- In June 2025, Zscaler introduced its cutting-edge AI-powered Zero Trust platform, expanding the Zero Trust Exchange with the launch of Zscaler Cellular. This innovative solution secures IoT and OT devices using only a cellular SIM card, eliminating the need for VPNs or software agents. It integrates network segmentation, endpoint isolation, and AI-driven monitoring to create a zero attack surface, enabling real-time threat detection and automated policy enforcement. The platform reflects a growing shift toward embedding AI into Zero Trust architectures to counter increasingly sophisticated cyber threats
- In April 2025, Akamai Technologies, a leading provider of cybersecurity solutions, acquired Neosec, a specialist in API-centric threat detection and response. This strategic move underscores the rising demand for dedicated API security within the broader Zero Trust framework, as the surge in machine-to-machine and API traffic exposes vulnerable endpoints. Neosec’s behavioral analytics and data-driven platform enhance Akamai’s visibility into API activity, enabling real-time threat detection, risk assessment, and runtime protection. The acquisition reflects a growing industry shift toward robust, API-specific defenses to safeguard digital ecosystems from increasingly sophisticated cyberattacks
- In March 2025, Google Cloud introduced new generative AI innovations for healthcare and life sciences, including the launch of the MedLM Embedding API for chest x-rays (CXR). This domain-specialized model, hosted on Vertex AI, accelerates medical imaging analysis and supports multimodal AI integration into clinical workflows. As AI agents and large language models (LLMs) increasingly interact with APIs, this advancement highlights the growing need for robust API security within a Zero Trust framework to safeguard sensitive health data and ensure compliant, secure operations across healthcare systems
- In September 2024, Ginkgo Bioworks, in partnership with Google Cloud, launched a cutting-edge protein large language model (LLM) and its corresponding model API, designed to accelerate drug discovery and biological research. Built on Vertex AI and trained on Ginkgo’s proprietary datasets, the tools enable researchers to analyze complex protein structures and interactions. As AI models and APIs increasingly handle sensitive biological data, this advancement highlights the critical need for Zero Trust security frameworks to ensure safe, compliant access and interaction with these powerful technologies
- In August 2024, Salesforce continued to advance the AI capabilities of its platform, including the development of Einstein Copilot, a generative AI bot that can interact with various systems through APIs. This trend highlights the critical need for robust API security within Zero Trust frameworks to protect against AI-driven attacks and ensure secure interaction between AI agents and underlying business systems
