Connect with us
DAPA Banner

Tech

AI analytics agents need guardrails, not more model size

Published

on

Picture a VP of finance at a large retailer. She asks the company’s new AI analytics agent a simple question: “What was our revenue last quarter?” The answer comes back in seconds.

Confident.

Clean.

Wrong.

Advertisement

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

That exact scenario happens more frequently than many organizations would care to admit. AtScale, which enables organizations to deploy governed analytics environments and semantic consistency, has found that simply increasing model parameterization alone cannot address the AI governance and context issues enterprises face.

When AI systems query inconsistent or ungoverned data, adding more model complexity doesn’t contain the problem, it compounds it. Organizations across industries have acted quickly to develop agentic AI, deploying systems that analyze data, generate insights, and trigger automated workflows. In response to this trend, the AI models have adapted to react quickly via larger model parameters, increased computing power, and additional features. The underlying assumption has been that as long as the model gets large enough, the eventual result will be reliable.

Advertisement

However, there are indications that this assumption may not hold up. Recent TDWI research found that nearly half of respondents characterized their AI governance initiatives as either immature or very immature. This may have more to do with data lineage and the business definitions on which these models are based than with the models’ capabilities.

Why bigger models don’t solve governance

The AI industry tends to operate on an unexamined assumption about what drives better performance: as we build more advanced models, they will somehow self-correct their performance errors. In enterprise analytics, that assumption can fall apart quickly.

While scale may improve the breadth of reasoning in a model, it doesn’t automatically enforce which definition of gross margin the business has agreed to use. It doesn’t resolve metric inconsistencies that have lived in separate dashboards for years. And it also doesn’t produce traceable lineage on its own.

Governance problems don’t resolve at scale. Business rules buried in individual tools, inconsistent definitions across teams, and outputs with no audit trail are structural issues, and a larger model doesn’t fix structure. It just produces unreliable answers more fluently.

Advertisement

At AtScale, there’s a consistent theme among our clients: When inconsistent data definitions followed organizations into their AI layer, the problems didn’t stop there. They propagated forward, typically at greater speed and with less transparency than the previous layer had offered.

Performance and responsibility are separate jobs. A model reasons. A governance layer defines what the model reasons over, constrains how it applies business logic, and ensures outputs can be traced back to a source of record. One cannot substitute for the other.

The real risk: Unconstrained agents in enterprise environments

The problem with AI agents is seldom the model itself. It’s what the model is working with, and if anyone can see what it did.

With common context, AI agents might read data differently on different systems. In large enterprises, even small differences in definitions can lead to different results. Structural risks typically stem from four main causes:

Advertisement
  • Agents pull from sources where the same metric can mean different things to different teams, making data definitions less clear.
  • Metrics from different departments that don’t agree – two agents give two answers, but it’s not clear which one is right.
  • Unclear reasoning produces outputs without a clear lineage as to how a decision was made.
  • Audit gaps: When outputs can’t be traced back to a governed source of record, there’s no reliable way to catch errors, assign accountability, or course-correct.

These are not signs that AI is not working. They show that the infrastructure around AI hasn’t kept up.

What guardrails actually mean in AI analytics

Guardrails are often viewed as a limitation. However, in many cases, guardrails are the very conditions that permit AI agents to operate with greater confidence.

Guardrails can help align AI-generated outputs with established business logic. They also create a structure in which autonomous agents can operate; this way, as autonomy increases, so does reliability. In analytics, guardrails typically exist in several specific formats:

  • Shared data definitions: A single definition of terms such as revenue, churn, or margin that are shared across all systems.
  • Business logic constraints: Rules governing how calculations are to be performed, regardless of the tools or agents performing those calculations.
  • Lineage visibility: The capability to identify where any output originated from.
  • Access controls: Defined permissions determining what data an agent can query.
  • Standardization of metrics: Consistent definitions applicable across departments and platforms.

The intention isn’t to impede AI’s performance. It’s to offer AI a base upon which it can stand.

The role of the semantic layer as a constraint framework

A semantic layer sits between data and the applications and AI agents that use it, defining business concepts, implementing logical processes, and providing a common framework of terms for all applications and AI agents to draw upon.

A semantic layer does not manipulate or duplicate data; it defines what the data represents. By asking questions of a governed semantic layer rather than the base table, AI agents can generate output based on business-defined logic, rather than on inference. The distinction of this output becomes particularly important when multiple AI agents across multiple systems must produce similar outputs.

Advertisement

From AtScale’s perspective, the semantic layer serves as a context boundary that can help ensure AI agents interpret data according to shared business definitions. The semantic layer is more analogous to a common language, as opposed to a guardrail, that ensures all systems operate with a common understanding.

Governance is an architectural question, not a model question

Enterprise organizations realize that AI governance is less about building the largest model and more about making an environment where the chosen model can work well. A well-designed and governed architecture (with shared definitions for concepts, traceable logic, and a shared context across all systems) will likely deliver better, more reliable results than a larger model running in an uncontrolled data environment.

Scaling models without improving semantic clarity tends to add complexity, not reduce it. As each additional tool, system, or workflow is added to an uncontrolled environment, the opportunities for divergence increase.

In this sense, responsible AI is an infrastructure challenge. Organizations with successful AI deployments treat the meaning of their data as a design decision,before the model is even chosen.

Advertisement

Economic and operational implications

Governance gaps do not stay abstract for long. They tend to show up in the budget.

Ambiguity in data meaning may increase operational friction, agents that produce inconsistent outputs require human review, reconciliation cycles, and rework that compounds across teams and tools. When lineage is not clear, audits cost more. Retrofitting controls after deployment typically costs more than building the right architecture from the start.

In complex enterprise settings, costs can show up in predictable ways: redundant validation when outputs don’t match across systems, excess compute triggered by unclear queries, and slower analysis as teams pause to figure out which answer is actually reliable. Clear semantic constraints can mean fewer validation cycles, and that operational value is becoming easier to measure.

The path forward: Constrained autonomy

AI agents aren’t a future consideration, they’re already in use. What’s still catching up is the infrastructure around them. Agents without clear context and constraints tend to operate beyond what the organization can actually govern. That gap doesn’t close on its own.

Advertisement

The differentiator in enterprise AI, AtScale contends, won’t be model scale, it will be the clarity of the environment models operate in. As agents become more common in business workflows, how well the semantic layer is defined may matter more than how large the model is.

This shift toward governed context and constrained autonomy is explored in more detail in AtScale’s 2026 State of the Semantic Layer report, which examines how open standards, interoperability, and semantic governance are shaping the next phase of enterprise intelligence.

Source link

Advertisement
Continue Reading
Click to comment

You must be logged in to post a comment Login

Leave a Reply

Tech

Google finally bringing Gemini app to Mac after Apple partnership

Published

on

As everyone waits for the new Apple Foundation Models trained by Gemini, Google is pushing ahead on bringing a native Gemini app to the Mac. It’ll be similar to those offered by Anthropic and OpenAI.

A MacBook Neo sitting on a bar top open, citrus color, with the Google Gemini logo shown on screen
Macs could finally get a Gemini app

Apple and Google have always been uneasy partners. Google Maps predated Apple Maps on iPhone, and Google is always slow to adopt new Apple APIs in its apps.
Some of that has shifted in Apple’s favor since the Gemini partnership was announced. First, a native YouTube app was finally released on Apple Vision Pro, and now Gemini is getting a native app on Mac.
Continue Reading on AppleInsider | Discuss on our Forums

Source link

Continue Reading

Tech

Six women to follow in the vibrant engineering space

Published

on

If you aspire to a career in engineering then make sure you are keeping an eye on the professional lives of these six women.

During the month of March, SiliconRepublic.com is paying particular attention to careers and skills in the engineering space, and what better way to continue that coverage than with an exploration of some of the most exciting women in this field.

The following engineers have contributed greatly to their industries, through their work, discoveries, builds, and advocacy for themselves and others. 

Áine Brazil

A managing principal at structural engineering company Thornton Tomasetti, Salthill’s Áine Brazil holds a bachelor’s degree in engineering from the University of Galway and a master’s degree in engineering from the Imperial College of Science and Technology in London. She was the first president of the Structural Engineers Association of New York and is a member of the American Concrete Institute, the American Society of Civil Engineers and the Institute of Engineers in Ireland. 

Advertisement

In her 30-plus-year career she has overseen several crucial projects; for example, she led the structural engineering team for the design of more than 3m square feet of high-rise office development in the Times Square area, as well as the expansion of New York Hospital spanning the FDR highway, the 60-storey 731 Lexington Avenue mixed-use project, and the Nationwide Arena in Columbus, Ohio.

She has been included on the list ‘New York’s 100 Most Influential Women in Business’, by Crain’s New York Business, and has authored numerous technical papers and lectured at universities throughout the US including Cornell, Princeton, and Columbia. 

Justine Butler

A chemical engineer with more than 18 years of experience in the pharmaceutical space, Justine Butler is currently the director of engineering at Jacobs Life Sciences for Ireland, the UK and the Nordic region. She has significant experience in leading teams and is responsible for the engineering design of a wide-ranging project portfolio. 

She is the first woman to hold this position at the organisation and is also among its youngest people working in a leadership capacity in her region. Butler was also the first young engineer to serve on Engineers Ireland’s council and executive committee after first chairing its young engineers committee. In 2024, she was honoured with the ‘Women in STEM – Engineering’ award, given by Engineers Ireland. 

Advertisement

Dervilla Mitchell

A former deputy chair of Arup Group, Dervilla Mitchell is a civil engineer with a background in the design of the built environment. She has led a number of major projects, including the Athletes’ Village for the London 2012 Olympics, Terminal 5 at Heathrow airport, Dublin airport’s Terminal 2, and Abu Dhabi airport’s Midfield Terminal. She is the co-chair of the Royal Academy of Engineering and also chairs the UK’s National Engineering Policy Centre’s decarbonisation group. 

Georgina Molloy

A programme manager for energy performance at the Sustainable Energy Authority of Ireland (SEAI), Georgina Molloy is also the chair of the Engineers Ireland Women in Engineering group. As part of her role there, Molloy chairs a committee of 12 engineers with the aim of achieving better gender balance and supporting women who have chosen a career in the engineering space.

She is a chartered structural engineer with more than 20 years of experience working in consulting engineering practices large and small, and has spent a considerable portion of that time in scaffold and temporary works design and construction. Molloy is particularly passionate about working on refurbishment projects and enjoys being part of teams that bring old builds of historical importance back to life.

Norah Patten

Set to be the first Irish person in space, Norah Patten is an aerospace engineer and bioastronautics researcher at the International Institute for Astronautical Sciences (IIAS). She has received multiple recognitions for her contributions to the industry, such as a 2015 ’emerging space leader’ award, an appearance in Limerick’s ‘top 40 under 40’ for 2018, and an IIAS ‘science educator’ accolade, among others.

Advertisement

She is a regular keynote speaker, an author and an advocate for other women in the industry. Later in the year, Patten will join Kellie Gerardi of the US and Dr Shawna Pandya of Canada as crew members aboard Virgin Galactic’s new Delta vehicle for a space mission organised by the US-based IIAS.

Anisa Pjetri

A former senior structural engineer and project manager at AtkinsRéalis, Anisa Pjetri is now an associate director at the company. She earned a BSc in civil engineering in Albania and an MSc in structural engineering in London before relocating to Ireland, where she earned a chartership from Engineers Ireland and took up a position at AtkinsRéalis.

Pjetri has 12 years of international expertise in designing, planning and overseeing the construction of a wide variety of buildings, structures and infrastructure for residential, commercial, medical, industrial and hospitality projects. In 2025, she was a finalist for the Chartered Engineer of the Year award. 

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

Advertisement

Source link

Continue Reading

Tech

GeekWire Awards: Billion-dollar deals, rare IPO, pharma pact, and mega-round vie for Deal of the Year

Published

on

The finalists for Deal of the Year at the 2026 GeekWire Awards. Clockwise from top left: Temporal co-founders Samar Abbas and Maxim Fateev; Protect AI co-founders Badar Ahmed, Daryan Dehghanpisheh, and Ian Swanson; Kestra Medical Technologies’ cardiac monitoring device; the ribbon cutting at OpenAI’s new Bellevue office, home to the former Statsig team; an Omeros lab. (GeekWire / Company Photos)

The finalists for Deal of the Year at the 2026 GeekWire Awards include two major acquisitions, a landmark licensing deal, a big funding round, and a rare IPO — collectively representing billions of dollars in transactions.

This award, presented by Wilson Sonsini, recognizes the transactions that made the biggest impact in tech and innovation in Seattle and the Pacific Northwest. The Deal of the Year finalists this year are Kestra Medical Technologies, Omeros, Protect AI, Statsig, and Temporal.

Now in its 18th year, the GeekWire Awards is the premier event recognizing the top leaders, companies and breakthroughs in Pacific Northwest tech, bringing together hundreds of people to celebrate innovation and the entrepreneurial spirit. It takes place May 7 at the Showbox SoDo in Seattle.

Seattle startup Lexion was the Deal of the Year winner last year after being acquired by Docusign for $165 million, a successful exit for the AI-powered contract management company, which got its start in 2018 at the Allen Institute for AI in Seattle.

Continue reading for information on Deal of the Year finalists, who were chosen by a panel of independent judges from community nominations. You can help pick the winner: Cast your ballot here or in the embedded form at the bottom. Voting runs through April 10.

Statsig was acquired by OpenAI for $1.1 billion in an all-stock deal announced in September, in a surprise exit for the Bellevue, Wash.-based product experimentation platform. The deal also landed Statsig CEO Vijaye Raji, a former Facebook engineering leader, in the newly created role of CTO of Applications at OpenAI. 

Advertisement

Founded in 2021, Statsig powers A/B testing, feature flagging, and real-time decisioning for major companies. It had raised more than $153 million, including a $100 million Series C round at a $1.1 billion valuation just months before the acquisition, with backing from Sequoia and Madrona. Statsig now forms the nucleus of OpenAI’s new Bellevue engineering office.

Kestra Medical Technologies raised $202 million in its IPO in March 2025, pricing shares above the expected range in a strong debut for the Kirkland, Wash.-based maker of wearable cardiac devices. Shares began trading on the Nasdaq at more than 30% above the IPO price. 

Founded in 2014, Kestra makes devices that detect and respond to sudden cardiac arrest. Its IPO marked the end of a long dry stretch with no traditional IPOs for Seattle-area tech companies since 2021.

Omeros Corporation, a Seattle-based clinical-stage biopharmaceutical company, struck a deal worth up to $2.1 billion with pharmaceutical giant Novo Nordisk for zaltenibart, its clinical-stage drug candidate in development for rare blood and kidney disorders. Announced in October, the agreement gives Novo Nordisk exclusive global rights to develop and commercialize the drug. 

Advertisement

Founded in 1994 by orthopedic surgeon Gregory A. Demopulos, who still serves as CEO, Omeros went public in 2009 and recently received FDA approval for its lead drug Yartemlea, the first therapy for a rare post-transplant complication.

Protect AI, a Seattle startup that helps companies secure machine learning systems, agreed to be acquired by cybersecurity giant Palo Alto Networks in a deal announced in April. Terms were not disclosed, but sources familiar with the deal said it was valued north of $500 million. 

Founded in 2022 by former engineering leaders at Amazon and Oracle, Protect AI serves Fortune 500 companies across finance, healthcare, and government. Palo Alto Networks said the deal will bolster its ability to secure the new attack surfaces created by AI.

Temporal raised $300 million in a Series D round at a $5 billion valuation in February, doubling its valuation from just months earlier. The Bellevue, Wash.-based company builds open-source software and a cloud service that helps companies run complex workflows reliably — what it calls “durable execution.” The rise of AI agents has amplified demand for its platform, with customers including OpenAI, ADP, and Block. 

Advertisement

Founded in 2019 by co-founders Samar Abbas and Maxim Fateev, who previously built an internal orchestration engine at Uber, Temporal has raised $650 million to date, with backing from Andreessen Horowitz, Sequoia, and Madrona.

Astound Business Solutions is the presenting sponsor of the 2026 GeekWire Awards. Thanks also to gold sponsors Amazon Sustainability, BairdBECU, JLLFirst Tech and Wilson Sonsini, and silver sponsors Prime Team Partners.

The event will feature a VIP reception, sit-down dinner and fun entertainment mixed in. Tickets go fast. A limited number of half-table and full-table sponsorships available. Contact events@geekwire.com to reserve a spot for your team today.

(function(t,e,s,n){var o,a,c;t.SMCX=t.SMCX||[],e.getElementById(n)||(o=e.getElementsByTagName(s),a=o[o.length-1],c=e.createElement(s),c.type=”text/javascript”,c.async=!0,c.id=n,c.src=”https://widget.surveymonkey.com/collect/website/js/tRaiETqnLgj758hTBazgd5M58tggxeII7bOlSeQcq8A_2FgMSV6oauwlPEL4WBj_2Fnb.js”,a.parentNode.insertBefore(c,a))})(window,document,”script”,”smcx-sdk”); Create your own user feedback survey

Advertisement

Source link

Continue Reading

Tech

Sketchy iPhone Fold launch timing shared by analyst with shaky history

Published

on

An analyst at Barclays believes that if the iPhone Fold launches in 2026, it will be in December, months after the iPhone 18 Pro. He’s the only one saying this.

An iPhone Fold render showing the device open, dual back cameras visible, on a table by a cute cat lamp
iPhone Fold could launch in December

Many rumors point to the iPhone Fold launching in late 2026 alongside the iPhone 18 Pro, though no parts have leaked yet. It will be an incredibly expensive device and Apple’s first attempt at a foldable.
A note from Barclays analyst Tim Long, viewed by MacRumors suggests the iPhone Fold will release in December 2026. He offers no detail as to why it would come out three months after its announcement other than supply chain sources.
Rumor Score: 🙄 Unlikely
Continue Reading on AppleInsider | Discuss on our Forums

Source link

Continue Reading

Tech

Tyndall’s Peter O’Brien awarded for contributions to chip sector

Published

on

Peter O’Brien has received the 2025 Semi European Award, which recognises those who have had an impact on global semiconductor innovation.

Tyndall National Institute’s photonics expert Prof Peter O’Brien has been honoured by the global semiconductor industry for his work in the sector.

O’Brien is the head of research for photonics packaging and systems integration at the University College Cork-based deep-tech institute. He has received the 2025 Semi European Award, which recognises leaders whose work has had a significant impact in global semiconductor innovation.

Semi is a global industry association representing companies and research organisations across the semiconductor and electronics development and manufacturing supply chain.

Advertisement

O’Brien has been recognised for his contributions to photonics electronic packaging, his leadership in Europe’s semiconductor pilot lines, and his work in developing specialised training programmes for up-and-coming researchers in the field.

“It is a great honour to receive the Semi European Award for 2025,” said O’Brien. “Through this award, I would like to recognise my many collaborators around the world. Working together, we accelerate research and development, turning early ideas into impactful breakthroughs.”

Prof William Scanlon, the CEO of Tyndall, added: “Prof O’Brien’s leadership and vision have placed Tyndall at the forefront of advanced packaging globally, and his contributions are shaping Europe’s semiconductor future.”

Meanwhile, Eric Beyne, a senior fellow at the Belgium-based nanoelectronics and digital tech research and innovation hub IMEC, received the Special Service Award at the ceremony earlier this month for his contributions to high-density interconnection and packaging technologies, and helping advance next-gen semiconductor integration techniques.

Advertisement

“We are honoured to recognise Peter O’Brien and Eric Beyne for their outstanding contributions to advancing semiconductor innovation and strengthening Europe’s technology ecosystem,” said Semi Europe president Laith Altimime.

“Their leadership and vision have helped drive transformative progress across the industry while inspiring the next generation of engineers and researchers, reflecting the spirit of collaboration and innovation that continues to propel the semiconductor industry toward a more resilient, digital and sustainable future.”

Tyndall has made several major announcements this year. The Cork-based research institute recently announced a €100m expansion project.

It is also co-ordinating I-C3, Ireland’s National Competence Centre in Semiconductors, leading Ireland in a major €50m European initiative called Photonics for Quantum, and supporting a new €2.5bn pilot line to develop EU’s semiconductor leadership.

Advertisement

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

Source link

Advertisement
Continue Reading

Tech

DoorDash will start paying gig workers for creating content to train AI models

Published

on

DoorDash has launched a new option for its gig economy workers to earn some extra cash. The delivery service introduced Tasks, which it describes as “short activities Dashers can complete between deliveries or in their own time.” It gives taking pictures of restaurant dishes or recording video of unscripted conversations in languages other than English as examples. These materials will be used to train artificial intelligence and robotics models.

A representative from DoorDash told Bloomberg News that it will use Tasks content for evaluating its in-house AI models as well as those made by its partner companies in retail, insurance, hospitality and tech. DoorDash is piloting a standalone app for Tasks where Dashers will submit their content. The blog post notes that pay will be displayed upfront, and compensation will vary based on the complexity of the activity.

This idea isn’t new. We’ve seen other startups in AI and robotics offering payment for content filmed by regular people. Considering how many lawsuits are underway against AI companies that have already benefited from unauthorized use of copyrighted materials, at least this approach lets people be directly compensated for training content.

Source link

Advertisement
Continue Reading

Tech

Look at What Mattel’s Cooking Up: New Castle Grayskull Bricks, Naruto Hot Wheels, Monster High Skeletor

Published

on

Searching for a reason to buy collectors’ editions of Mattel products? With the toy drops unveiled during Mattel Creations Revealed event Thursday, you may be able to make a case for yourself. Homing in on fandoms ranging from anime to Barbie to Monster High, the company shared a fresh lineup of releases. Masters of the Universe fans: lock in.

You can stack Mattel Bricks to create Eternia’s legendary Castle Grayskull with a new set (pictured above) that’s the first of its kind for the toy giant. Get into your display — or play — with Masters of the Universe Nano figures depicting characters like He-Man, Evil-Lyn, Skeletor, Battle Cat and Teela. Available in the Brick Shop starting April 25, the set will retail for $65. For fans who want a bit of extra nostalgia, you can also buy the light-up Laser Power He-Man figure for $30 to add to your display.

Mattel has been on somewhat of a roll with its Monster High Skullector series, with doll collabs that feature iconic movie and TV favorites like Coraline, Wednesday and Morticia, Pennywise and Alien. Skeletor has been added to the collection and is quite the baddie. Just check out the outfit, high-heeled boots and signature smirk. Her staff speaks as well, but I won’t spoil it by telling you the catchphrase. The price? $65.

Advertisement
Mattel Monster High Skeletor

Will you be adding this version of Skeletor to your Monster High collection?

Mattel/Jeff Hazelwood/CNET

If the He-Man franchise isn’t for you, maybe you’ll be into the drop for Naruto. Burn up a Hot Wheels track with the Nissan Silvia S15 model that carries Naruto emblazoned on both sides. Making its debut as part of a partnership between Mattel and anime franchises, the car is priced at $25.

Advertisement
Hot Wheels Gold Nissan Car

Naruto fans, this one is made for you.

Mattel/Jeff Hazelwood/CNET

We’ve seen Barbie go couture in the past, and Mattel has just revealed its atelier design that takes handcrafted fashion up a notch. The new poseable Grand Couture Silkstone Barbie doll retails for $342, stands at 14.5 inches and wears a ruffled coat (with a train) with a shimmery embroidered dress underneath. Drop earrings and pink boots complete the high-end look.

Not to be sidelined at today’s event, Ken was spotlighted with the release of his own Uno card deck that features a variety of, well, Kens. Celebrate his 65th anniversary with the $13 deck, and you can decide if you’ve had Ken-ough of draw fours and skips.

Advertisement
mattel barbie grand couture doll in fancy dress and Ken doll uno deck

New Barbie and Ken products revealed today, including a celebratory Ken Uno deck.

Mattel/Jeff Hazelwood/CNET

One of the other pop culture moments — and figures — commemorated with a toy reveal today came in the form of WWE star Stone Cold Steve Austin. He’s been immortalized as a Mattel action figure that captures when he coined his 3:16 catchphrase 30 years ago, with the Elite Collection addition coming equipped with a crown, table and throne. Get it for your WWE collection for $30.

Advertisement

Source link

Continue Reading

Tech

Navia discloses data breach impacting 2.7 million people

Published

on

Navia discloses data breach impacting 2.7 million people

Navia Benefit Solutions, Inc. (Navia) is informing nearly 2.7 million individuals of a data breach that exposed their sensitive information to attackers.

An investigation into the incident revealed that the hackers had access to the organization’s systems between December 22, 2025, and January 15, 2026. However, the company discovered the suspicious activity on January 23.

Navia says that it responded immediately and launched an inquiry to determine the potential impact of the incident.

“The investigation determined that an unauthorized actor accessed and acquired certain information between December 22, 2025, and January 15, 2026,” the company says in the notification to impacted individuals.

Advertisement

Navia is a consumer-focused administrator of benefits that provides services to more than 10,000 employers across the U.S.

The company provides software and customer services for the administration of Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), Health Reimbursement Arrangements (HRA), Commuter Benefits and COBRA Services.

It also helps handle commuter benefits, lifestyle accounts, education benefits, compliance/risk services, and retirement-related offerings.

According to the company, the investigation into the breach revealed that the hacker accessed and may have exfiltrated the following types of data:

Advertisement
  • Full name
  • Date of birth
  • Social Security Number (SSN)
  • Phone number
  • Email address
  • Participation in HRA (Health Reimbursement Arrangements)
  • FSA (Flexible Spending Accounts) information
  • Consolidated Omnibus Budget Reconciliation Act (COBRA) enrollment information

Navia underlines that the data breach did not expose details about claims or financial information. Nevertheless, the exposed data is enough for threat actors to deploy phishing and social engineering attacks aimed at affected individuals.

The company states that it has reviewed its security posture and data retention policies to identify potential weaknesses that can be improved, and has notified federal law enforcement about the incident.

Customers whose information was exposed will be covered by a free 12-month identity protection and credit monitoring service from Kroll. Letter recipients are also encouraged to consider placing a fraud alert and security freeze on their credit files.

At the time of writing, no ransomware group has claimed the Navia data breach.

Malware is getting smarter. The Red Report 2026 reveals how new threats use math to detect sandboxes and hide in plain sight.

Download our analysis of 1.1 million malicious samples to uncover the top 10 techniques and see if your security stack is blinded.

Advertisement

Source link

Continue Reading

Tech

Reading The World’s Smallest Hard Drive

Published

on

You have a tiny twenty-year-old hard drive with a weird interface. How do you read it? If you’re [Will Whang], by reverse engineering, and building an interface board.

In many of our portable, mobile, and desktop computers, we’re used to solid-state storage. It’s fast and low power, and current supply-chain price hikes notwithstanding, affordable in the grand scheme of things. It wasn’t always this way though, a couple of decades ago a large flash drive was prohibitively expensive. Hard drive manufacturers did their best to fill the gap with tiny spinning-rust storage devices which led to the smallest of them all: the Toshiba MK4001MTD. It crammed 4 GB onto a 0.85″ platter, and could be found in a few devices such as high-end Nokia phones.

Breaking out the Nokia’s hard drive interface.

The drive’s connector is a pattern of pads on a flexible PCB, one he couldn’t help noticing had a striking resemblance to an obscure SD card variant. Hooking it up to an SD reader didn’t work unfortunately, so a battered Nokia was called into service. It was found to be using something electrically similar to the SD cards, but with the ATA protocol familiar from the world of full-size hard drives.

The interface uses the PIO capability of the RP2040, and the board makes a tidy peripheral in itself. We’re guessing not many of you have one of these drives, but perhaps if you do, those early 2000s phone pics aren’t lost for good after all.

Advertisement

These drives are rare enough that this is the first time we’ve featured one here at Hackaday, but we’ve certainly ventured into hard drive technology before.

Source link

Advertisement
Continue Reading

Tech

Retro Weather Display Acts Like It’s Windows 95

Published

on

Sometimes you really need to know what the weather is doing, but you don’t want to look at your phone. For times like those, this neat weather display from [Jordan] might come in handy with its throwback retro vibe.

The build is based around the ESP32-2432S028—also known as the CYD, or Cheap Yellow Display, for the integrated 320 x 240 LCD screen. [Jordan] took this all-in-one device and wrapped it in an attractive 3D-printed housing in the shape of an old-school CRT monitor, just… teenier. A special lever mechanism was built in to the enclosure to allow front panel controls to activate the tactile buttons on the CYD board. The ESP32 is programmed to check Open-Meteo feeds for forecasts and current weather data, while also querying a webcam feed and satellite and radar JPEGs from available weather services. These are then displayed on screen in a way that largely resembles the Windows 95 UI design language, with pages for current conditions, future forecasts, wind speeds, and the like.

We’ve seen some fun weather displays over the years, from graphing types to the purely beautiful. If you’ve found a fun way to display the weather (or change it) don’t hesitate to notify the tipsline. Particularly in the latter case.

Advertisement

Source link

Advertisement
Continue Reading

Trending

Copyright © 2025