Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
Mend.io announced the launch of Mend AI, a new tool designed to identify, track, and secure AI models and AI-generated code.
Developers can now quickly and easily access pre-trained AI models through platforms like Hugging Face, and AI-generated functions and programs through large language models (LLMs). However, security has not kept pace, and organizations are still assessing how to include AI components in their software in a way that is secure, safe, and compliant with emerging legal and regulatory concerns.
"As with open-source components, the first thing organizations must know is what is present in their code bases," said Rami Sass, co-founder and CEO, Mend.io. "Mend AI can identify and provide information—including license, version, and any security notices—for all 350,000 AI models indexed on Hugging Face, the world's most popular open source AI library and community."
Mend AI also provides increased transparency into applications with advanced bill of materials support for AI models. The AI-BOM provides a holistic view of the direct, transitive, and artificial intelligence components and dependencies used in an application. Moreover, Mend AI enhances Mend SCA, the gold-standard software composition analysis tool, to cover the AI-based portion of the modern software supply chain.
Using these insights, security and compliance teams can keep track of AI usage in their code base, ensure the latest and most secure versions of AI models are being used, and make informed policy and governance decisions for their organizations. As AI technology and vulnerability tracking frameworks emerge and mature, the company will continue to evolve Mend AI, along with its other products, to meet emerging application security challenges.
Industry News
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The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
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OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.