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AIQA Global Introduces AIQ DNA to Measure How AI Governance Performs When Risk Becomes Real

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New framework organizes 250 governance datapoints around Structural controls and three operational functions: Deter, Notify, and Act

AIQ DNA is an analytical framework from AIQA Global that groups AI governance controls into three functions — Deter, Notify, and Act — based on what each control does before, during, and after an incident.

CHICAGO, Sept. 3, 2026 /PRNewswire/ — AIQA Global, LLC., (AIQA), the first independent AI governance rating firm, today introduced AIQ DNA, an analytical framework that organizes the company’s 250-datapoint AI governance methodology around what each control does before, during and after an AI incident.

Global AI governance frameworks contain hundreds of requirements spanning policy, oversight, technical controls, monitoring and response. AIQ DNA reorganizes them around a different question: what does each control actually do when risk becomes operational?

AIQ DNA Three Functions

Within AIQA’s 250-datapoint reconciliation of the major frameworks, 46 datapoints describe structure — ownership, budget, board oversight and program maturity. The remaining 204 describe operating capability, grouped into three functions:

Deter — controls that reduce exposure before an event, including least privilege, access authority, pre-deployment review and procurement standards. 123 datapoints.Notify — controls that shorten the time a problem can run unrecognized, including monitoring, anomaly detection, logging and escalation. 41 datapoints.Act — controls that limit the loss once an event is underway, including incident response, rollback, recourse and remediation. 40 datapoints.

The distribution is instructive on its own. The methodology contains 123 datapoints addressing exposure before an event, against 41 for detection and 40 for response and recovery. Watch the AIQ DNA explainer video.

“When something goes wrong, a board wants pretty basic answers,” said James E. Malackowski, Co-Founder and Chairman of AIQA Global. “When did we know? What could the system reach? Who had the authority to stop it? Could we keep operating without it? Those aren’t policy questions. They’re questions about whether the controls actually work. AIQ DNA gives us a common way to look at those controls together.”

Industry Context

AIQ DNA arrives as industry attention shifts from statements of policy toward verified controls and measurable outcomes. In an August 27 open letter on collective cyber defense, OpenAI and more than one hundred signatories called on organizations to verify that security fixes work, and urged the technology industry to measure how quickly attacks are contained.

A day earlier, OpenAI published its technical report on the Hugging Face incident, in which internal research models circumvented isolation controls and reached third-party systems. The report states that OpenAI’s chain-of-thought monitoring was not running on the affected evaluations, and that had it been, it would have flagged the activity and alerted the security team more than a day before the models reached Hugging Face. It also states that the production safeguards applied to OpenAI’s deployed systems were not extended to that evaluation environment. OpenAI worked with external advisors including CrowdStrike to validate its understanding of the incident, and METR and Redwood Research conducted an independent investigation and published separately.

“The controls existed. They were not in scope for that environment,” Chase Malackowski, AIQA’s Co-Founder, Managing Director, and Chief Technology Officer said. “That is not a technology failure. It is a governance question — which controls apply where, who decided that, and whether anyone checked. Those questions tend to get answered after an incident when they should be answerable before one.”

AIQ DNA was developed by Maria Ross, AIQA’s Chief Operating Officer, who leads the company’s insurance segment.

“Underwriters do not price adjectives,” said Ross. “They price likelihood and consequence. Deter speaks to likelihood and exposure surface. Notify speaks to how long a problem can run before anyone understands it. Act speaks to containment time, severity and recovery. Those are observable characteristics of risk. Once controls can be observed consistently, insurers can begin testing whether they are predictive of loss.”

AIQA does not provide cybersecurity products or remediation services. Its role is to assess independently whether an organization’s AI governance controls are supported by evidence, have been implemented and, where appropriate, have been tested.

AIQ DNA does not create a separate rating. It is an additional view of the same 250 datapoints used in the AIQ™ Rating, allowing an organization to see the balance of its governance capability across Structural, Deter, Notify and Act.

About AIQA Global, LLC

AIQA Global, LLC is the first independent AI governance rating firm, providing enterprises, investors, insurers, and boards with a standardized, quantitative measure of AI governance quality. The company’s AIQ™ score quantifies enterprise AI governance quality across 250 data points and five dimensions. For more information, visit AIQA Global.

AIQ™ scores are based on disclosed and verified data and represent AIQA Global’s independent assessment of AI governance quality. Scores do not constitute regulatory compliance, legal advice, or investment advice. No assurance is provided regarding future performance, risk outcomes, or insurance eligibility. AIQ™ and AIQ™ Score are trademarks of AIQA Global, LLC. Copyright 2026 AIQA Global, LLC. All rights reserved.

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SOURCE AIQA Global, LLC

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Ally Waste Acquires Swift Integrated Services, Expanding Service Capabilities and Market Reach

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GILBERT, Ariz., Sept. 3, 2026 /PRNewswire/ — Ally Waste, a nationwide provider of comprehensive waste solutions for multifamily communities, announced today that it has acquired Swift Integrated Services, a Utah-based provider of dumpster management, doorstep trash pickup, and waste brokerage services.

“Every acquisition we make starts with the same question: Will it help us serve customers better? Swift expands our reach and brings capabilities that allow us to support more of our customers’ waste needs. We’re excited to welcome the Swift team to Ally and build on what they’ve created,” said James Crawley, CEO of Ally Waste.

The acquisition expands Ally Waste’s presence in Utah, Florida, and Idaho markets while strengthening the company’s waste stream optimization capabilities. It also brings waste brokerage capabilities to Ally, giving current customers another way to address their waste needs as the offering is integrated.

“Joining Ally gives us the opportunity to build on what we’ve created while bringing our customers the support and resources of a nationwide team,” said Indigo Schumann-Curtis, President of Swift Integrated Services. “Our customers can expect business as usual, with many of the same people continuing to support them. I’m excited about what our teams can accomplish together.”

Swift Integrated Services customers can expect continuity in both service and support throughout the transition. The Swift team will continue with Ally, bringing established customer relationships and deep market knowledge to the combined organization.

About Ally Waste

Ally Waste is a nationwide provider of comprehensive waste solutions for multifamily communities, including valet trash and recycling, bulk removal, and waste stream optimization services. Its technology gives owners and operators clear visibility into what they’re paying for waste across a portfolio, paired with on-the-ground teams who put those insights into action.

The company’s culture is grounded in its values of Integrity, Grit, and Humility. These principles drive Ally Waste’s commitment to supporting multifamily teams and delivering consistent, high-quality service that improves everyday life for residents and on-site staff. Learn more at www.allywaste.com.

Media Contact:
Doridé Uvaldo
duvaldo@allywaste.com

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SOURCE Ally Waste

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Gupshup Launches Self-Serve Voice AI Platform, Extending Conversational Engagement into Phone Calls

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Businesses can now build, test, and deploy AI voice agents across support, sales, and operations – alongside WhatsApp, RCS, and SMS – from a single platform

MUMBAI, India and SAN FRANCISCO, Sept. 3, 2026 /PRNewswire/ — Gupshup launched its Voice AI Platform, a self-serve console for building and running AI voice agents that handle calls end to end. The launch extends Gupshup’s engagement platform from messaging into voice, bringing support, sales, and operations onto the same infrastructure businesses use for WhatsApp, RCS, and SMS.

Gupshup’s Voice AI Platform resolves support calls, qualifies and converts leads, and automates operational calls such as scheduling, verification, and payment reminders, so human teams can focus on conversations that require a person.

The platform covers agent lifecycle in a no-code, prompt-based interface. Businesses configure an agent’s voice, language, knowledge base, system prompt, and workflows, then connect it to tools their teams use. Before going live, teams define guardrails, run simulations, and validate behaviour with tests – comparing models. Once deployed, analytics track success rates, satisfaction, and language usage, with transcripts, conversation history, and debug logs for review.

Gupshup’s platform is the first to bring unique capabilities. First, voice is a channel extension of a platform serving businesses across WhatsApp, RCS, and SMS – enabling voice-and-messaging experiences within a customer journey. Second, it supports telephony: PSTN and WhatsApp voice channels, on-premise and cloud deployment, and the option to bring PSTN infrastructure. Third, it is model-flexible – businesses choose speech-to-text, text-to-speech, and LLM providers rather than accepting a stack.

The platform builds on Gupshup’s experience powering customer engagement for 50,000+ businesses across 100+ countries and 25+ industries, processing 10 billion interactions monthly, including 500 million voice calls per month.

The Voice AI Platform has been beta tested and delivered outcomes across deployments. Users receive 100 minutes of credits to test, and pricing starts at USD 0.035 (INR 3.50) per minute.

“For customer engagement in emerging markets, Voice AI drives universal access – reaching every user regardless of language or literacy. In developed markets, it drives efficiency and automation. In both, it delivers cost savings, revenue growth, and satisfaction. With the launch of its Voice AI Platform alongside its messaging, Gupshup offers the only unified self-serve platform for customer engagement across voice and messaging,” said Beerud Sheth, Co-founder and CEO, Gupshup.

The Voice AI Platform is available to businesses at voiceai.gupshup.io.

For more information, visit www.gupshup.ai.

 

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SOURCE Gupshup Technology India Pvt Ltd

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Deepdub Launches Phantom Z 3.4 Conversational: Multilingual Text-to-Speech Built to Survive Real Customers, Not Just Demos

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Enterprise-grade real-time text-to-speech delivers 150ms time to first audio at full 48 kHz, with text normalization that gets account numbers, invoice totals and appointment dates right

TEL AVIV, Israel, Sept. 3, 2026 /PRNewswire/ — Deepdub, a foundational voice AI company pioneering expressive voice technologies, announced today the launch of Phantom Z 3.4 Conversational, a new multilingual text-to-speech model with high-fidelity 48 kHz audio, improved text normalization and extended Hebrew support. The model is available to all Deepdub clients now.

For enterprises running voice agents, a call holds together when four things go right at once. The voice sounds like a person. The response arrives fast enough to feel like a conversation. The agent knows when to speak and when to listen. And every account number, date and amount comes out the way a customer would say it. When one of them slips, the call escalates to a human, and that is where containment and cost are decided. Phantom Z 3.4 Conversational is built for all four.

“Every voice model sounds impressive for two minutes in a demo. Very few survive two weeks with real customers,” said Ofir Krakowski, CEO and co-founder of Deepdub. “Deployments don’t stall on the 95% a model gets right, they stall on the misread account number, the mangled surname, the one wrong digit on a live call. We built this model for that last few percent, because in production, the last few percent is the whole product.”

In English, the work is in text normalization, the step that turns written text into spoken words. A delivery date written 2024-12-31 is read as December thirty first, twenty twenty-four rather than as a run of digits. An invoice total written $1,240 is read as one thousand two hundred forty dollars. An appointment at 14:30 is read as two thirty. A reference written Chapter VII is read as chapter seven rather than as letters. These are the categories where Deepdub’s testing puts the model ahead of the other systems it was measured against. An enterprise running more than one language gets one set of behavior to test and one contract to hold rather than two.

Phantom Z 3.4 delivers an end-to-end p95 time-to-first-audio of 150 milliseconds in real-time mode at full-range 48 kHz audio, with cross-language voice transfer from under three seconds of reference audio. Deepdub builds and trains its own speech models from random rather than licensing them, which allows the company to bring a new language into production in two weeks. Deepdub covers more than fifty locales and dialects verified by local voice and language experts, inside a platform supporting more than 50 locales and dialects.

“We run Deepdub in production for live, real-time phone calls, where latency and naturalness aren’t nice-to-haves but the key factor in whether a caller stays on the line. 3.4 is the closest we’ve heard a synthetic voice come to a real person, and our callers show it: they stay longer, talk more, and engage with our agents like we’ve never seen before,” said Adir Haziza, CTO at Voiceman.

The hardest case is Hebrew, which is written without vowels, so the same letters can spell different words. The three letters of שלט are a sign read one way and a remote control read another. A model that reads one word at a time has to guess which the sentence means, and in Hebrew a wrong guess is not an accent, it is a different word that stays invisible until a customer hears it. Phantom Z 3.4 resolves this at the source. Pronunciation is decided from the whole sentence rather than word by word, and every instance of שלט in Deepdub’s Hebrew test set was read correctly. Where a brand name or a plan tier has to be said a particular way, marking it in the text is enough. Deepdub ranks first for Hebrew text-to-speech on the public TTS Arena leaderboard hosted by ivrit.ai on Hugging Face.

In Hebrew, national ID numbers, appointment dates and transaction amounts are expanded before speech, so a balance written as 1,240 ₪ is spoken in full rather than read out as digits. In blind listening tests, Phantom Z 3.4 was preferred over Deepdub’s previous Hebrew model in 71 percent of decisive comparisons.

“We needed something that would hold up consistently across a large volume of work, so we tested it thoroughly before deciding. What stood out was that the details came out right and the Hebrew was the most natural we’d heard,” said Dor Levy, Head of Jeen Talk at Jeen AI.

About Deepdub
Deepdub is the foundational voice AI model company pioneering expressive voice technologies for global enterprises across TV, film, advertising, gaming, e-learning, and AI-agent applications. The company’s international team of technology, dubbing, and linguistic experts deliver an end-to-end voice solution that preserves the emotional and cultural integrity of original content in more than 50 locales and dialects. With an advisory board that includes media leaders such as Kevin Reilly, former Chief Content Officer at HBO Max, and Emiliano Calemzuk, former President of Fox Television Studios, Deepdub is eliminating language barriers to enable the global diffusion of media on major streaming platforms like Netflix, Amazon Prime, and Hulu. Visit https://deepdub.ai or follow us on LinkedIn for more information.

Deepdub Media Contact
Zivit Katz
Deepdub
zivit.katz@deepdub.ai

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SOURCE Deepdub

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