Onyx Security vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Israeli AI agent security startup protecting enterprise AI agent deployments from prompt injection and model compromise. $40M raised (March 2026); Fortune 500 customers; founded 2024; addresses the emerging AI agent attack surface.
About
Onyx Security is an Israeli AI agent security startup founded in 2024 to address the emerging attack surface created by enterprise AI agent deployments. As organizations deploy autonomous AI agents that can take actions, access data, and interact with external services, Onyx identified a critical security gap: existing enterprise security tools were built for human users and traditional software, not for AI agents that operate autonomously and can be manipulated through prompt injection, model compromise, or tool misuse. Onyx was founded to build the security infrastructure layer that makes enterprise AI agents safe to deploy at scale.\n\nOnyx's platform monitors, governs, and protects enterprise AI agent deployments in real time — detecting anomalous agent behavior, enforcing least-privilege access policies, preventing prompt injection attacks, and providing audit trails for agent actions. The product is designed for Fortune 500 enterprises deploying AI agents in business-critical workflows where a compromised or misbehaving agent could exfiltrate data, take unauthorized actions, or cause operational harm. Onyx integrates with leading agentic AI platforms and enterprise security infrastructure without requiring architectural changes to existing agent deployments.\n\nOnyx Security raised $40 million in March 2026 and counts Fortune 500 companies among its early customers — a remarkable milestone for a company less than two years old. The funding and customer traction validate both the urgency of the AI agent security problem and Onyx's technical approach. The company is positioned to lead the AI agent security category as enterprise agentic deployments accelerate globally and CISOs begin to demand purpose-built security controls for AI systems operating in production environments.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
About
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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