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Sumo Logic upgraded its Data Pipelines product so enterprises can filter, transform, and route telemetry before it is ingested. Its goal was to reduce observability storage costs while preparing cleaner data for AI-driven operations.
To accurately evaluate an AI tool, teams should test with competent non-experts, score against internal ground truth data, and strictly track whether the model or the human solved the task.
Mobile security firm Zimperium has discovered a new AI-powered Android malware named RatHat that tricks users into downloading fake applications and granting accessibility permissions.
KAYTUS upgraded MotusAI to let enterprises run and govern agentic AI workloads on-premises while claiming token operating cost reductions of 30–50%.
Anthropic has chosen Accenture and its AI business Faculty as its first embedded evaluator to help implement a proposed slowdown in AI development. The partnership aims to evaluate models, conduct alignment assessments, and test safeguards. Anthropic and Accenture each expect to invest at least $1 billion in the project over the next five years.
Researchers disclosed two flaws that allowed OpenAI Codex to escape its sandbox, including one that could execute commands on a developer's machine from the strictest read-only mode without an approval prompt. OpenAI fixed both issues, but the incident is another reminder that coding agents should be treated like privileged software: keep clients updated, limit local permissions, and be cautious about opening untrusted repositories with agentic tools.
AI can only be as effective as the enterprise's understanding of its own data, relationships, and decision-making rules. Without a clear ontology and traceable path from data to action, AI can automate the wrong interpretation at scale. This makes governance, context, and organizational learning more important, not less.
AI agents complicate traditional IAM because one employee action may now pass through a model, agent, plugin, service account, API, and downstream application before anything actually happens. Companies need to govern agents as identities themselves, including defined permissions, attributable actions, access reviews, and audit trails that can reconstruct the full chain from the human request to the resulting business action.
Microsoft has introduced two new features to its Cloud Rebuild Windows recovery tool in Windows 11 Experimental Insider build 26340.9502: Drive Sanitization and Remote Deployment via Recovery CSP. These additions allow IT administrators to securely sanitize device storage hardware and remotely trigger full Windows 11 reinstalls without requiring a USB installer.
Cloudflare explains how relatively small changes to the consistent-hashing implementation used by one of its Pingora services allowed it to reclaim more than 100TB of RAM across its global infrastructure. It is a great example of how engineering economics change at hyperscale: shaving bytes from a data structure and reducing unnecessary hash replicas can turn into infrastructure savings measured in hundreds of terabytes.
Supabase Auth can support unsupported SMS providers through the Send SMS hook, while GoTrue handles code generation, hashing, expiry, and session issuance. This approach keeps authentication logic within GoTrue and delegates only SMS delivery to a custom endpoint, avoiding the security risks of building a separate auth subsystem.
Google is expanding Workspace Studio with custom triggers, Apps Script-powered steps, webhooks, and integrations with tools including Slack, Jira, Salesforce, HubSpot, Asana, and QuickBooks. The end-user rollout begins September 21, and the important detail for IT is that these capabilities are off by default with admin controls for integrations, webhooks, approvals, and URL allowlists - exactly the governance layer increasingly needed for employee-built automations.
A six-stage operating model for building an operational technology (OT) security program that prioritizes process availability and safety over IT-style confidentiality.
The September 18 release adds expanded voice translation, translated in-meeting chat, 4K/60fps content sharing, meeting-summary participant lists, redesigned host controls, and other Workplace improvements.
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Huawei moved up the launch of its next-generation Ascend 960DT AI chip to Q1 2027 as it tries to close the gap with Nvidia. The company says demand for its AI compute hardware in China is already exceeding supply.
OpenAI disclosed cases where models tried to evade oversight, conceal mistakes, and work around constraints during testing. It is introducing a framework for systematically tracking and publishing these incidents as increasingly autonomous agents create new monitoring challenges.
Gartner expects worldwide AI spending to rise 49.5% this year to $2.7 trillion. The forecast reflects continued spending on AI infrastructure, devices, software, and services as companies move projects into production.
According to Gartner, traditional centralized cloud architectures are holding back the agentic AI revolution by failing to provide the continuous, high-frequency inference needed for real-time enterprise workflows. Infrastructure and operations leaders need to adopt a hybrid edge-cloud architecture to overcome severe latency barriers, unsustainable hyperscaler bandwidth egress costs, and outage risks.
Microsoft says its own AI rollout showed that deploying tools broadly is not enough. Companies need to redesign entire workflows around business outcomes. Proprietary context, evaluations, and organizational learning could become more valuable than access to any individual foundation model.
As agents perform longer tasks, they increasingly need reliable access to enterprise data, past decisions, and memory across many retrieval steps. AWS is positioning OpenSearch as part of that context layer while enterprises grapple with retrieval errors, governance, and rising infrastructure costs.
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Every new monitoring tool, service, or "quick integration" adds another dashboard to the pile—and before you know it, you're spending more time switching between tools than actually building. With Microsoft Azure [15], your entire stack lives in one workspace: infrastructure, data, AI, and more. See how Azure brings it all
Dataminr Advanced for Corporate Security introduces agentic AI capabilities designed to automatically corroborate, contextualize, and predict security threats. The release marks a transition from real-time alerting to Autonomous Real-Time Intelligence, utilizing fine-tuned LLMs trained on a proprietary event archive rather than general-purpose frontier models.
Sourcegraph has launched Agentic Batch Changes, a frontier coding agent designed to execute codebase-wide modifications across hundreds or thousands of repositories. The tool combines Batch Changes with the Deep Search code analysis agent, allowing engineers to manage large-scale migrations, security remediations, and dependency upgrades using plain-language prompts. Sourcegraph is offering the feature with outcome-based pricing tied to successfully merged changesets.
Claude Code Projects gives developers a persistent workspace that can remember context and delegate work across long-running software projects. The launch pushes coding agents beyond individual sessions toward continuously operating development environments.
There are two dominant architectural patterns for AI gateways in production inference: access gateways that route outbound requests from applications to multiple model providers, and serving gateways that manage inbound customer traffic for organizations operating their own models. Serving gateways act as an essential control layer for identity, routing, protection, metering, and auditing when exposing proprietary models commercially.
Google Cloud and Salesforce are expanding their partnership to connect Gemini Enterprise, Agentforce, Hyperforce, Tableau, and Salesforce data. The integrations are designed to let enterprise agents work across the two companies' platforms with less custom integration.
The Graph RAG pipeline achieves significant reductions in API hallucination rates and improvements in dependency resolution, though it trades off some cyclomatic complexity and docstring preservation.
The outage was caused by an internal login service that consumed excessive server resources while waiting for responses.
Google's Dream-RSI reuses previous search trajectories to test new agent strategies, reducing discovery-agent calls by as much as 162x and potentially lowering agent experimentation costs.
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Ungoverned AI does not wait for your risk program to catch up. It is embedded in software you already license, deployed by teams that never routed it through review, and operating without an audit trail. The State of Enterprise AI Risk covers the five sources of enterprise AI risk, the frameworks that actually matter, and what to fix before your board or regulators ask the accountability question.
A Deloitte study found 63% of UK workers have used generative AI for work, while 31% are using it without their employer's knowledge and 17% are personally paying for at least one AI tool. For IT teams, the takeaway is less about stopping AI adoption and more about getting approved tools, training, data controls, and governance in place before shadow AI becomes the default.
Salesforce suffered a widespread service disruption on September 16 that caused severe delays, intermittent errors, and access problems across regions, with Salesforce attributing the issue to increased load on a core system component. Google Drive separately experienced a 37-minute disruption the same day — a useful reminder of how much employee productivity now depends on a small number of SaaS platforms and why IT still needs outage communications and fallback processes even for highly resilient cloud services.
Google is rolling out MCP-based integrations that let Gemini interact directly with Salesforce, HubSpot, Asana, Monday, QuickBooks, Mailchimp, and Atlassian Rovo from Gmail, Docs, Drive, Sheets, Chat, and other Workspace apps. The important admin detail: third-party connectors are enabled by default for users with Gemini access, although IT can control them by domain, OU, or group, making this something Workspace admins should review rather than simply treat as another end-user AI feature.
An application becomes an enterprise app based on business dependency rather than its technology, development speed, or where it is used. As AI coding agents enable employees to build software quickly, organizations must recognize that apps transition into enterprise software when the business relies on them to operate, requiring appropriate governance, support, and security as risks and user counts grow.
Gartner expects companies to face new operational problems ranging from AI “cost exhaustion” attacks to a flood of disposable AI-generated applications. One especially relevant prediction for IT: organizations will increasingly need real-time AI cost controls, while CIOs take greater responsibility for proving that governance and guardrails around AI actually exist and work.
Starting with Chrome 155, extensions that use Chrome's powerful chrome.debugger API will be blocked from attaching when enterprise policies restrict host access, screenshots, or DLP-protected content. The change only affects managed browsers with those policies configured, but IT teams with internally developed or approved extensions should test ahead of the October 6 stable rollout because some extensions may stop working unless they move to more limited Chrome APIs.
Rivet has announced the release of Rivet BYOC (Bring Your Own Cloud), a control plane deployed inside a customer's AWS or Google Cloud VPC and managed by Rivet. The offering allows data and compute to remain in the user's account while Rivet handles deployments, updates, and maintenance via an operator running in a Kubernetes cluster.
Google introduced reusable Workspace skills that package an organization's prompts, rules, templates, and reference material so Gemini can repeatedly follow the same process across Gmail, Docs, Drive, Chat, and Workspace Studio. Teams can collaborate on skills like documents, while centralized governance and Admin console distribution are coming, effectively turning internal procedures into reusable AI automations.
Salesforce has evolved its Well-Architected Framework to address the complexities of the Agentic Enterprise and interconnected autonomous systems. The updated framework is organized around five pillars: Trust, Reliability, Operational Excellence, Resource and Cost Optimization, and Fairness, each featuring a dedicated Agentic Enterprise lens.
Tracking Model Context Protocol (MCP) servers on employee devices is an endpoint inventory problem rather than an identity or network issue, because servers are launched locally via hand-edited configuration files without admin consoles or SSO logs. To maintain a complete inventory, security teams must read per-client configuration files across the fleet to resolve the actual entrypoints, package versions, and environment variables in use.
Dreamforce put a growing disagreement among AI leaders on display, with Anthropic's Dario Amodei calling for stronger guardrails and a slower pace at the frontier while Nvidia's Jensen Huang argued against broadly slowing development. Regardless of which approach wins out, enterprises deploying agents will increasingly need their own standards for what models and capabilities they are willing to allow.
AIUC raised $40 million to expand a third-party testing and certification standard for enterprise AI agents, evaluating risks including prompt injection, jailbreaks, data leakage, hallucinations, and unauthorized actions. The interesting part for IT and security teams is the emerging idea of a SOC 2-like independent assurance layer specifically for the agents companies are being asked to approve.
This guide outlines the best knowledge engine platforms in 2026 and differentiates them from underlying components like vector databases and metadata catalogs.
Microsoft's KB5002914 update can cause paste operations to silently fail in Excel 2016, 2019, 2021, and 2024.
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AI is accelerating how software gets built and shipped. But for enterprise teams, moving faster also means rethinking security, governance, reliability, and control. At {unscripted} Virtual, hosted by Harness, leaders from Anthropic, Workday, SpaceXAI, Riot Games, Google, and more will share how organizations are adapting software delivery for the agentic era, including how to: ✅ Scale AI across the SDLC with the right guardrails ✅ Keep security and governance aligned with AI-driven velocity ✅ Build platforms ready for increasingly autonomous agents September 30 | Virtual | 10:00 AM PT