The phrase “agentic AI” has moved from the whitepapers of research labs into the boardrooms of the Fortune 500, the pitch decks of venture-backed startups, and the strategy documents of governments trying to make sense of what is happening to the global economy. Yet for all the noise, a surprisingly small number of the people […]
Anthropic has proposed new AI policy frameworks as advanced systems gain stronger capabilities. The company wants governments to set rules for frontier models and prepare workers for AI’s economic impact. Its plan covers dangerous deployments, independent testing, cybersecurity, and public…
BitGo's Fortune 500 debut highlights the growing mainstream acceptance and financial viability of digital asset infrastructure companies.
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AI-generated code is riddled with security flaws, yet enterprises are shipping more of it than ever before. Why? Perhaps they’re over-confident, lack true visibility into security risks, or are simply choosing to ignore the problem and hope it goes away.
It’s a dangerous game to play at the dawn of the agentic AI era, as underscored in a new report from app security company Checkmarx.
The survey of thousands of security leaders exposes an underlying naivete about AI-built code and its vulnerabilities, even as tools like Anthropic’s Mythos are uncovering security flaws orders of magnitude faster than any human security team could ever hope to.
“Mythos-class models collapse the window between a vulnerability existing and a working exploit being available from months to minutes,” the report notes. Enterprises relying on traditional security tools and methods, it says, “cannot survive this reality.”
Security as an afterthought
Checkmarx’s survey of 2,350 CISOs, AppSec managers, and develop
The expanded partnership accelerates enterprise AI integration, enhancing governance and operational efficiency, crucial for digital transformation.
The post Microsoft and KPMG extend global tie-up to power agentic AI for enterprises appeared first on Crypto Briefing.
Coinbase’s head of institutional strategy, John D’Agostino, says large investors are not retreating from Bitcoin’s latest selloff, even after the asset fell below $60,000 for the first time since October 2024. Speaking on CNBC’s Squawk Box on June 8, D’Agostino said institutional investors, family offices and sovereign-linked buyers are treating the drawdown as an opportunity to accumulate rather than a reason to exit. The remarks came during a discussion about whether Bitcoin’s decline toward the $59,000 area could hold as support, with CNBC’s Joe Kernen noting concerns that a deeper break could open the door to a much larger move lower. D’Agostino declined to make a direct price call, saying he does not want to offer investment advice, but pointed to the behavior of long-term allocators he speaks with through Coinbase’s institutional business. “What I can tell you is I have the luxury of speaking to institutional investors. They’ve put months and years into looking at this asset clas
Anyone can build an app now. But nobody seems to care.
Well, not nobody. VCs keep funding startups that add AI to, well, everything. But users aren’t buying the massive influx of new apps. In a chart shared by Jen Zhu Scott based on the new National Bureau of Economic Research’s working paper “Writing Code vs. Shipping Code,” iOS app releases have exploded since the advent of agentic AI. That would perhaps be cause for celebration had app reviews not declined during this same period, and apps with significant usage have stayed essentially flat.
In other words, more apps but almost nobody new showing up to use them.
For those of us that grew up in open source, it’s a familiar problem. The greater the abundance of code, the greater the need to help would-be customers navigate it through marketing (including branding), sales, etc. AI is creating so much noise, in terms of new code, new products, etc., that the real work has shifted to taste-making.
Getting more but not using more
I’ve bee
In an interview, Sarah Bird, Microsoft's chief product officer for responsible AI, said that governments worldwide must regulate AI to build trust among companies and people. But, the regulation must not come at the caution of stifling industries at early stages.