Core Insights - Fortanix and NVIDIA have launched a joint solution to provide a secure, on-premises platform for running agentic AI in sensitive environments, addressing the need for compliance and data protection in industries like healthcare, finance, and government [1][2][3] Company Overview - Fortanix is recognized as a global leader in data security, particularly in the realm of AI, and is pioneering Confidential Computing to secure sensitive data across various environments [9][10] Product Features - The new platform utilizes NVIDIA Hopper and Blackwell GPU architectures, enabling enterprises to deploy AI agents securely on sensitive data while ensuring compliance and confidentiality [4][5] - Key benefits include end-to-end trust through composite attestation and cryptographic key management, which ensures that sensitive data and models are protected throughout their lifecycle [6][7] Market Demand - Industries such as healthcare, finance, and government are eager to leverage AI but face challenges due to the sensitivity of their data, necessitating solutions that do not compromise on security or compliance [3][5] Implementation and Compliance - The platform allows organizations to transition from AI pilots to production rapidly, maintaining control and sovereignty over their data while adhering to strict regulatory requirements [3][11] - Fortanix's solution is designed to streamline compliance processes, featuring role-based access controls and consistent audit logs to facilitate regulatory audits [11]

Summary of Key Points from the Conference Call Industry Overview - The conference focused on the Artificial Intelligence (AI) sector, featuring discussions with various AI companies including DataRobot, Uniphore Technologies, Applied Intuition, VAST Data, and BigID, among others [1][11][17][25][63]. Core Insights and Arguments DataRobot, Inc. - DataRobot is an AI-centric enterprise software provider, emphasizing the integration of agentic AI across enterprises. CEO Debanjan Saha noted that 30%-40% of inferencing will occur on-cloud or hybrid in the long term [4][6]. - The company sees challenges in data management, particularly in interpretability and security control, advocating for federated platforms rather than a single solution [5]. - DataRobot's partnerships with NVIDIA and SAP aim to enhance its AI application offerings in finance and supply chain operations [7][8]. Uniphore Technologies - Uniphore focuses on speech analytics and conversational AI, positioning itself as a builder's platform for enterprises developing AI stacks. CEO Umesh Sachdev highlighted a resurgence in on-prem demand driven by data sovereignty and economic considerations [11][13]. - The company reported significant adoption in specific use cases, including insurance and banking, with a notable growth trajectory of 80% this year and a net revenue retention (NRR) of over 130% [15][14]. Applied Intuition - Applied Intuition is transitioning from a simulation vendor to a full-stack autonomy supplier, supporting various industries beyond automotive, including mining and agriculture [17][19]. - The company emphasizes a collaborative approach, allowing OEMs to integrate autonomy on their own operating systems, which enhances flexibility [18]. - Applied is closely monitoring global trends, particularly in China, and aims to expand its market presence in regions with emerging autonomy needs [20]. VAST Data - VAST Data provides an AI operating system designed for distributed computing, focusing on overcoming data structuring bottlenecks with its DASE architecture [25][27]. - The company anticipates a shift towards hybrid environments and emphasizes the importance of data security as enterprises evolve [28]. - VAST Data has achieved significant revenue growth, selling $2 billion in software while remaining cash flow positive [26]. BigID - BigID focuses on connecting data and AI, helping organizations identify high-value data across platforms while ensuring compliance and security [63][64]. - The company is addressing the challenges of shadow AI and identity management, emphasizing the need for robust governance and access controls [66][67]. - BigID's platform automates risk discovery and readiness for AI, moving beyond traditional data management to include unstructured sources [65]. Additional Important Insights - The tech IPO market is recovering slowly, with 11 listings so far in 2025 and expectations for more by year-end. The M&A market remains robust, with $400 billion in tech deals anticipated [34]. - The capital intensity required for AI infrastructure is significant, with major tech companies expected to spend $400 billion in capex next year [36]. - The digital identity landscape is evolving, with ID.me highlighting the importance of fraud prevention in the context of AI-driven identity theft [42][43]. Conclusion - The conference underscored the transformative impact of AI across various sectors, with companies adapting to new challenges and opportunities in data management, security, and operational efficiency. The discussions highlighted the importance of strategic partnerships and innovative solutions in navigating the evolving landscape of AI technology [1][11][17][25][63].

WASHINGTON, May 20, 2025 (GLOBE NEWSWIRE) -- FTI Consulting, Inc. (NYSE: FCN) today announced that the firm’s Technology segment has entered into a teaming agreement with BigID, a leader in data security, compliance, privacy and artificial intelligence-driven data management. The Information Governance, Privacy & Security practice within FTI Consulting’s Technology segment will collaborate with BigID to help clients enhance data management and improve compliance, data protection and risk management processe ...

Core Insights - BigID has announced a new integration with SentinelOne, marking a significant milestone as the first Data Security Posture Management (DSPM) provider to integrate with SentinelOne's Singularity Platform, enhancing threat prioritization for Security Operations Centers (SOCs) [1][2] Integration Benefits - The integration addresses the challenges of increasing sensitive data volumes and sophisticated cyber threats, allowing organizations to better identify and respond to threats, streamline remediation efforts, and accelerate incident response times [2] - Organizations can identify high-risk data exposures, automate compliance checks, and manage data security through a single platform, enhancing visibility into sensitive data locations within networks [3][4] Enhanced Security Operations - The integration provides SOC analysts with immediate insights into sensitive data exposure, enabling faster and more effective responses to real threats [4] - By prioritizing threats based on data sensitivity, organizations can ensure that critical vulnerabilities are addressed first, minimizing the window of opportunity for attackers [7] Company Recognition - BigID has received multiple accolades, including being named a top security company by CRN for two consecutive years and recognized as a market leader in DSPM in the 2023 Global InfoSec Awards, highlighting its innovative approach to data security [6]