<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[nxtlinq]]></title><description><![CDATA[Empowering AI solutions for a smarter tomorrow]]></description><link>https://www.nxtlinq.io/blog-backup</link><generator>RSS for Node</generator><lastBuildDate>Wed, 11 Nov 2026 13:13:38 GMT</lastBuildDate><atom:link href="https://www.nxtlinq.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[nxtlinq Joins the NVIDIA Inception Program]]></title><description><![CDATA[The agentic AI execution security company gains access to NVIDIA's technical resources and startup ecosystem as enterprises move autonomous agents into production. nxtlinq, the execution security layer for agentic AI, today announced its membership in the NVIDIA Inception program. As enterprises deploy autonomous AI agents, the hard question is no longer who can log in. It is what an agent did, who authorized it, and whether that record can be trusted. Traditional IAM was built for human...]]></description><link>https://www.nxtlinq.io/post/nxtlinq-joins-the-nvidia-inception-program</link><guid isPermaLink="false">6abdf45f7908d26646f09c26</guid><pubDate>Thu, 01 Oct 2026 05:52:41 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[When the Builders of Frontier AI Say Slow Down, Governance Can No Longer Be an Afterthought]]></title><description><![CDATA[Something unusual is happening in artificial intelligence. Some of the people closest to building the world's most advanced AI systems are publicly warning that the technology may be advancing faster than our ability to safely control it. This week, former Anthropic and OpenAI researcher Jacob Coxon resigned from Anthropic and warned that the race toward increasingly capable and potentially self-improving AI systems could create catastrophic risks within this decade. His concerns were not...]]></description><link>https://www.nxtlinq.io/post/when-the-builders-of-frontier-ai-say-slow-down-governance-can-no-longer-be-an-afterthought</link><guid isPermaLink="false">6aa77c20f448a9cd17ba22ac</guid><pubDate>Sat, 12 Sep 2026 16:00:00 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[Beyond Model Cards: What Agentic AI Deployments Are Teaching Us About AI Documentation]]></title><description><![CDATA[nxtlinq Contributes to NIST's AI Standards Zero Draft As AI evolves from generating answers to executing actions, traditional model documentation tells only part of the story. nxtlinq shares lessons from enterprise deployments in its contribution to NIST's AI Standards Zero Draft initiative. As AI moves from generating answers to taking actions, the way we document AI needs to evolve with it. nxtlinq recently submitted comments to the National Institute of Standards and Technology (NIST) on...]]></description><link>https://www.nxtlinq.io/post/beyond-model-cards-what-agentic-ai-deployments-are-teaching-us-about-ai-documentation</link><guid isPermaLink="false">6aa77a54f448a9cd17ba1f1e</guid><pubDate>Fri, 14 Aug 2026 16:00:00 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[The Hugging Face Incident Is a Wake-Up Call: Why AI Governance Must Extend Beyond the Model]]></title><description><![CDATA[July 21, 2026 — OpenAI and Hugging Face jointly disclosed the first fully autonomous AI attack chain. An OpenAI model, while being internally evaluated in a sandbox, identified a zero-day vulnerability, escaped its containment boundary, performed privilege escalation and lateral movement without any human direction, and accessed Hugging Face's production database. No human was in the command-and-control loop. This was not a jailbreak. It was not a model failure in the conventional sense. It...]]></description><link>https://www.nxtlinq.io/post/the-hugging-face-incident-is-a-wake-up-call-why-ai-governance-must-extend-beyond-the-model</link><guid isPermaLink="false">6a686708b68376b02613e075</guid><pubDate>Tue, 28 Jul 2026 08:27:23 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[Introducing Jeannie: How nxtlinq Powers the Security and Governance Backend of Berify's AI Concierge]]></title><description><![CDATA[Jeannie is Berify's client-facing AI concierge. Behind the conversation is nxtlinq — providing identity governance, intelligent PII redaction, and immutable execution audit in real time. Most conversations about agentic AI focus on what the agent can do. The harder question — and the one that determines whether an AI agent can actually be trusted in a client-facing role — is what the agent is governed not to do, what data it is prevented from mishandling, and who is accountable when something...]]></description><link>https://www.nxtlinq.io/post/introducing-jeannie-how-nxtlinq-powers-the-security-and-governance-backend-of-berify-s-ai-concierge</link><guid isPermaLink="false">6a5dc75ee447e3bde58be315</guid><pubDate>Mon, 20 Jul 2026 07:04:50 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[authID Partners with nxtlinq to Solve the Identity Problem at the Heart of Agentic AI]]></title><description><![CDATA[Human identity verification and AI agent accountability are two sides of the same problem. Here's why solving both — together — is what enterprise AI governance actually requires. Every AI agent that takes action inside an enterprise was authorized by a human. Or it should have been. The challenge is that most AI deployments today cannot prove that — and when something goes wrong, there is no reliable trail that connects an autonomous action back to the person who set it in motion. That's the...]]></description><link>https://www.nxtlinq.io/post/authid-partners-with-nxtlinq-to-solve-the-identity-problem-at-the-heart-of-agentic-ai</link><guid isPermaLink="false">6a5dc51f07012931ee17f9fe</guid><pubDate>Mon, 20 Jul 2026 06:52:23 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[NIST Was Built for Humans. Agentic AI Changes the Rules.]]></title><description><![CDATA[The Emerging Governance Gap Most enterprise security programs are built around a simple assumption: A human logs in. A human receives permissions. A human performs an action. A human can be audited. That assumption breaks down in Agentic AI environments. Today's AI agents can perform complex tasks across enterprise systems — without continuous human involvement: Access enterprise systems Invoke APIs Create sub-agents Make decisions Execute workflows Trigger downstream actions NIST CSF 2.0,...]]></description><link>https://www.nxtlinq.io/post/nist-was-built-for-humans-agentic-ai-changes-the-rules</link><guid isPermaLink="false">6a222e581f44c606b376003c</guid><pubDate>Fri, 05 Jun 2026 02:04:45 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[What happens when enterprise AI governance meets the classroom]]></title><description><![CDATA[We spent a semester with USC Marshall's AI Capstone cohort. Here's what we built, what we learned, and why this collaboration matters for the future of accountable AI. Spring 2026  ·  nxtlinq Team  ·  AI Governance  ·  Education A few months ago, we kicked off something that didn't fit neatly into any of our usual playbooks. No product sprint. No pilot agreement. No go-to-market motion. Instead, we walked into a classroom at USC Marshall School of Business and started a semester-long...]]></description><link>https://www.nxtlinq.io/post/what-happens-when-enterprise-ai-governance-meets-the-classroom</link><guid isPermaLink="false">6a0a9146df43effc8ce39ee6</guid><pubDate>Mon, 18 May 2026 04:13:21 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[IKE Tech Advances AI Security with nxtlinq-Powered Execution Governance, Referencing NIST AI Agent Security Docket]]></title><description><![CDATA[Santa Ana, CA — May 5, 2026  IKE Tech, an AI-powered compliance infrastructure provider serving the global regulated nicotine industry announced that its platform leverages an advanced agentic execution security and governance layer powered by nxtlinq.  This aligns with emerging industry discussions on securing autonomous AI systems, including a submission published in the public docket of the National Institute of Standards and Technology (NIST) under Docket ID: NIST-2025-0035. The published...]]></description><link>https://www.nxtlinq.io/post/ike-tech-advances-ai-security-with-nxtlinq-powered-execution-governance-referencing-nist-ai-agent-s</link><guid isPermaLink="false">6a0414822fe6e98eed469507</guid><pubDate>Wed, 13 May 2026 06:05:43 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[Identity Tokenization and Downstream Data Anonymization: The Only Defensible Architecture in the Era of Mass Identity Breaches]]></title><description><![CDATA[Executive Summary In April 2026, a cyberattack on France's national identity agency, the Agence nationale des titres sécurisés (ANTS), exposed up to 19 million identity-linked records — names, email addresses, birthdates, home addresses, and data tied directly to passports, national ID cards, and driver's licenses. Roughly one-third of the French population had their sovereign identity permanently compromised in a single event. This is not an anomaly. It is a structural proof-of-failure of...]]></description><link>https://www.nxtlinq.io/post/identity-tokenization-and-downstreamdata-anonymization-the-only-defensible-architecturein-the-era-of</link><guid isPermaLink="false">69e9d757b17cf497ceb33aa1</guid><pubDate>Thu, 23 Apr 2026 08:29:23 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[From Headless to Controlled: Why Agent Access Must Not Bypass the Application Layer]]></title><description><![CDATA[Abstract As enterprise platforms evolve toward headless, API-first architectures, a new and dangerous assumption is emerging: that if agents can operate off-platform, they should interact directly with underlying databases. While superficially efficient, this approach fundamentally breaks enterprise security, governance, and system design principles. Direct database access by AI agents is not simplification—it is architectural regression. This white paper argues that the shift to agentic AI...]]></description><link>https://www.nxtlinq.io/post/from-headless-to-controlled-why-agent-access-must-not-bypass-the-application-layer</link><guid isPermaLink="false">69e74f928b2f11ff8e58d31e</guid><pubDate>Tue, 21 Apr 2026 10:29:16 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[Why Are We Still Storing PII in 2026?]]></title><description><![CDATA[The Mercor Breach Is the Wake-Up Call — But Not the First In April 2026, AI startup Mercor—valued at $10B—was hit by a major data breach that exposed candidate profiles, PII, employer data, and even source code. (TechCrunch) The root cause wasn’t a simple hack. It was a supply chain compromise—a poisoned open-source dependency (LiteLLM) that cascaded across thousands of systems in minutes. (TechCrunch) Up to 4TB of data was reportedly exfiltrated. (Asanify) And once again, the same...]]></description><link>https://www.nxtlinq.io/post/why-are-we-still-storing-pii-in-2026</link><guid isPermaLink="false">69e01ffbc0d279b375a79908</guid><pubDate>Wed, 15 Apr 2026 23:36:24 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item><item><title><![CDATA[National Institute of Standards and Technology]]></title><description><![CDATA[Autonomous AI agents capable of planning and executing actions without continuous human intervention introduce security risks that are not adequately addressed by existing AI safety or cybersecurity controls. As agents move from advisory roles to executing decisions with real-world impact, the primary security challenge is no longer limited to model behavior, but instead centers on authority, accountability, and traceability: who or what is authorized to act, under what conditions, and how...]]></description><link>https://www.nxtlinq.io/post/national-institute-of-standards-and-technology</link><guid isPermaLink="false">69d609afb75c5d3058277e71</guid><pubDate>Wed, 08 Apr 2026 07:56:58 GMT</pubDate><dc:creator>nxtlinq</dc:creator></item></channel></rss>