Agent confidence on the technical frontier

An agentic AI power user explains how he’s using the technology to ramp up his productivity——and the surprising challenges of finding himself completely caught up with his work.

The rapid evolution of AI-enabled cyber threats necessitates urgent advancements in AI-specific defenses to protect digital assets effectively. The post CrowdStrike reports 90 organizations targeted by prompt injection attacks in 2025 appeared first on Crypto Briefing.

Learn how banks can combine customer insights, centralized decisioning, and agentic AI in SAS Viya to deliver more consistent, explainable, and personalized customer interactions across every channel. The post Agentic AI in banking: Turning customer insights into action appeared first on SAS Blogs.

AI agents are moving beyond individual productivity and into government operations.  According to Gartner, at least 80% of governments will deploy AI agents to automate routine decision-making, enhancing efficiency and service delivery by 2028. Because of this, government leaders are challenged to determine where they can deliver value with AI agents while maintaining public trust. Their [...] The post AI agents are reshaping government. What should leaders know? appeared first on SAS Blogs.

NEW YORK, June 25, 2026 — Qualcomm Incorporated has announced that it has reached an agreement to acquire Modular Inc, strengthening Qualcomm Technologies, Inc.’s software foundation for generative and agentic AI […] The post Qualcomm Strengthens Data Center AI Push with Modular Acquisition appeared first on AIwire.

For a decade, confidential computing has been chipping away at one of security’s hardest problems: data is well encrypted in transit and at rest, but when a processor works on it, that data sits in memory in the clear, exposed to anyone with privileged host access. “Confidential computing’s aim was to solve this with a trusted execution environment, a subset of the CPU that runs the encrypted workload and handles things like memory encryption,” said Marina Moore, lead security researcher at Edera. For years the field felt like post-quantum cryptography PhD research scientist types agreeing the work is essential, while waiting for it to reach mainstream practitioners. At the Confidential Computing Summit in San Francisco this week, the breakout use case came into focus: agentic AI. Like the web before HTTPS “I was in the really early days of HTTP, and then HTTPS came along pretty quickly,” said Mike Bursell, executive director of the Confidential Computing Consortium. He sees agentic AI

Enterprises may soon be paying as much for their developers’ AI token usage as they do for their salaries. According to Gartner, these costs will meet, or even exceed, the typical software engineer’s monthly salary within the next two years. This is not only because developers are increasingly adopting generative AI and agentic tools, it reflects a trend toward consumption-based licensing models as vendors balance infrastructure investments with profitability. Rather than the flat per-seat SaaS model of the past, enterprises now pay for developer token use as well. Gartner senior principal analyst Nitish Tyagi explained that it’s important to note that Gartner’s prediction is based on a global average salary of $2,000 per month; it doesn’t mean AI token usage will exceed all salaries. For instance, in the US, yearly pay rates can be six digits or more. However, that kind of spend is not out of the realm of possibility, Tyagi emphasized. “I have heard scary numbers like ‘My developer co

Our 2026 State of AI for Business Report surveyed more than 2,100 business professionals, including nearly a third who are marketers and 84% who work for B2B organizations. Respondents said 41% of their organizations describe their AI momentum as inconsistent or siloed. More than half of individual professionals have moved past experimentation, yet their organizations haven't caught up.