Scott Crawford is research director of the Information Security channel at S&P Global Market Intelligence 451 Research, where he leads the industry analyst team covering innovation, disruption and strategic players in cybersecurity and cyber risk. Scott joined S&P Global through its 2019 acquisition of 451 Research, where he has led the Information Security channel since 2015. In addition to directing the Information Security channel’s research efforts, Scott covers forces and events shaping cybersecurity. He maintains a focus on areas including security operations, cyber risk management, the intersection of AI/machine learning and cybersecurity, and related interests. As a practitioner, Scott was the first information security officer for the Comprehensive Nuclear-Test-Ban Treaty Organization’s International Data Centre in Vienna, with a background including systems and security management at the University Corporation for Atmospheric Research in Boulder, Colorado. His private-sector experience ranges from startups to leading industry players such as IBM, where Scott was a senior strategist with IBM Security. Scott holds a Bachelor of Arts in molecular, cellular and developmental biology from the University of Colorado and a postgraduate Master of Science from the University of Salford (UK), with additional graduate study in telecommunications at the University of Colorado and in information systems at the University of Denver.
The Model Context Protocol specification has helped accelerate access to a wide range of data sources for AI applications. But there are questions around the security and trust implications of a protocol still in its infancy.
At the 2025 edition of Cisco Live in San Diego, the company put forth a new vision of its role in shaping the emerging infrastructure essential in supporting AI, a significant factor in technology today. Will its execution match the expansive ambitions of that vision?
Many segments of the highly fragmented security market involve proactive environment hardening and reactive threat detection and response. Bringing these two disparate themes together is a fairly recent development that offers benefits for improving both and reducing noise and fragmentation for practitioners.
"Any model, any accelerator, any cloud" was the tagline at this year's Red Hat Summit customer event. Red Hat's announcements around AI continue to show its commitment to the technology. The company's vision for AI guided by smaller, more optimized models remains clear.
Security vendors and practitioners alike have long been plagued by gaps between silos in security technology. Tuskira believes that advances in AI make closing many of those gaps achievable. Its approach offers particular promise for uniting proactive and reactive security domains that have long been isolated from each other.
The buyer's aim to integrate functionality across a wider swath of the security space was first demonstrated by its pickup of Avalor in 2024 — a deal five times larger than all of its previous purchases combined. With the acquisition of MDR provider Red Canary, Zscaler confirms that it intends to extend its platform play beyond its current scope.
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