Side-by-side comparison of AI visibility scores, market position, and capabilities
Unified data security and privacy platform for AI governance and compliance, San Jose CA, raised $220M+, unicorn. Covers privacy, security, and AI risk in one platform.
Securiti is a San Jose, California-based data security and privacy company founded in 2019 by the team behind Symantec's cloud security division. The company has raised over $220 million, achieving unicorn status, and provides a unified platform for data security, privacy compliance, data governance, and AI governance — addressing the convergence of these disciplines in modern enterprise data environments. Securiti serves enterprise customers globally across financial services, healthcare, retail, and technology sectors.\n\nSecuriti's platform is built around an automated data intelligence engine that discovers, classifies, and catalogs sensitive data across cloud, on-premise, and SaaS environments. This foundation supports multiple compliance and security use cases: GDPR and CCPA privacy operations, data access governance, cloud security posture management, and AI governance — including inventorying AI systems and the data they consume, assessing risks, and generating compliance documentation for emerging AI regulations like the EU AI Act.\n\nThe company's AI governance capabilities have become an increasingly important differentiator as enterprises face mounting regulatory pressure around AI systems and as chief privacy officers take on expanded responsibility for AI oversight. Securiti competes with OneTrust in the privacy platform market and with BigID and Varonis in the data security and governance space. Its broad platform spanning privacy, security, and AI governance positions it as a single-vendor solution for organizations seeking to consolidate their trust and compliance technology stack.
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.
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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