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Nuclearn Launches Equipment AI for Real-Time Alarm Diagnosis and Insight at Nuclear Plants

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New AI-powered workflow connects sensor data, work history, and plant documentation, so teams can diagnose equipment issues and manage alarms in minutes, with more confidence.

PHOENIX, July 30, 2026 /PRNewswire/ — Nuclearn, a leading provider of AI solutions purpose-built for the nuclear industry, today announced the launch of Equipment AI, a new product that connects sensor data, work history, operator logs, condition reports, procedures, design documents, and maintenance guidance into a single AI-powered workflow. The product helps nuclear teams diagnose equipment issues and manage alarms in real time and with more confidence.

“Alarm fatigue and the loss of institutional knowledge as our most experienced engineers retire are two of the biggest risks facing this industry,” said Brad Fox, CEO of Nuclearn. “Equipment AI addresses both at once – putting decades of plant experience in front of the engineer at the moment they need it. Leveraging AI to create a meaningful shift in how nuclear utilities approach plant reliability is why we started Nuclearn in the first place, and Equipment AI is a direct result of that mission.”

Nuclear plants monitor thousands of components, and even a routine day can bring a steady stream of low level alarm notifications. Separating a nuisance alarm from a genuine equipment concern is a full-time job, yet the information needed to make that call, including sensor trends and the plant record behind them, typically lives across multiple disconnected systems. Most AI tools analyze either sensor data or maintenance records, but rarely both. Equipment AI reasons across time-series data and unstructured plant information in a single platform, producing a complete picture rather than an isolated chart, alarm, or work order. Beyond sharper diagnostics, it’s also helping the industry preserve decades of engineering knowledge as it prepares for its next generation of workers.

Equipment AI brings together nuclear domain knowledge, utility data integrations, and source-grounded AI workflows, giving teams a purpose-built way to connect equipment data, plant documentation, and operational context in one place. It is built for the systems nuclear teams already use, including plant historian (PI) data, work order systems, and CAP/condition report platforms, and is designed with the security, traceability, and audit-trail requirements the industry expects.

“Most tools challenge teams to find and aggregate sensor trends supporting the paperwork, and the applied first principles engineering behind it. Equipment AI does both at once, giving engineers the full picture of what a piece of equipment has been telling them, not just a fragment of it,” said Lorenzo Slay, Vice President of Product at Nuclearn. “This is especially true in nuclear power, where the context behind an alarm often lives in a work order, a condition report, or a procedure written years ago. Equipment AI brings all of that together in real time, so teams can make a faster, better-informed call.”

Equipment AI is already live at several nuclear plants, where teams are seeing significant improvements in alarm response time and diagnosis speed. It is available for immediate purchase. Visit https://nuclearn.ai/our-product/equipment-ai/ for more information about Equipment AI or to request a demo.

About Nuclearn

Nuclearn is an AI solutions company built by nuclear professionals, for nuclear professionals. Founded in 2021 by industry veterans Brad Fox and Jerrold Vincent, the company develops secure, on-premise, Part 810–compliant AI platforms designed specifically for the nuclear sector.

Utilities face documentation-heavy processes, complex compliance requirements, and rising workforce challenges. Nuclearn’s flagship solutions, including AtomAssist, CAP AI, Engineering AI, and Performance Improvement AI, address these needs by reducing repetitive tasks, improving accuracy, and strengthening regulatory confidence. Each solution is trained on nuclear-specific data, purpose-built to integrate with existing systems such as Maximo and SAP, and equipped with features for traceability, auditability, and safety-conscious decision support.

Headquartered in Phoenix, Arizona, Nuclearn already supports utilities across the U.S., Canada, and the U.K., with deployments live at dozens of reactors. Learn more at www.nuclearn.ai.

Media Contacts

Nuclearn
Brian Critchfield
Vice President of Marketing
brian@nuclearn.ai

Demarco Strategy Group for Nuclearn:
Karen DeMarco
karen@demarcostrategygroup.com

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SOURCE Nuclearn.ai

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Bold Security Extends Endpoint Data Protection to Every AI Interaction

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Bold introduces new layer of endpoint protection, securing data as it moves to copilots, agents, and the tools employees use every day.

NEW YORK, July 30, 2026 /PRNewswire/ — Bold Security today announced a new layer of data protection covering the full range of AI interactions on the endpoint: from prompts and clipboard activity in web-based copilots to file access, MCP payloads, and commands issued by autonomous agents. This announcement extends Bold’s on-device data protection across these AI workflows, giving security teams control at a layer they’ve never been able to fully see.

The endpoint has become the primary place where sensitive data is exposed to AI—and one of the fastest-growing sources of enterprise data risk. According to the Cloud Security Alliance, 65% of enterprises reported an AI-related incident in the past year, and 61% of those incidents involved data exposure. Nearly every one of these interactions touches the endpoint. It’s where data, users, and AI converge—and the one layer network and cloud tools can’t reach. Desktop AI apps can bypass the proxy entirely, while agents communicate and extract data through channels like desktop applications and the command line. DLP was never built to solve that.

“For years, endpoint data exposure was an accepted compromise. Security teams relied on DLP to protect what they could, knowing there were blind spots they couldn’t easily close,” said Nati Hazut, Co-Founder and CEO of Bold. “AI turned those blind spots into one of the biggest challenges enterprises face, because the data organizations care about most now moves through entirely new interactions.”

That gap is what Bold closes. Seeing these interactions is only the start: governance tools can flag that someone used an AI tool, but not what data was involved or whether it was a risk. That takes understanding the data itself, and the context around it: who’s acting, where it’s going, how sensitive it is. The same upload can be routine or a serious risk depending on all of it. That distinction is what Bold makes, on the device, in real time.

Bold now protects every AI interaction on the endpoint:

Web-based AI: prompts, clipboard, and uploads into copilots and chat tools, tied to the account being used.Desktop AI apps: clipboard, uploads, local file access, and the payloads passed through MCP.AI agents and CLI: full sessions, local and remote MCP, and the commands agents run on a user’s behalf.

Bold’s on-device AI monitors and analyzes every one of these interactions locally, in real time, keeping productive AI use flowing and stopping risky activity, without data ever leaving the endpoint.

Bold’s new AI data protection layer is in private preview. Read more about it on our blog and see it in action next week at Black Hat, booth #2970.

About Bold
Bold is real-time data security for the modern endpoint. Bold runs AI directly on the device to classify data by meaning, understand how people and AI interact with it, and prevent sensitive data from leaving in real time. Bold classifies any data, no regex required, and its decisions reflect the account, the destination, and the sensitivity of the data involved. Raw data stays on the endpoint. The result: protection against real risk without slowing people down. Companies like Tekion, eCapital, HiBob, and Cresta trust Bold. Bold can be reached at info@bold.security.

Contact:
Ignacio Ramirez
ignacio@switchpr.com
1-415-517-6708

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SOURCE Bold Security

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Balance Point Announces its Investment in ShipSigma

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WESTPORT, Conn., July 30, 2026 /PRNewswire/ — Balance Point Capital Advisors, LLC (“Balance Point”), in conjunction with its affiliated funds, is pleased to announce its investment in ShipSigma (the “Company”). Balance Point provided debt and equity capital to facilitate Inverness Graham Investments’ (“IGI”) recapitalization of the Company.

Founded in 2018, ShipSigma has become a leading parcel and supply-chain optimization partner for small and medium-sized enterprises. Powered by more than 20 billion parcel and less-than-truckload data points, ShipSigma analyzes each customer’s shipping profile to identify and execute opportunities for greater efficiency and savings. The Company combines proprietary cost modeling with carrier expertise to optimize contracts and automate invoice audits.

“Balance Point is thrilled to partner with ShipSigma and IGI on this transaction and support the Company’s next phase of growth” said Adam Sauerteig, Partner at Balance Point. “We believe ShipSigma provides immediately quantifiable and impactful savings for customers in a complex and ever-changing parcel shipping ecosystem, and we look forward to supporting the Company’s expansion.”

“Balance Point continues to be a value-added partner to Inverness Graham,” said IGI Principal Ryan Geary. “ShipSigma represents the fourth executed investment with Balance Point over the past few years; we appreciate their strong support for our investment approach, and we look forward to continuing to find ways to work with Balance Point in the future.”

About Balance Point

Balance Point is an alternative investment manager focused on the lower middle market. With approximately $2.4 billion in assets under management, Balance Point invests debt and equity capital in select lower middle market companies across a variety of investment vehicles. Balance Point takes a long-term, partnership approach to investing and is committed to building lasting relationships with its partners, management teams and intermediaries. Balance Point is a registered investment advisor. Further information is available at www.balancepointcapital.com.

About ShipSigma

ShipSigma is a tech-enabled parcel spend management platform serving middle-market shippers. The Company uses proprietary analytics and carrier contract expertise to offer a white glove service that helps businesses negotiate better contracts with shippers, monitor ongoing contract compliance, and audit invoices. To learn more, visit www.shipsigma.com.

About Inverness Graham

Inverness Graham is a Philadelphia-based, operationally focused private investment firm that partners with innovative, high-growth businesses where technology is transforming traditional industry. With more than $1.8 billion in assets under management, Inverness Graham brings institutional-scale capabilities to the North American lower middle market while maintaining a focused partnership approach with founders and management teams. To learn more, visit www.invernessgraham.com 

Adam H. Sauerteig
Office: 203-652-8555
asauerteig@balancepointcapital.com

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SOURCE Balance Point Capital

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Harness Announces Its Agentic Security Integration with Google Cloud’s Apigee API Management Tool

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Integration gives Apigee customers real-time discovery, runtime protection, and full observability for agentic AI

SAN FRANCISCO, July 30, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, today announced it has integrated capabilities with Google Cloud’s Apigee, a platform for API development and management, to help customers discover and protect agents, AI services, tools, and MCP workflows.

Blindly applying traditional AppSec to agent development doesn’t work. The assumptions don’t hold, the tools don’t reach, and the attack surface keeps evolving and expanding. What’s needed isn’t a patch on existing practice; it’s a purpose-built approach that secures agents at every stage of how they’re actually built and run. And it’s critical that companies protect agents at the speed at which they’re being built.

74% of developers see security as a blocker to AI innovation, according to The Harness State of AI-Native Application Security 2025 report. In turn, 62% of security respondents said developers weren’t taking responsibility for securing AI-native apps like agents. The Harness and Apigee integration helps organizations put security and developers on the same team – innovating at machine speed while keeping their agents, AI services, and MCP workflows secure.

“Organizations are innovating with agents at breakneck speed,” said Rahul Sood, GM of Application Security at Harness. “As they innovate and adopt new capabilities, they are forcing security teams to keep pace. This integration allows customers building on Apigee to seamlessly detect and protect agents as they are being deployed so developers can innovate confidently.”

Harness has long collaborated with Google Cloud, from bringing AI into software delivery to unifying AI intelligence across the delivery lifecycle. That work earned Harness recognition as the 2026 Google Cloud Technology Partner of the Year for DevOps and now extends beyond DevOps and into application security for AI agents.

The new integration brings intelligence provided by Harness AI Security directly into the API control layer. Enterprises can discover, monitor, and protect all of their agentic assets: every agent, AI asset, tool, LLM-powered service, and MCP-connected workflow that traverses it.

Security That Speeds Innovation Instead of Slowing It Down

As enterprises deploy AI agents and LLM powered applications, Google Cloud’s Apigee increasingly sits on the path between users, applications, models, tools, and backend APIs. By adding Harness AI and agent security intelligence into this API control layer, customers can extend their existing API security architecture to new AI interaction patterns without creating a separate operational model. This integrated approach allows security to automatically discover agents and other AI assets as they’re being deployed, closing the gap between development, deployment, and security.

“Securing AI agents and emerging technologies requires a paradigm shift in how we think about enterprise protection,” said Ritika Suri, Managing Director, AI & Data ISV Partnerships, Google Cloud. “Through our collaboration with Harness, we are bringing robust, agent-aware security to our joint customers without compromising on the agility to deliver solutions that help organizations innovate with confidence.”

Harness’s agentic security integration with Google Cloud’s Apigee provides organizations with:

Agent and AI Discovery: Harness automatically inventories every AI asset, MCP server, tool, prompt and resource traversing Apigee. Agent discovery also goes beyond individual AI assets by introducing an agent SPM capability that continuously surfaces agents as they spin up, maps how AI assets connect and chain, and assesses their posture across the organization.AI Firewall protects agents and all AI assets at runtime, enforcing policy continuously against suspicious agent-to-agent communication, prompt injection, tool misuse, and data exfiltration through agentic chains – after the agent is live and as long as it runs.AgentTrace brings observability throughout the entire agent activity session, providing a full audit trail across prompts, reasoning, tool calls, and outputs. This is especially important for agentic operations to have confidence that the non-deterministic systems are acting as expected.

With reduced blind spots, faster incident investigation, and trace-level context across API and AI integrations, enterprises can innovate confidently and at the speed they need.

Availability

The Harness and Apigee integration is generally available today for all joint customers. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

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SOURCE Harness

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