logo
Thales launches real-time file activity monitoring with AI help

Thales launches real-time file activity monitoring with AI help

Techday NZ12-06-2025
Thales has introduced a new File Activity Monitoring capability within its CipherTrust Data Security Platform that offers real-time oversight and control of unstructured data across on-premises, hybrid, and multicloud environments.
File Activity Monitoring (FAM) is designed to help organisations monitor file activity as it happens, identify risks including unauthorised downloads and sharing, and streamline compliance processes related to standards such as GDPR, HIPAA, and PCI DSS. The capability incorporates a built-in Generative AI assistant to aid audit processes, reduce complexity, and improve response times within a single platform engineered to secure both structured and unstructured data.
Unstructured data challenge
According to IDC, unstructured data currently accounts for 90% of all worldwide data, making its management and protection a significant concern for businesses. FAM enables security teams to monitor the movement and activity of unstructured data, including files such as emails, chat logs, media files, and application logs, which can all house sensitive information. The platform delivers real-time alerts, analytics, and encryption tracking to support faster threat detection and protection for sensitive data.
Thales stated that the new capability addresses a major blind spot in data security by delivering continuous data discovery, classification, and monitoring. This approach provides the necessary foundation for effective Data Security Posture Management, and also aids compliance and the identification of unauthorised activities that might lead to data exposure.
The platform's centralised management is intended to streamline audit reporting and improve threat response, reducing operational complexity across the data lifecycle.
Industry perspectives
Leila Kuntar, Principal Information Security Engineer at Amadeus, commented on the launch: "Thales' innovative approach to File Activity Monitoring tackles key challenges like blind spots in hybrid environments, offering real-time visibility and smart anomaly detection — a potential game-changer for teams overwhelmed by false positives. By striking the right balance of depth and simplicity, FAM shows promise in helping us strengthen the SOC without added complexity. With tighter SIEM integration, it can sharpen response and let teams focus on what matters most. We're excited to see how FAM evolves and enhances our data security."
Kuntar's remarks reflect the challenges security teams face in managing complex hybrid data environments, and the need for visibility without an increase in operational burden or false positives.
Todd Moore, Vice President of Data Security Products at Thales, said: "As unstructured data grows rapidly across distributed environments, organizations need more integrated ways to track and safeguard their most sensitive information. With File Activity Monitoring, Thales reinforces its leadership in enterprise data security by delivering real-time insight, intelligent automation, and unified visibility through a single, powerful platform."
Capability detail
File Activity Monitoring strengthens Data Security Posture Management (DSPM) by allowing security teams to discover, classify, observe, and control sensitive data across all infrastructure types. It can pinpoint the location of sensitive data, identify who has access, and determine if it is secured in real time, supporting the detection of suspicious behaviours such as unauthorised copying or sharing. The tool can transform static data classification into dynamic risk intelligence by incorporating behavioural context, and supports remediation techniques including rapid incident reconstruction via audit logs and the application of strong encryption where needed.
AI-powered assistance
To assist with compliance and security workflows, FAM includes a Generative AI-powered Data Security Assistant. This chatbot provides capabilities to query audit information, generate custom reports, and facilitate compliance processes, lessening the administrative load on IT and security professionals while supporting regulatory obligations.
Moore also addressed the need for adaptable security controls, stating: "As technology evolves rapidly, our controls must be flexible enough to keep pace without adding complexity. Automation and intelligence help overwhelmed security teams scale operations and focus on what matters most. With tools like our chatbot, they can ask natural language questions and get instant, actionable answers, accelerating response times and improving operational efficiency."
Thales has previously focused on structured database activity protection and is now extending this experience to include unstructured data. The platform aims to offer similar oversight and operational experience for both data types, addressing growing organisational requirements for data control and security as data volumes increase and diversify.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Retailers face data hurdles as just 11% ready for full-scale AI
Retailers face data hurdles as just 11% ready for full-scale AI

Techday NZ

time2 days ago

  • Techday NZ

Retailers face data hurdles as just 11% ready for full-scale AI

A new report from Amperity reveals that although nearly half of all retailers are engaging with artificial intelligence tools on a weekly basis, only a small minority are fully prepared to scale these initiatives due to persistent data challenges. The 2025 State of AI in Retail report surveyed 1,000 retail professionals from sectors ranging from marketing and IT to executive leadership. According to the findings, 45% of retailers currently use AI daily or several times per week, and 97% plan to maintain or increase their AI investment within the next year. However, just 11% report they are ready to implement AI tools at full scale across their organisations. Tony Owens, Chief Executive Officer of Amperity, emphasised the importance of unified, actionable data in realising AI's benefits. "Retailers believe in AI's potential to drive loyalty and lifetime value - but belief alone won't close the gap between ambition and execution," said Tony Owens, CEO of Amperity. "What's needed is unified, actionable customer data - regardless of where it resides. With Amperity's patented identity resolution, retailers can unify data without moving it, transforming fragmented records into complete customer profiles that fuel AI and measurable business results." Customer-facing uses lagging The report highlights a gap between retailers' expectations and actual deployment of AI in customer engagement. While 63% expressed confidence that AI will foster greater customer loyalty and 65% expected it to increase customer lifetime value, only 43% currently deploy AI in customer-facing roles such as personalisation, chatbots, or bespoke marketing experiences. Moreover, a mere 23% use AI systems in production to resolve customer identities or ready their data for marketing use, indicating a sizeable unrealised opportunity. Role of customer data platforms The adoption of customer data platforms (CDPs) appears to be a significant factor separating those retailers making regular and effective use of AI from those lagging behind. The survey revealed that 60% of retailers equipped with a customer data cloud use AI at least weekly, compared to only 29% of retailers without this infrastructure. Additionally, 35% of CDP users employ AI for production-level data preparation for marketing or analytics, suggesting a tangible advantage over the 9% without such platforms. Furthermore, 22% report full-scale AI adoption across multiple departments, while only 10% of those without a CDP do the same. This alignment between high-quality, unified data and accelerated AI maturity is also reflected in retailers' confidence in understanding and deploying customer insights. The findings suggest that the presence of a CDP is becoming an essential element in modern enterprise AI strategies. Tapan Patel, Research Director at IDC, commented on these shifts within the retail industry. "This survey highlights a pivotal shift in retail: AI is moving decisively from experimentation to scaled execution. Retailers are leveraging AI to deliver more adaptive, personalised customer experiences powered by high-quality, unified customer data," said Tapan Patel, research director at IDC. "Retailers who integrate AI into core workflows - across supply chain, merchandising, and engagement - are setting the new standards for customer experience in an increasingly dynamic market." Technical and data limitations The upbeat sentiment about AI's prospects is tempered by ongoing challenges, particularly related to data fragmentation and technical resources. According to the report, 58% of respondents described their customer data as fragmented or incomplete, presenting significant hurdles to coherent AI implementation. High costs associated with AI tools were cited by 46%, and limited technical expertise was a concern for 35% of those surveyed. Only 21% of participants expressed strong confidence in their current abilities to act on customer data effectively. The report's findings underscore a pressing need for strategies that allow retailers to bring together diverse, siloed data sources without compromising on compliance or operational efficiency. As the results indicate, achieving measurable business outcomes with AI hinges largely on solving these foundational data issues.

Resilience is the real innovation - A founder's perspective on building enduring tech companies in New Zealand
Resilience is the real innovation - A founder's perspective on building enduring tech companies in New Zealand

Techday NZ

time2 days ago

  • Techday NZ

Resilience is the real innovation - A founder's perspective on building enduring tech companies in New Zealand

In my 24 years of building and running technology companies in New Zealand, I've learned that we often celebrate the wrong thing. Often the thing that gets the real attention is the flashy idea, the "lightbulb moment." But ideas are plentiful. The real innovation - the kind that builds enduring companies - is resilience. It's the grit to see a real business problem and the tenacity to solve it, even when your initial plan gets thrown out the window. The story of Datamasque, a company born from within Spectrum, is a perfect example of this. The problem that wasn't going away Around 2015, we saw a fundamental change emerging within our enterprise clients and the rise of data virtualization technologies. Capitalising on this growth Spectrum worked with Actifio (now a Google technology) and later with our current key partner Cohesity. Data virtualization was a game-changer for development workflows. It gave teams the ability to spin up copies of production data for development and testing, Quality Assurance and user acceptance testing. However, this ability to spin up new environments created a massive, and at that time unmanaged, security risk. With GDPR on the horizon and data privacy becoming a board-level conversation, it was clear that this data sprawl was a ticking time bomb. Every developer wanted their own slice of the pie, but every new copy created a massive unmanaged security risk and every new stream of work expanded the company's attack surface exponentially. We saw clients with a single production database spawning 50+ copies, once even 90!, across their non-production environments. Each copy was a complete replica, full of sensitive, personally identifiable information (PII). A massive unplanned risk. The first plan, and the first pivot Our initial approach was pragmatic. We looked at third-party data masking tools, but they were incredibly complicated and expensive for the use cases our clients had. They didn't integrate cleanly into the modern, agile workflows our clients were adopting. So, Spectrum decided to invest in our own development team to build a new tool that solved the actual problem. Our initial plan was ambitious; we saw the emerging cloud and data management marketplaces as a potential route to a global audience, as such we started building with the idea of plugging directly into that ecosystem. We committed the resources and took the bet. As is often the case with cutting-edge technology, the timing wasn't quite right. The marketplace ecosystem was still in its early stages, and the deep integration points we needed hadn't been developed yet. This is the point where many ventures die; your core commercial strategy hits a roadblock, and it's easy to write off the investment. But resilience means you don't quit on the problem just because your first path is blocked. How resilience forged real innovation That initial roadblock forced us to rethink everything. It was the best thing that could have happened. We pivoted. Instead of building an integrated feature for someone else's platform, we decided to build a standalone, independent product - Datamasque. A tool that could be pointed at any database, in any environment, and simply work. This pivot forced us to solve harder problems. We couldn't rely on a host platform, so we had to perfect our own architecture. We had to build a solution that was not just functional, but flexible and powerful in its own right. This is how we developed "synthetically identical data" a unique solution for data masking that transforms sensitive information into artificial yet highly realistic data. This masked data maintains its structural integrity and realism for effective testing and development, while being irreversible and anonymous to ensure privacy and compliance. We also created the unique solutions, like our "run secrets" feature, which optionally allows masked data consistency across different environments to remain the same for the same original input, regardless of where it's used. This allows organizations to leverage production-like data for innovation without compromising security or regulatory requirements. The product that emerged from this period of challenge was ten times better than the one we had originally planned. Coming full circle, a partnership built on shared history Datamasque was split out from Spectrum in 2020, has gone on to win multiple awards, and serve major international clients. It is a testament to the culture of innovation we've fostered at Spectrum over the last 24 years. In the international context New Zealand is a small pond, however Spectrum looks after some of its biggest fish by building and caring for mission-critical infrastructure in some of our largest enterprises. These enterprises have the same data security requirements as their international counterparts, so the product very quickly went global. And we couldn't be more proud! Ultimately, the marketplace strategy proved it was the right one, and the story has now come full circle; Spectrum's storage partner Cohesity has grown into a market leader, and Datamasque is now a proud member of the Cohesity Data Security Alliance. Now, as part of Spectrum's renewed focus, we have become a key sales and implementation partner for Datamasque in New Zealand. We don't just understand the data privacy problem academically; we have lived it, solved it, and built a world-class company to address it. We are now bringing this powerful, Kiwi-born innovation back to the enterprises it was originally designed to protect. If your organisation is looking to unlock the value of its data for development, testing, or AI without compromising on security and privacy, then we should talk. As a key partner for both Datamasque and Cohesity, Spectrum is uniquely positioned to help you manage your data estate securely and efficiently. We have the solutions, because we had the resilience to build them.

New Relic & M.Tech team up to boost APAC observability market
New Relic & M.Tech team up to boost APAC observability market

Techday NZ

time3 days ago

  • Techday NZ

New Relic & M.Tech team up to boost APAC observability market

New Relic has announced a partnership with to expand its presence in Singapore and across the Asia Pacific region. The new collaboration will see a provider of cybersecurity and network performance solutions, offer New Relic's intelligent observability platform through a network of more than 1,000 resellers. This partnership aims to improve access to combined AI-powered observability and cybersecurity solutions for customers in a variety of sectors. The distribution model between New Relic and will follow a two-tier structure, utilising established distribution and reseller networks to extend the reach of New Relic's platform throughout Asia Pacific. The approach is intended to enhance customer support, meeting specific regional and sector demands, and provide enterprises with scalable solutions. resellers will play a key role in helping organisations deploy, integrate, and optimise New Relic offerings within their operational environments. "We selectively partner with market leading vendors who are established in their field. New Relic's industry-leading intelligent observability platform was a clear strategic fit," said Executive Director Foo Fang Yong. "This partnership will enable our resellers to offer holistic observability and cybersecurity solutions, adding significant value to our existing portfolios while driving growth for new customers looking to adopt cutting-edge technological solutions." Recent forecasts underscore the importance of such solutions in the region. According to IDC's Asia Pacific Whole Cloud Forecast, cloud spending across Asia Pacific is expected to climb at a compound annual growth rate of 17.3 percent, reaching USD $329.1 billion by 2027. Organisations are increasingly seeking ways to manage cloud costs, improve customer experiences, and streamline operations through consolidating their IT tools and platforms. The collaboration between New Relic and is positioned to address these trends by providing businesses with observability solutions that deliver real-time insights and support IT operations optimisation. "In a region as culturally diverse as Asia-Pacific, partners like play an invaluable role in connecting and enabling customers to access best-in-class technology," said New Relic Channel Chief and Group Vice President of Partners and Alliances, Larissa Crandall. "The combination of deep experience in the cybersecurity market with New Relic's intelligent observability platform will provide customers in Singapore and beyond with industry leading solutions that deliver real-time insights to optimise performance, drive innovation, and deliver exceptional customer experiences." This announcement follows the recent appointment of Kenny Tan as Director of Alliances and Channels for Asia Pacific and Japan at New Relic. Based in Singapore, Tan brings two decades of channel sales experience to the role, where he will oversee the strengthening of relationships with current partners and the facilitation of new collaborations, including through enablement and co-marketing initiatives aimed at expanding the company's regional footprint. New Relic has also updated its Partner Program, which supports organisations in driving business growth and accessing new revenue streams through the company's observability platform. These enhancements are intended to assist resellers, customers, and partners as they respond to increasing digital transformation initiatives and shifts in cybersecurity requirements throughout Asia Pacific. The partnership is expected to bring a suite of observability and cybersecurity solutions to a broader customer base as cloud adoption and digital operations continue to expand in the region. Follow us on: Share on:

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