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A flaw in three major AI agent platforms shows why guardrails don't work

A flaw in three major AI agent platforms shows why guardrails don't work

At Black Hat 2026, researchers Aviyam Ivgi and Hedi Ingber showed one structural flaw running through three of the largest agent stacks: AWS Bedrock AgentCore with the Strands SDK, Google’s Agent Development Kit, and Vercel’s AI SDK harness. They named that flaw CoreBreak. AWS patched CVE-2026-18830 (CVSS 8.6), Google patched CVE-2026-18236 (CVSS 9.3, critical), and Vercel patched

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AI is moving onto the construction site

AI is moving onto the construction site

In early 2027, in the German city of Koblenz, a construction team will begin work on a new residential “micro living” project. But some of these workers don’t wear hard hats: a part of the team is made up of four-legged, AI-powered robots designed by London-based startup All3, which is developing a system to automate

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The doctor’s AI will see you now

The doctor’s AI will see you now

Doctors are drowning in paperwork. Studies show they spend a significant portion of their workday and time outside of work on clinical documentation, contributing to widespread burnout. But maybe it doesn’t have to be that way; a burgeoning industry is developing AI medical documentation tools — or “ambient scribes” — and a growing number of physicians think this

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Financial advisors ranked dead last in AI adoption in 2023. Here's how fast that changed

Financial advisors ranked dead last in AI adoption in 2023. Here's how fast that changed, and what's still missing

A few years into AI’s rise across every industry, most financial advisors have adopted some kind of tool. But how far has that adoption actually taken them? In 2023, a University of Chicago study examined generative AI usage across 11 professions. Financial advisors ranked lowest, both at work and at home. Jump; Data source: University

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AI vendors can change their risk profile between reviews

AI vendors can change their risk profile between reviews, and most oversight programs never notice

  Organizations often treat AI adoption as a business decision, overlooking its third-party risk management (TPRM) implications. As a result, AI tools are frequently deployed outside procurement and security oversight, creating governance gaps that become harder to manage as risks evolve. This challenge with AI risk management is the pace of change. Organizations are adopting

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Companies keep spending on AI despite roadblocks on returns

Companies keep spending on AI despite roadblocks on returns

  According to new data from autonomous AI knowledge platform Teradata, a persistent tension remains in enterprise agentic AI adoption. Despite continuous and aggressive investment, many organizations are failing to move from experimentation to enterprise-wide adoption. Based on a survey of 1,000 senior technology and data leaders, Teradata’s 2026 report, Arrested Automation: Why Agentic AI

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AI in risk management: Practical applications and considerations

AI in risk management: Practical applications and considerations

  Risk data is expanding faster than teams can manually structure, score, and act on it. As organizations scale, traditional risk management processes built around scattered artifacts become difficult to sustain. Artificial intelligence is helping many teams address these challenges—particularly, turning fragmented systems into a more continuous, data-driven risk management program. ‍There’s tremendous potential for

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Anthropic unveils Claude for Teachers

Anthropic unveils Claude for Teachers, joining OpenAI and Google in race to dominate classroom AI

  Anthropic, one of the world’s most prominent artificial intelligence companies, is launching a version of its AI-powered assistant Claude for teachers, entering a race by technology companies to infuse AI into education. Anthropic boasts that its product can incorporate academic standards from all 50 states, and teachers can use it to help devise lesson

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Why data centers are turning to onsite power

Why data centers are turning to onsite power

  As data center construction accelerates to keep pace with AI, communities nationwide are increasingly concerned about how that development impacts them. In the last six months alone, nearly 30% of data center developers report increased community scrutiny on their projects, according to a survey of U.S. data center operators from power solutions provider Bloom

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Farm-bots: Bringing AI into the fields

Farm-bots: Bringing AI into the fields

  “We do a lot of wonderful work with onions,” is a phrase you don’t hear often while reporting on artificial intelligence. But using algorithms to help farmers improve yields while reducing chemical usage is Swiss startup Ecorobotix’s bread and butter, according to Abbey Flury, global marketing and communications manager at the company. “Our onion

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Nearly 2 in 5 US workers have put company information into personal AI accounts

Nearly 2 in 5 US workers have put company information into personal AI accounts, and most don't know it can be illegal

  The confidential company document has a new address: someone’s personal chatbot history. In a July 2026 survey of 500 employed U.S. adults commissioned by Kolmogorov Law, a California business-litigation firm, and conducted through the Pollfish research platform, 38% admitted they have entered at least one type of work information into a personal AI account

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A busy parent's guide to students using AI

A busy parent's guide to students using AI

  “Just ask your phone.” It’s a common suggestion parents get from their children. Artificial intelligence (AI) now powers many of the tools kids use every day, from search engines and virtual assistants to chatbots and homework help. However, learning how to use these tools effectively and understanding that the answers aren’t always correct is

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The majority of CFOs require human oversight of agentic AI. Here are the 4 governance frameworks finance teams are actually using.

The majority of CFOs require human oversight of agentic AI. Here are the 4 governance frameworks finance teams are actually using.

  For most enterprise finance teams, agentic AI is already up and running. For some businesses, it’s reconciling accounts, flagging anomalies, and classifying transactions. In others, it’s autonomously preparing the key components needed for indirect tax filings. The vendor pitch of faster close cycles, fewer manual errors, and a finance function that can scale is

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