Private Technology, a zero-trust security specialist, is changing its name to 'PRIBIT AI' and shifting its business identity to an AI execution control platform company. The core of this move is to expand the security technology capabilities it has built in the public, financial, and defense sectors since its establishment in 2018 into AI operating environments.

Private AI officially announced the change of its company name on the 10th and unveiled its new slogan, 'Private Intelligence, Trusted Execution'.

The company explained that this embodies the direction of "operating the entire AI execution environment as a controllable and reliable system," and is a strategic shift to respond to environmental changes in which AI expands from a mere auxiliary tool to an actual business entity.

Private AI has verified its technological capabilities through projects such as the National Network Security System (N2SF) demonstration project and the Zero Trust demonstration project.

PacketGo, the flagship solution, provides a data-centric security system that continuously verifies users, terminals, applications, and data flows to reduce the risk of unauthorized access and internal spread.

Through this transition, we plan to connect the technology framework with the AI operating environment and establish a trust-based infrastructure for AI utilization in regulated industries.

Going forward, we will strengthen our platform strategy of connecting security, data, and AX technologies into a single AI operations control hub.r />
The goal is to support customers in the public, financial, and energy sectors, which have high security levels and regulatory requirements, in safely utilizing internal data and driving AI-based business innovation.

Kim Young-rang, CEO of Private AI, stated, “As AI integrates into business execution structures, security standards must shift from a focus on blocking access to a focus on controlling execution.” He added, “Based on technologies verified in Zero Trust, N2SF, and data-centric security, we will build an operational foundation that enables AI to make safe decisions and execute within organizations.”