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AI security startup HiddenLayer has successfully raised $100 million in a Series B funding round led by Delta-v Capital. This funding comes as enterprises increasingly prioritize securing their AI deployments, with Gartner projecting a significant rise in spending on AI security tools, expected to reach nearly $4.78 billion next year. The surge in demand for AI security solutions is driven by the growing recognition of potential vulnerabilities in AI models and workflows. HiddenLayer's co-founder and CEO, Chris Sestito, noted that the company's annual recurring revenue has increased more than tenfold over the past year, primarily due to new customer acquisitions in sectors like financial services and large tech companies. Looking ahead, HiddenLayer plans to utilize the new funding to expand its product offerings and enhance its sales and distribution efforts. The company aims to address emerging threats such as prompt injection and malicious tool use, while also exploring opportunities in the European and EMEA markets. No further timeline was disclosed at the time of publication.
TechCrunch By Ram Iyer Sep 02, 2026 AI Fundraising Security Delta-v Capital HiddenLayer M12
Phishing attacks have evolved beyond traditional IT concerns, posing significant threats to manufacturers, robotics integrators, and logistics operators. A single deceptive email can disrupt production lines, misdirect supplier payments, or jeopardize access to automated warehouse systems. This shift highlights the urgent need for enhanced cybersecurity measures to protect industrial operations from increasingly sophisticated threats. As the attack surface broadens, companies must adapt their defenses to safeguard against these emerging risks in the industrial sector.
RoboticsAndAutomationNews.com By Sam Francis Jun 10, 2026 Artificial Intelligence Business AI APIs AI phishing detection automation news business email compromise
Artificial intelligence is driving significant advancements across various industries, enabling businesses to enhance their operations with improved intelligence and efficiency. As companies expand their AI capabilities, the future of enterprise AI hinges on robust infrastructure that can effectively manage vast amounts of data while ensuring security and compliance. This evolution is crucial for organizations looking to leverage AI technologies to stay competitive in a rapidly changing market. The ongoing development and implementation of these systems are expected to reshape how enterprises function, fostering innovation and agility in their processes.
NvidiaNews By NVIDIA Jan 05, 2026RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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