Governed, Enterprise-Grade Gen-AI Orchestration Layer for Unstructured Data Intelligence

SYDNEY, Oct. 8, 2026 /PRNewswire/ — Nuix (ASX: NXL) announces the Nuix Neo Generative AI (Gen AI) Framework, which directly addresses the governance, confidence, and auditability concerns that have limited the use of large language models (LLMs) and Gen AI in high-stakes legal, risk and investigation matters.

Nuix Neo’s Gen AI Framework is a governed orchestration layer for putting Gen AI to work on organisations’ structured and unstructured data, with the auditability, guardrails and cost control that enterprise use demands. It brings together audit-grade telemetry and policy-enforced guardrails to support evidentiary integrity and corporate usage controls for LLMs. It monitors and meters token usage to prevent runaway token costs as well as intelligently managing the context window to ground answers and strengthens the reliability of AI outputs.

The framework enables the responsible, auditable connection of a customer’s selected LLM to enterprise data that is forensically and defensibly curated by the Nuix Neo platform. The Nuix Neo platform leverages over 25 years of R&D to deliver forensic-grade processing of an organisation’s unstructured data and in doing so, provides a curated and forensically defensible data intelligence layer relied upon by hundreds of the world’s most high-profile and high-stakes organisations. The Nuix Neo Gen AI Framework leverages this data intelligence layer and further tailors the experience to operationalise the application of customers’ selected LLMs, for the kind of responsible and auditable application of Gen AI demanded by high-stakes organisations. 

Under the Nuix Neo Gen AI Framework, customers retain the flexibility to choose the LLM and provider that best suits their requirements, with that flexibility designed to support the customers’ choice of strategic goals, business objectives and innovation appetite. Nuix provides the governance framework that securely connects that model to the curated data intelligence layer delivered by the patented data processing engine in the Nuix Neo platform.

This enabled the LA County District Attorney’s Office, for example, to select the AI models best suited to their business and then seamlessly integrate them into their Nuix Neo workflows.

Powerful application of the Nuix Neo Gen AI Framework

The Nuix Neo Gen AI Framework supports the delivery of two powerful capabilities known as Nuix Neo BYO AI and the Nuix Neo AI Agent, both of which leverage the framework’s comprehensive enterprise-grade infrastructure to operationalise LLMs in a manner demanded by high-stakes organisations.

Nuix Neo BYO AI

Nuix Neo BYO AI leverages the Nuix Neo Gen AI Framework and further tailors it to enable thorough AI analysis across every item in a dataset. Rather than relying on other approaches that prioritise or sample subsets, it applies repeatable workflows to systematically process every item and then crafts structured reports, with links back to source items and citations for rapid and forensically defensible action, all the while providing clarity and control over key issues like token usage.

“With Nuix Neo’s latest AI, we can move quickly to implement targeted solutions to digital evidence challenges and investigative bottlenecks, while satisfying our unique compliance needs. Being able to leverage the latest AI advancements while staying confined within our own environment is an accelerator,” said Donn Hoffman, Chief Privacy Officer and Deputy District Attorney at Los Angeles County District Attorney’s Office.

Nuix Neo Agentic AI

The Nuix Neo AI Agent, a conversational investigation capability built on the Gen AI Framework, is available for Early Adopter participants, via the Nuix Responsible Innovation Framework. The AI Agent extends the Nuix Neo platform, allowing analysts to interrogate their data with reasoning across text, metadata, and images, with access to the full power of Nuix’s APIs, including enhanced context from a curated knowledge graph, in a consistent, auditable way. The AI Agent is fully integrated into Nuix Neo, allowing analysts to follow any lead, in a fully managed, controlled and secured fashion.

In addition to Nuix Neo’s powerful data processing and deterministic AI capabilities, the Gen AI capabilities provide flexibility and choice to customers to apply the most appropriate tool for solving enterprise use cases. Like Nuix Neo BYO AI, the AI Agent operates on that curated, forensically processed dataset in the Nuix Neo platform. As with any Gen AI capability, outputs remain probabilistic and must be verified against source material and are intended to support, not replace, the judgement of qualified investigators, analysts, reviewers, and legal professionals.

Organisations interested in the Nuix Neo Responsible Innovation Framework program, or in seeing the Gen AI Framework in action, can contact their Nuix representative or visit nuix.com/nuix-neo for more information.

About Nuix
Nuix is a leading provider of investigative analytics and intelligence software, that empowers customers to be a force for good by finding truth in the digital world. We help customers collect, process and review large amounts of structured and unstructured data, making it searchable and actionable at scale and speed, with forensic accuracy.
For further information, please visit nuix.com

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SOURCE Nuix

Cross-border money transfers using stablecoins on Solana, built into the Samsung Wallet experience Galaxy users already know

NEW YORK, Oct. 7, 2026 /PRNewswire/ — Solana Foundation today announced that Samsung Wallet and Samsung Pay will support stablecoins on Solana. Samsung Wallet users in the United States will be able to send money across borders using USDC beginning the last week of October 2026.

The feature is built into Samsung Wallet rather than alongside it. Users will be able to send a remittance from the same interface they already use for cards, boarding passes and IDs, with integrated fiat on- and off-ramps converting to and from local currency. Solana‘s infrastructure operates behind the scenes, so users can transfer money seamlessly within the Samsung Wallet experience they already know.

At launch, the feature will be available across 82 million U.S. Galaxy devices, with additional markets to follow, subject to local regulatory requirements.

“Samsung Wallet is about making useful experiences feel simple and intuitive,” said Woncheol Chai, EVP and Head of the Digital Wallet Team at the Mobile eXperience (MX) Business at Samsung Electronics. “Stablecoins have the potential to make moving money around the world faster and easier, and we want Galaxy users to be able to take advantage of that without having to navigate the complexity of traditional crypto tools. Solana helps us bring that experience to Samsung’s scale.”

“For a decade, stablecoins have proved the technology works,” said Lily Liu, President, Solana Foundation. “What they lacked was a way to reach the mainstream. Samsung’s decision to work with Solana puts digital dollars into everyday life through one of the world’s most trusted technology brands. This level of adoption is what we built Solana for, and we’re seeing the moment when stablecoins stop being a crypto product and start being how people move money.”

Stablecoin activity on Solana has grown sharply in the past year. Stablecoin supply on Solana is up nearly 20% year over year, and the network has processed more than $5.25 trillion in stablecoin volume in 2026 alone. Major enterprises, like PayPal and Western Union, are already leveraging Solana for stablecoin activity. Samsung’s integration brings this momentum to the next level, making Solana‘s technology easily accessible on 82 million U.S. Galaxy devices.

About Solana
Solana is a high performance network powering internet capital markets, payments, AI agents, and crypto applications. Solana operates as a single global state machine, and is open, interoperable and decentralized. For more information, please visit https://solana.com.

Media Contact
press@solana.org 

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SOURCE Solana Foundation

New Appian research finds the most significant AI errors encountered had financial, compliance, or reputational impact consequences

SYDNEY, Oct. 8, 2026 /PRNewswire/ — Sixty percent of Australian workers have personally identified an error made by an artificial intelligence (AI) tool at work, according to new research from Appian (Nasdaq: APPN).

The Australian workplace study found that while workers widely report AI mistakes, more than one in five said employees in their organisation are discouraged from challenging its recommendations or decisions. Against that backdrop, only 14% fully trust the AI-generated outputs used within their organisation.

Charlie Hutchinson, SVP Asia-Pacific and Japan at Appian, said organisations cannot expect workers to embrace AI if they do not trust its outputs or feel able to question them. “It is hardly surprising that complete trust in AI is so low when workers are catching it making mistakes and are discouraged from questioning its outputs,” said Hutchinson.

“For businesses, mistrust creates a lose-lose situation. Employees may avoid AI or spend time checking everything it produces, wiping out the productivity gains it was meant to deliver. Alternatively, they may continue using an output they suspect is wrong because they do not feel able to challenge it. AI needs to operate within the same governance processes and controls as the rest of the business, with people able to step in before a significant error occurs.”

AI mistakes are undermining worker trust

AI errors are already affecting customers and business operations. One in five workers said the most significant AI error they encountered caused a customer service issue, while 13% reported operational disruption.

Almost half said the most significant AI error they experienced resulted in consequences beyond minor inconvenience, including financial, compliance, or reputational impact.

The potential for AI to make incorrect decisions was the greatest concern for 25% of respondents, followed by data privacy and security risks at 22%, and a lack of transparency around how AI reaches decisions at 20%.

“Every visible error gives workers another reason to question whether AI should be trusted with more consequential work,” said Hutchinson. “Employees are often the last line of defence before an incorrect output reaches a customer or becomes part of a business decision. If they are discouraged from speaking up, organisations remove one of their most important safeguards.”

As a result of these challenges, almost all workers (94%) said AI should not be allowed to make decisions affecting employees or customers without limits or human oversight. This is reinforced by findings that senior management remains more trusted than AI, with 52% placing greater trust in senior leaders compared with 29% who trust AI more.

Businesses recognise the risk, but controls are lagging

Global research from Harvard Business Review Analytic Services, sponsored by Appian, found a significant gap between recognising the risks of AI and acting on them. While 92% agreed AI agents need rules-based guardrails to operate safely and effectively, less than half (48%) said their organisation has defined them.

As businesses move AI from standalone productivity tools into core processes that directly affect employees and customers, the consequences of that gap will become more significant.

“Businesses know AI needs rules, but many are deploying it before those rules are in place. Doing so without the right controls can quickly lead to unexpected token costs, operational disruption and accountability gaps,” said Hutchinson. “Governance cannot be bolted on after AI is already influencing decisions. AI needs to be embedded within governed business processes that control what it can access, define the rules it must follow, and determine when a decision must be handed to a person. That gives employees the visibility and confidence to use AI while allowing businesses to capture its productivity benefits without giving up accountability.”

Workers reject AI without accountability

Two-thirds (66%) of Australian workers believe decisions affecting employees or customers should either require human review and approval or always be made by people. A further 28% would restrict AI to low-risk decisions.

“Australian workers are rejecting unchecked AI. Businesses will only realise the full value of AI if employees build trust, are willing to use it within critical processes, and confident enough to act on its outputs. That requires governed processes where AI recommendations and autonomous agent outputs can be systematically reviewed, validated, or overridden and human judgement remains part of important decisions,” concluded Hutchinson.

If you are ready to leverage AI automation for critical processes with structure, reliability and control, start here.

Appian Australian Research Methodology:
Appian commissioned Zoho Research to survey 500 Australian workers in Q3 2026.

About Appian:
Appian provides AI automation for mission-critical work.. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We’ve been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. (Nasdaq: APPN) 

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Forward-Looking Statements

This press release includes forward-looking statements. All statements contained in this press release other than statements of historical facts are forward-looking statements. The words “anticipate,” “believe,” “continue,” “estimate,” “expect,” “intend,” “may,” “will,” and similar expressions are intended to identify forward-looking statements. These forward-looking statements are subject to a number of risks and uncertainties, including the risks and uncertainties set forth in the “Risk Factors” section of Appian’s most recent Annual Report on Form 10-K, quarterly reports on Form 10-Q, and other filings with the Securities and Exchange Commission. Appian is under no duty to update any of these forward-looking statements after the date of this press release to conform these statements to actual results or revised expectations, except as required by law.

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SOURCE Appian