... Insights Already a Gartner client? Buying PAM tools without a strategy invites data breaches, ransomware lockouts and compromised systems. Cybersecurity leaders must define their specific requirements, maturity curve, and resource needs prior to selecting a PAM vendor. Insights at a Glance Impact Actions ...
Analyst(s): Scott Brinker | Michael Kelley
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... Centralized risk management cannot support the operational agility required to keep pace with rapid digital innovation and evolving cyber risks. Cybersecurity leaders must enhance collaboration and support autonomous decision making under centralized governance to minimize risk. Insights at a Glance Impact ...
... Gartner client? Deploying IT-centric endpoint protection (EPP/EDR) tools in cyber-physical environments introduces operational fragility as they are neither purpose-built nor qualified for industrial systems. Cybersecurity leaders must balance posture improvement against the risks of disrupting critical ...
... CISOsmust expand their AI cybersecurity strategy beyond AI-enabled attacks and attacks on AI to include the most consequential AI harms that emerge without a malicious actor through dark AI. By addressing three dark AI scenarios, CISOs can strengthen enterprise resilience while enabling more secure ...
... reflecting the criticality of services adoption for future business growth. Despite macroeconomic uncertainty in the near term, long-term growth will be underpinned by sustained demand for AI, cybersecurity and intelligent operations services. Opportunity Overview Notable Changes Methodologies and Definitions ...
Analyst(s): Brendan Williams | Cathy Tornbohm | Chrissy Healey | Hardeep Singh | Grigory Betskov | Mohit Khemka | Neha Sethi | Gaspar Valdivia | Robert Brown | Fabio Di Capua | Matthew Brown | Danny Ryan | Tom Coshow | Katie Gove | David Ackerman | Scott Frederick | Gunjan Gupta | Ed Anderson | Rene Buest | Ben Fieselmann | Ted Chamberlin
... Even if AI pilots generate strong short-term results, organizations often face difficulties preserving that value in large-scale production environments due to cost, cybersecurity, and trust risks. Leaders responsible for AI can use this tool to assess AI risks and value delivery by measuring key indicators ...
Analyst(s): Stefan Dumitrescu | Andrew Bales | JC Martel, PhD | Joel Backaler | Rita Sallam
... realize its potential value, but shifting from “ready to fail” to “ready to scale” requires them to close three risk gaps upfront and in production: cost, cybersecurity, and trustworthiness. Miss one, and you miss protecting the value you’re trying to create. Insights at a Glance Issue Impact Implications ...
... Access Insights Already a Gartner client? Technical trade-offs preclude universally sovereign SASE deployment. Cybersecurity and infrastructure and operations leaders must assess constraints, and balance cost and capabilities with regulatory needs, to select a “sovereign enough” deployment model. Insights ...
Analyst(s): Charlie Winckless | Andrew Lerner | Charanpal Bhogal | Theo de Feligonde
... Driven by the rise of AI and its impact on security markets, cybersecurity leaders must adapt to a threat landscape increasingly defined by AI-driven attacks. Transforming the SOC through AI is critical to moving from reactive defense to a proactive posture in this new era. Insights at a Glance Strategic ...
Analyst(s): Carlos De Sola Caraballo | Angel Berrios