensuring that autonomous agents remain secure and compliant at runtime.
“AI leaders told us they lack a central command center to manage the complexity of their AI environments,” said Javed Hasan, CEO and co-founder, Lineaje. “UnifAI was built to bridge that security governance gap. By providing a platform to define, derive, and autonomously defend using guardrails, we enable enterprises to scale their agentic AI applications safely. With UnifAI, we are delivering the industry’s most comprehensive AISec platform for automated policy orchestration.”
Key Capabilities Include:
Unified AISec and Governance with AI Threat Protection Built-In
UnifAI delivers an autonomous AISec and governance platform that helps organizations discover, secure, and manage AI systems across environments. Operating as a model context protocol (MCP) server, it integrates directly with coding assistants and low-code or no-code agentic AI platforms, allowing security, development, and governance, risk, and compliance teams to apply consistent policies as AI applications are built and deployed. A comprehensive AI Kill-Chain model assesses known threats and incorporates threat defenses.
Continuous AI Discovery and Visibility
As developers and AI tools create new applications, UnifAI’s Discovery Agents continuously map the organization’s complete AI Bill of Materials (AIBOM). This includes every model, agent, MCP server, LLM dependency, skills, and data connections, while also assessing each component’s risk profile. Security teams maintain dynamic, real-time visibility into their entire AI ecosystem—automatically mapping every system, connection, and behavioral pattern to ensure complete environmental oversight.
Autonomous Policy Creation and Threat Detection Live-Updates
The platform automatically derives and recommends policies for data protection, identity and access management, compliance alignment, threat prevention, and vulnerability remediation, eliminating the need for teams to write policies from scratch. Organizations can also upload internal governance documents, which the system converts into enforceable AISec policies. In addition, Lineaje’s AI Research Labs continually publishes new policies to address emerging threats in agentic AI environments.
Built-In Protection and Compliance
As developers build and deploy AI systems, UnifAI automatically applies security protections to ensure applications are safe and fully aligned with global regulatory frameworks. This includes strict adherence to the EU AI Act and the OWASP Top Ten for AI. These protections are managed through a centralized governance console, allowing security teams to customize policies, monitor violations in real-time, and maintain rigorous, consistent standards across the entire AI ecosystem.
“Persistent’s SASVA™ AI Platform accelerates enterprise AI adoption by providing a scalable, secure foundation for building and deploying generative AI solutions across the software development lifecycle. We have been collaborating with Lineaje on UnifAI to bring together SASVA and UnifAI into a comprehensive AI development and security solution for enterprise customers. We are excited about this partnership and its ability to help customers advance their agentic transformation more securely,” said Nitish Shrivastava, chief technology officer, Engineering Hyper-productivity, Persistent Systems.
“Agentic AI is evolving rapidly, bringing unpredictable risks and making compliance harder to manage and demonstrate. UnifAI changes that — acting as the security and compliance control plane that gives our banking, financial services, and insurance (BFSI) clients real-time visibility and a policy engine that evolves with both the threat landscape and the regulatory environment. For the first time, we can help clients get ahead of regulators rather than scrambling to catch up,” said Anil Singh, director, Software Supply Chain Security, KPMG.
