Lineaje has introduced UnifAI, a new platform designed to help organizations secure and govern agentic AI applications from the start. With this launch, the company is targeting a growing challenge in enterprise AI: how to maintain visibility, control, and compliance as autonomous agents move from pilot projects into real-world deployment.

As more enterprises scale agentic AI, development is becoming faster and more decentralized. Low-code platforms and AI assistants are making it easier for teams across the business to build adaptive AI systems at speed. However, that same acceleration is creating fresh security and governance concerns. Unlike traditional software, autonomous agents interact dynamically with sensitive data, external tools, and live workflows. Therefore, they introduce risks such as prompt injection, data leakage, and reasoning compromise attacks that legacy security tools were not built to stop.

To address that gap, Lineaje created UnifAI as what it describes as the industry’s first autonomous AI policy orchestrator. The platform adds a dedicated security and governance layer directly into the AI development workflow. As a result, teams can identify risks earlier, define policies faster, and apply guardrails before applications reach production. In addition, UnifAI automatically discovers AI assets, generates security and governance policies, and enforces protections within agentic workflows so autonomous agents remain secure and compliant during 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.”

A major strength of UnifAI is its unified approach to AI security and governance. The platform operates as a model context protocol (MCP) server and integrates directly with coding assistants as well as low-code and no-code agentic AI platforms. Because of that, security, development, and governance, risk, and compliance teams can apply consistent policies while AI applications are being built and deployed. At the same time, the platform includes an AI Kill-Chain model that evaluates known threats and supports threat defenses.

Another important feature is continuous AI discovery and visibility. As developers and AI tools create new applications, UnifAI’s Discovery Agents continuously map the organization’s AI Bill of Materials, or AIBOM. This includes models, agents, MCP servers, LLM dependencies, skills, and data connections. Alongside that, the platform assesses the risk profile of each component. Consequently, security teams gain real-time visibility into their expanding AI ecosystem, helping them understand how systems, behaviors, and connections evolve over time.

UnifAI also aims to simplify policy creation. Instead of forcing teams to write every policy manually, the platform automatically derives and recommends policies for data protection, identity and access management, compliance alignment, threat prevention, and vulnerability remediation. Organizations can even upload internal governance documents, which UnifAI then converts into enforceable AI security policies. Furthermore, Lineaje’s AI Research Labs continuously publish updated policies to address emerging threats in agentic AI environments. That ongoing update model can be especially valuable as both attack techniques and regulatory requirements continue to shift.

The platform also emphasizes built-in protection and compliance. As teams develop and launch AI systems, UnifAI automatically applies security controls to keep applications aligned with major frameworks and regulations. This includes support for 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, track violations in real time, and maintain consistent standards across the broader 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.

Lineaje also pointed to strong industry relevance for highly regulated sectors. That is particularly true for financial services, where security, governance, and compliance pressures are especially high.

“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.

Overall, Lineaje’s launch of UnifAI reflects how enterprise AI security is shifting from basic experimentation to continuous governance. As organizations deploy more autonomous agents, they need security controls that are as dynamic as the AI systems themselves. Through UnifAI, Lineaje is positioning itself to help enterprises scale agentic AI with stronger oversight, automated guardrails, and more consistent compliance.

Recommended Cyber Technology News:

To participate in our interviews, please write to our CyberTech Media Room at info@intentamplify.com