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Article August 28 2025
... regulations due to the black box nature of third-party models AI application security Adversarial prompting attacks, including business logic abuses and direct and indirect prompt injections Vector database attacks Hacker access to model states and parameters Externally-hosted LLM and other GenAI models increase ...
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Premium Research Jul 2026
... Education breach as a trigger to review security controls across their institutions. As exposed contact information increases the risk of identity-based attacks, CIOs should strengthen identity verification, assess credential exposure, and reinforce employee awareness. Analysis Gartner Recommended Reading ...

Analyst(s):   Patrick Long   |   Steve Mate
Research Jul 2026
... Access Insights Already a Gartner client? Autonomous, reasoning-based attack discovery is redefining offensive security by replacing rigid, static testing playbooks across enterprise networks. To maintain a competitive edge and satisfy growing market demand, product leaders should immediately incorporate ...

Analyst(s):   Tom Powledge
Premium Research Jul 2026
... robust cybersecurity can contain such threats. The hack also highlights the risks of rogue agents using unguarded AI models to carry out unauthorized attacks. Analysis Gartner Recommended Reading Evolving Insights History ...

Analyst(s):   Dennis Xu   |   John Watts   |   Franz Hinner   |   Wayne Hankins   |   Charlie Winckless
Premium Research May 2026
... AI agents powered by large language models are susceptible to intent hijacking. Attackers can manipulate agent behavior through, for example, prompt injections or compromised tools. To prevent agentic hijacks, cybersecurity leaders must categorize agent risks, enforce strong controls and adapt monitoring ...

Analyst(s):   Jeremy D'Hoinne   |   Dionisio Zumerle
Premium Research May 2026
... Attackers are targeting not just AI applications but their entire supporting infrastructure, from GPUs to APIs, creating new threat vectors and disrupting AI operations. Cybersecurity leaders must defend every layer powering enterprise-scale AI with proactive controls and governance frameworks. Insights ...

Analyst(s):   John Watts   |   Craig Lawson
Premium Research Jul 2026
... Despite continued investment, many CISOs remain underresourced because cybersecurity spending struggles to keep pace with rising attacker capabilities, AI-related demands, regulatory obligations, and expanding security expectations. This research identifies three difficult spending questions and how ...

Analyst(s):   Elizabeth Davis   |   Nathan Parks   |   Rob McMillan   |   Fadeen Davis
Premium Research May 2026
... the moment to drive a shift toward time-based risk reduction, operational accountability, and measurable reduction in exposure windows relative to attacker speed. Insights at a Glance Pivotal Moment Why Now Action Plan Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Jeremy D'Hoinne   |   Dhivya Poole   |   Mitchell Schneider   |   Jonathan Nunez
Premium Research May 2026
... cybersecurity outcomes. CISOs should prioritize experimenting with AI in IAM, emphasizing rapid, tactical wins, effective management of the expanding IAM attack surface, and maximizing return on AI investments. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Zachary Smith
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