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Designing the agentic AI enterprise for measurable performance

Presented by Edgeverve Smart, semi‑autonomous AI agents handling complex, real‑time business work is a compelling vision. But moving from impressive pilots to production‑grade impact requires more than clever prompts or proof‑of‑concept demos. It takes clear goals, data‑driven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one….

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Five signs data drift is already undermining your security models

Data drift happens when the statistical properties of a machine learning (ML) model’s input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may…

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Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot

For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser. Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external…

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AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops.

Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft’s Vasu Jakkal told attendees that zero trust must extend to AI. Cisco’s Jeetu Patel called for a shift from access control to action control, saying in an exclusive interview with VentureBeat that agents behave “more like teenagers, supremely intelligent, but with no…

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Intuit compressed months of tax code implementation into hours — and built a workflow any regulated-industry team can adapt

When the One Big Beautiful Bill arrived as a 900-page unstructured document — with no standardized schema, no published IRS forms, and a hard shipping deadline — Intuit’s TurboTax team had a question: could AI compress a months-long implementation into days without sacrificing accuracy? What they built to do it is less a tax story…

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OpenAI introduces ChatGPT Pro $100 tier with 5X usage limits for Codex compared to Plus

OpenAI is making moves to try and court more developers and vibe coders (those who build software using AI models and natural language) away from rivals like Anthropic. Today, the firm arguably most synonymous with the generative AI boom announced it will begin offering a new, more mid-range subscription tier — a $100 ChatGPT Pro…

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Mythos autonomously exploited vulnerabilities that survived 27 years of human review. Security teams need a new detection playbook

A 27-year-old bug sat inside OpenBSD’s TCP stack while auditors reviewed the code, fuzzers ran against it, and the operating system earned its reputation as one of the most security-hardened platforms on earth. Two packets could crash any server running it. Finding that bug cost a single Anthropic discovery campaign approximately $20,000. The specific model…

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Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs’ formation

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large language models (LLMs) beginning in early 2023 but coming to screeching halt last year after Llama 4 debuted to…

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New framework lets AI agents rewrite their own skills without retraining the underlying model

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs). Memento-Skills, a new framework developed by researchers at multiple universities, addresses this bottleneck by giving agents the ability to develop their skills by themselves. “It adds…

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LLM-referred traffic converts at 30-40% — and most enterprises aren’t optimizing for it

For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with the advent of AI agents, the primary consumer of information is no longer always human. This is giving rise to a new paradigm: Answer engine…

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