Futurum Research Finds API and AI Risks Top Application Security Concerns
API governance and AI risks as leading application security challenges, highlighting the need for broad, integrated defense strategies.
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API governance and AI risks as leading application security challenges, highlighting the need for broad, integrated defense strategies.
With customer support and experience now the top generative AI use case for enterprises, the pressure to differentiate through AI-augmented workflows ...
Trust, Reliability, and the Hallucination Problem. AI agent reliability and hallucination management is now the number one adoption challenge ...
... risks of AI -driven development. According to Futurum Group's 1H 2026 ... Does Ensemble AI Actually Reduce Risk , or Just Shift It?
The stakes are high: as AI takes over more operational decisions, CIOs must weigh efficiency gains against new risks in system trust, vendor lock-in, ...
OpenAI's Sora discontinuation in 2026 AI platforms forces enterprises to rethink vendor lock-in risks and critical migration strategies for ...
It also helps validate the value of the NPU (beyond improving performance per watt) by delivering the kind of true on-device AI use case that the AI ...
AI failure modes have proven remarkably stable despite aggressive investment. MLOps complexity (12.0%) and integration difficulties (10.5%) remain ...
Palo Alto Networks launches Trust Security platform to automate defenses against AI -driven threats and keep enterprises protected.
Risks and opportunities for security vendors amid consolidation and AI adoption. The News. Palo Alto Networks is repositioning its NextWave partner ...
... risk introduced by AI -driven threats . Vendors that can deliver integrated, AI -powered security platforms will have the upper hand, but execution ...
This is a calculated risk . According to Futurum Group's 1H 2026 AI Platforms Decision Maker Survey (n=838), 65% of organizations are researching, ...
If Accenture cannot show credible risk management and tangible client outcomes, the ai -first mandate policy risks becoming a checkbox exercise rather ...
... AI use case . This divide-and-conquer approach, surfaced through Bedrock as a managed service, positions AWS to offer a differentiated inference ...
Capabilities such as FortiView for AI attack surface and shadow AI emphasize the need to distinguish sanctioned from unsanctioned tools as AI usage ...
... AI use-case adoption for organizations with complex or large-scale transformation needs. SAP's leadership emphasizes that the new model is built ...
The main strategic question coming out of the call is whether Elastic can translate rising AI use-case breadth into durable reacceleration across ...
... AI use case in which data residency, technology independence from U.S. hyperscalers, and power efficiency align with national AI infrastructure ...
AI use case revenue will shift to code generation and process automation, collectively driving over 43% of the total platform market value.
The Era of Agentic AI and Non-Human Identities (NHI) · Governing the “ Shadow AI ” Explosion and Expanding Supply Chains · Platform Dynamics: API ...
This essentially treats non-human agents with the same identity rigor as employees, a necessary step as “ shadow AI ” grows. Finally, the divide ...
In the ever present open model war and AI use case war, we now have Microsoft adding anthropic to Copilot. What's going on here, Daniel? Daniel ...
Monitor agentic AI use case studies for productivity gains, cost savings, and improved customer satisfaction as a result of the investment into ...
... AI governance and shadow AI detection as enterprise adoption accelerates. Satori could be integrated as the access-layer enforcement point ...