The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably most alarming, conclusion of DataGrail's Privacy and AI Trends Report 2026, released today.The San Francisco-based privacy platform analyzed 2,400 popular business software providers and found that 63.6% of vendors that prominently advertise AI capabilities do not disclose... Read more ›
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For months, the leading AI coding benchmarks have told enterprise buyers a comforting but misleading story: the top models are all roughly the same. OpenAI's GPT-5 family, Anthropic's Claude Opus, and Google's Gemini Pro have clustered within a narrow band on Scale AI's SWE-Bench Pro leaderboard, making it nearly impossible for engineering leaders to determine which agent will actually perform best inside their codebases.On Monday, a startup called Datacurve released... Read more ›
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The attacker who hit the most financial services organizations over the past 12 months never phished a password. They called an IT support line, convinced an employee to reset their MFA, and registered their own device on the network.CrowdStrike’s 2026 Financial Services Threat Landscape Report, released this month and covering activity from April 2025 through March 2026, identified Mutant Spider as the single most active threat to the financial services... Read more ›
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Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That definition is no longer sufficient in the AI era, where failure modes are more subtle and often non-linear. AI systems are introducing new layers of technical debt that live across prompts, models, and data dependencies — making these layers less visible, harder to measure, and often more dangerous than traditional debt.A crisis hiding... Read more ›
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There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action. The action was technically correct given the agent's context. The context was incomplete. The infrastructure cascaded. And, by the time the incident review happened, three teams were arguing about whether it was an agent failure or an infrastructure failure, because the frameworks... Read more ›
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On May 19, 633 malicious npm package versions passed Sigstore provenance verification. They were cleared by the system because the attacker had generated valid signing certificates from a compromised maintainer account.Sigstore worked exactly as designed: it verified the package was built in a CI environment, confirmed a valid certificate was issued, and recorded everything in the transparency log. What it cannot do is determine whether the person holding the credentials... Read more ›
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When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often the primary limiting factor.Researchers at multiple universities propose a technique called direct corpus interaction (DCI) that lets agents bypass embedding models entirely, searching raw corpora directly using standard command-line tools.The limits of classic retrievalIn classic retrieval systems such as RAG, d Read more ›
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Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk profiles, was designed for people. Credit analysts, risk managers and sales professionals who could wait for query results and work through ambiguous entity matches. AI agents cannot do any of those things.When D&B's customers started pushing agents into credit, procurement and supply chain... Read more ›
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The AI industry has fully entered the "agent era," a paradigm where AI models do far more than generate text — they now actively plan, execute, and course-correct complex tasks over days rather than seconds. Thus, it's perhaps unsurprising to see Chinese e-commerce giant Alibaba's famed Qwen Team of AI researchers release a model capable of performing autonomous agentic AI work over multiple days: that model has arrived in the... Read more ›
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AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and brittle workflows. The fix most teams reach for — expanding the context window or adding more RAG — is increasingly expensive and still doesn't reliably work.To address this, researchers from Mind Lab and several universities proposed... Read more ›
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RAG architectures are good at one thing: surfacing semantically relevant documents. That's also where they stop.A framework called a decision context graph addresses that gap by giving agents structured memory, time-aware reasoning, and explicit decision logic. Rippletide, a startup in the Neo4j ecosystem, has built one. The key capability: agents that are non-regressive, able to freeze validated sequences of actions and compound on them over time.“The key point you want... Read more ›
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Every MFA check passed. Every login was legitimate. The compliance dashboard was green across every identity control. And the attacker was already inside, moving laterally through Active Directory with a valid session token, escalating privileges on a trajectory toward the domain controller.This is the scenario playing out inside enterprises that invested heavily in authentication and assumed the job was done. The credential was real. The multi-factor challenge was answered correctly.... Read more ›
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Presented by Veriff Americans can’t reliably distinguish real from AI-generated content, and that’s not just a media literacy problem; it’s a direct threat to how businesses verify identity online.New research finds that while many people are aware of deepfakes, their ability to distinguish them from reality is barely better than a coin flip. A 2026 survey conducted by Veriff and Kantar among 3,000 respondents in the United States, the United... Read more ›
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Kore.ai on Wednesday launched what amounts to a ground-up reinvention of its core technology: the Artemis edition of its Agent Platform, a system designed to let enterprises build, govern, and optimize AI agents using AI itself — compressing what has traditionally been months of engineering work into days.The platform arrives at a moment when every major technology vendor — from Microsoft and Salesforce to Google and ServiceNow — is racing... Read more ›
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Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a redesigned investigation architecture, and a shared workspace where engineers and AI agents collaborate in real time on live incidents.The centerpiece of the release is a new multi-agent investigation system developed by Resolve AI's in-house research lab. Instead of deploying a single AI agent to... Read more ›
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Presented by Design.comGenerative AI has made design radically more accessible. A founder can now create a logo, launch a website, build social campaigns, generate presentations, and produce marketing collateral in a single afternoon — work that once required agencies, freelancers, or internal creative teams.But as design generation becomes easier, maintaining a recognizable identity becomes harder.The problem is no longer whether businesses can create content. It’s whether all of that content... Read more ›
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At Google I/O, the company unveiled Managed Agents in its Gemini API — a service that promises to collapse weeks of agent deployment work into a single API call. It's also a sign that Google believes its ecosystem, including the newly launched Antigravity CLI, is ready to own the execution layer end-to-end.Before a single agent is written, teams are already spending days on the unglamorous work: standing up execution environments,... Read more ›
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Canadian AI lab Cohere made waves recently by announcing a merger with German AI startup Aleph Alpha, but now it has even more in store for enterprise builders around the globe: today, the firm co-founded by former Googler and "Attention Is All You Need" co-author Aidan Gomez unveiled Command A+, a highly optimized, 218-billion-parameter language model engineered specifically for complex reasoning, multimodal document processing, and agentic workflows.The most significant aspect... Read more ›
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Less than a week after completing the largest tech IPO of 2026, Cerebras Systems is making its most aggressive play yet to dominate the fast-growing AI inference market. On Monday, the Sunnyvale-based chipmaker announced that it is now running Kimi K2.6 — a trillion-parameter open-weight model developed by Beijing-based Moonshot AI — for enterprise customers at nearly 1,000 tokens per second, a speed no GPU-based provider has come close to... Read more ›
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RAG architectures are good at one thing: surfacing semantically relevant documents. That's also where they stop.A framework called a decision context graph addresses that gap by giving agents structured memory, time-aware reasoning, and explicit decision logic. Rippletide, a startup in the Neo4j ecosystem, has built one. The key capability: agents that are non-regressive, able to freeze validated sequences of actions and compound on them over time.“The key point you want... Read more ›
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10.06.2026 09:56
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