logo
eflow Global launches sandbox to help reduce false positives

eflow Global launches sandbox to help reduce false positives

Techday NZ11 hours ago
eflow Global has launched a sandbox feature for its TZTS Trade Surveillance system, providing compliance teams with a secure environment to test and adjust alert thresholds without affecting live systems.
Responding to regulatory pressure
The new Sandbox functionality offers compliance teams a dedicated replica of their surveillance system in which they can simulate and refine alert parameters using real historical trading data. This development comes as compliance teams continue to grapple with high volumes of false positives and intensified regulatory scrutiny.
Recent research from eflow Global indicates that 43% of regulatory professionals cite managing the volume of false positive alerts generated by their trade surveillance systems as a major concern. These false alarms can distract teams from real threats, making it harder to prioritise meaningful alerts and comply with regulatory expectations.
Traditionally, financial firms have found it challenging to experiment with their trade surveillance configurations due to concerns over compliance risks when making changes to live systems. The Sandbox aims to address this gap by enabling secure, risk-free experimentation.
Functionality details
The Sandbox provides a ring-fenced replica of a firm's trade surveillance setup. Compliance professionals can stress-test and simulate parameter alterations using historical trade data, analyse the resulting alert outcomes, and then export their preferred settings seamlessly into production systems. This tool supports efforts to reduce false positives, improve audit readiness, and adjust to changing market dynamics. "The ability to stress-test your surveillance strategy with real-life trading data in a no-risk environment is a game-changer," said Ben Parker, CEO of eflow Global. "Firms need the confidence that their alert thresholds are both appropriately stringent and operationally manageable. The Sandbox gives them that confidence - backed by real data and a clear audit trail."
This new feature is available to all users of the TZTS Trade Surveillance system, and it comes at a time when regulatory activity is rising sharply. In the first quarter of 2025, global regulatory enforcement produced over $150 million in financial penalties across six jurisdictions. Enforcement actions in 2024 increased by 863% year-on-year, highlighting the urgency for compliance functions to operate with reliable and defensible surveillance methods.
Changing market conditions
Market volatility has added to the compliance burden. Ben Parker noted recent events that have led to rapid spikes in alert volumes, including technological and geopolitical developments. "Recent market shocks, such as the release of DeepSeek AI and its ripple effect across NVIDIA and the wider NASDAQ, as well as the renewed volatility following President Trump's recent tariff announcements, have shown how quickly alert volumes can spike," added Parker. "The Sandbox gives firms a way to replay these periods, refine parameters in response, and ensure robust controls are in place."
Given this context, compliance teams are increasingly required by regulators to demonstrate that their surveillance parameter tests are based on real evidence and robust processes. The capability to playback historical data and visibly adjust controls provides them with the audit trail necessary to validate their surveillance procedures during regulatory reviews.
The system's audit support is designed to help financial firms demonstrate regulatory compliance, improving their readiness for inspections and inquiries. Firms can trace decisions regarding alert configuration changes directly to historical data events, helping to prove that their controls are suitable for evolving market and regulatory conditions.
Availability and industry implications
The Sandbox is now included for all users of TZTS Trade Surveillance. It is positioned to support both immediate adjustments arising from current market movements and ongoing strategy reviews aimed at reducing false positives and demonstrating compliance diligence.
Follow us on:
Share on:
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

NVIDIA & Black Forest Labs boost AI image editing with FLUX.1
NVIDIA & Black Forest Labs boost AI image editing with FLUX.1

Techday NZ

time11 hours ago

  • Techday NZ

NVIDIA & Black Forest Labs boost AI image editing with FLUX.1

NVIDIA has partnered with Black Forest Labs to optimise the FLUX.1 Kontext image generation model for RTX GPUs using TensorRT. Black Forest Labs has developed the FLUX.1 Kontext model to further simplify the process of guiding and refining AI-generated images. Unlike traditional workflows that combine multiple models and rely on ControlNets for fine-tuning, FLUX.1 Kontext offers a single solution for both generating and editing images through natural language. This approach enables users to start with a reference image and direct edits using simple language prompts, eliminating complex multi-model workflows. The model handles both text and image inputs, allowing users to reference a visual concept and guide its development in a more coherent and intuitive manner. Model capabilities The FLUX.1 Kontext model offers several core features, including character consistency, localised editing, style transfer, and real-time performance. Black Forest Labs describes the key capabilities as follows: Character Consistency: Preserve unique traits across multiple scenes and angles. Localised Editing: Modify specific elements without altering the rest of the image. Style Transfer: Apply the look and feel of a reference image to new scenes. Real-Time Performance: Low-latency generation supports fast iteration and feedback. The goal is to enable coherent, high-quality edits that remain faithful to the original concepts. By providing both natural language and image-based editing options, FLUX.1 Kontext aims to make the refining process more accessible to a broader range of users, without the need for technical expertise or additional models. Performance optimisations NVIDIA collaborated with Black Forest Labs to optimise FLUX.1 Kontext for RTX GPUs using the TensorRT software development kit. This includes quantising the model to reduce VRAM requirements and improve accessibility for users running it locally. According to NVIDIA, these changes deliver more than twice the acceleration compared to running the original BF16 model with PyTorch, allowing for lower latency and faster iteration times in real-time editing workflows. As described by Black Forest Labs, the optimisation was designed to open up access to the benefits of high-fidelity AI image editing to a larger audience: "To further streamline workflows and broaden accessibility, NVIDIA and Black Forest Labs collaborated to quantise the model - reducing the VRAM requirements so more people can run it locally - and optimised it with TensorRT to double its performance. Thanks to TensorRT - a framework to access the Tensor Cores in NVIDIA RTX GPUs for maximum performance - users gain access to over 2x acceleration compared with running the original BF16 model with PyTorch." Availability and developer support FLUX.1 Kontext [dev] is now available for download in both Torch and TensorRT variants on the Hugging Face platform. Users can run the Torch models in ComfyUI, and Black Forest Labs has also made an online playground available for broader experimentation. For developers and advanced users, NVIDIA is preparing sample code to support the integration of TensorRT pipelines, with additional resources expected to be released later this month. The release of FLUX.1 Kontext follows a period of increased interest in adaptable, user-friendly AI image generation solutions. By combining natural language guidance, visual references, and enhanced GPU optimisation, the companies aim to further reduce barriers to AI-powered image editing for both hobbyists and professionals. Follow us on: Share on:

eflow Global launches sandbox to help reduce false positives
eflow Global launches sandbox to help reduce false positives

Techday NZ

time11 hours ago

  • Techday NZ

eflow Global launches sandbox to help reduce false positives

eflow Global has launched a sandbox feature for its TZTS Trade Surveillance system, providing compliance teams with a secure environment to test and adjust alert thresholds without affecting live systems. Responding to regulatory pressure The new Sandbox functionality offers compliance teams a dedicated replica of their surveillance system in which they can simulate and refine alert parameters using real historical trading data. This development comes as compliance teams continue to grapple with high volumes of false positives and intensified regulatory scrutiny. Recent research from eflow Global indicates that 43% of regulatory professionals cite managing the volume of false positive alerts generated by their trade surveillance systems as a major concern. These false alarms can distract teams from real threats, making it harder to prioritise meaningful alerts and comply with regulatory expectations. Traditionally, financial firms have found it challenging to experiment with their trade surveillance configurations due to concerns over compliance risks when making changes to live systems. The Sandbox aims to address this gap by enabling secure, risk-free experimentation. Functionality details The Sandbox provides a ring-fenced replica of a firm's trade surveillance setup. Compliance professionals can stress-test and simulate parameter alterations using historical trade data, analyse the resulting alert outcomes, and then export their preferred settings seamlessly into production systems. This tool supports efforts to reduce false positives, improve audit readiness, and adjust to changing market dynamics. "The ability to stress-test your surveillance strategy with real-life trading data in a no-risk environment is a game-changer," said Ben Parker, CEO of eflow Global. "Firms need the confidence that their alert thresholds are both appropriately stringent and operationally manageable. The Sandbox gives them that confidence - backed by real data and a clear audit trail." This new feature is available to all users of the TZTS Trade Surveillance system, and it comes at a time when regulatory activity is rising sharply. In the first quarter of 2025, global regulatory enforcement produced over $150 million in financial penalties across six jurisdictions. Enforcement actions in 2024 increased by 863% year-on-year, highlighting the urgency for compliance functions to operate with reliable and defensible surveillance methods. Changing market conditions Market volatility has added to the compliance burden. Ben Parker noted recent events that have led to rapid spikes in alert volumes, including technological and geopolitical developments. "Recent market shocks, such as the release of DeepSeek AI and its ripple effect across NVIDIA and the wider NASDAQ, as well as the renewed volatility following President Trump's recent tariff announcements, have shown how quickly alert volumes can spike," added Parker. "The Sandbox gives firms a way to replay these periods, refine parameters in response, and ensure robust controls are in place." Given this context, compliance teams are increasingly required by regulators to demonstrate that their surveillance parameter tests are based on real evidence and robust processes. The capability to playback historical data and visibly adjust controls provides them with the audit trail necessary to validate their surveillance procedures during regulatory reviews. The system's audit support is designed to help financial firms demonstrate regulatory compliance, improving their readiness for inspections and inquiries. Firms can trace decisions regarding alert configuration changes directly to historical data events, helping to prove that their controls are suitable for evolving market and regulatory conditions. Availability and industry implications The Sandbox is now included for all users of TZTS Trade Surveillance. It is positioned to support both immediate adjustments arising from current market movements and ongoing strategy reviews aimed at reducing false positives and demonstrating compliance diligence. Follow us on: Share on:

Nvidia briefly on track to become world's most valuable company ever
Nvidia briefly on track to become world's most valuable company ever

RNZ News

timea day ago

  • RNZ News

Nvidia briefly on track to become world's most valuable company ever

By Noel Randewich and Shashwat Chauhan , Reuters The Nvidia logo on a mobile phone, on 31 January, 2025. Photo: AFP/ Beata Zawrzel Nvidia (NVDA.O), opens new tab hit a market value of US$3.92 trillion, briefly putting it on track to become the most valuable company in history, as Wall Street doubled down on optimism about AI. Shares of the leading designer of high-end AI chips rose as much as 2.4 percent to US$160.98 in morning trading, giving the company a higher market capitalization than Apple's (AAPL.O), opens new tab record closing value of US$3.915 trillion on 26 December, 2024. The shares were last up 1.5 percent at $159.60, leaving Nvidia's stock market value at $3.89 trillion, just short of Apple's record. Nvidia's newest chips have made gains in training the largest artificial-intelligence models, fueling demand for products by the Santa Clara, California, company. Microsoft (MSFT.O), opens new tab is currently the second-most valuable company on Wall Street, with a market capitalisation of $3.7 trillion as its shares rose 1.7 percent to $499.56. Apple rose 0.8 percent, giving it a market value of $3.19 trillion, in third place. A race among Microsoft, (AMZN.O), opens new tab, Meta Platforms (META.O), opens new tab, Alphabet (GOOGL.O), opens new tab and Tesla (TSLA.O), opens new tab to build AI data centers and dominate the emerging technology has fueled insatiable demand for Nvidia's high-end processors. "When the first company crossed a trillion dollars, it was amazing. And now you're talking four trillion, which is just incredible. It tells you that there's this huge rush with AI spending and everybody's chasing it right now," said Joe Saluzzi, co-manager of trading at Themis Trading. The stock market value of Nvidia, whose core technology was developed to power video games, has increased nearly eight-fold over the past four years, from $500 billion in 2021 to now near $4 trillion. Nvidia is now worth more than the combined value of the Canadian and Mexican stock markets, according to LSEG data. The tech company also exceeds the total value of all publicly listed companies in the United Kingdom. Nvidia recently traded at about 32 times analysts' expected earnings for the next 12 months, below its average of about 41 over the past five years, according to LSEG data. That relatively modest price-to-earnings valuation reflects steadily increasing earnings estimates that have outpaced Nvidia's sizable stock gains. The company's stock has now rebounded more than 68 percent from its recent closing low on 4 April, when Wall Street was reeling from President Donald Trump's global tariff announcements. US stocks, including Nvidia, have recovered on expectations that the White House will cement trade deals to soften Trump's tariffs. Nvidia's swelling market capitalization underscores Wall Street's big bets on the proliferation of generative AI technology, with the chipmaker's hardware serving as the foundation. The sharp increases in the shares of Nvidia and other Wall Street heavyweights have left people who save for their retirements through widely used S&P 500 index funds heavily exposed to the future of AI technology. Nvidia now accounts for 7 percent of the S&P 500 (.SPX), opens new tab. Nvidia, Microsoft, Apple, Amazon and Alphabet together make up 28 percent of the index. "I strongly believe that AI is a greatly productive tool, but I am fairly sure that the current delivery of AI via large language models and large reasoning models are unlikely to live up to the hype," cautioned Kim Forrest, chief investment officer at Bokeh Capital Partners. Co-founded in 1993 by CEO Jensen Huang, Nvidia has evolved from a niche company popular among video game enthusiasts into Wall Street's barometer for the AI industry. The stock's recent rally comes after a slow first half of the year, when investor optimism about AI took a back seat to worries about tariffs and Trump's trade dispute with Beijing. Chinese startup DeepSeek in January triggered a selloff in global equities markets with a cut-price AI model that outperformed many Western competitors and sparked speculation that companies might spend less on high-end processors. In November of last year, Nvidia took over the spot on the Dow Jones Industrial Average formerly occupied by chipmaker Intel (INTC.O), opens new tab, reflecting a major shift in the semiconductor industry toward AI-linked development and the graphics processing hardware pioneered by Nvidia. - Reuters

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store