BetaNews Staff

The life sciences and healthcare industries have critical challenges to overcome in 2025. Costs in both are on the rise, forcing business leaders to seek out more efficient methods for developing and delivering new products and services. Additionally, consumer expectations are higher than ever, with patients and other clients looking for features that maximize convenience and accessibility.

To help with these challenges, industry leaders should consider the potential of artificial intelligence. AI has been transforming the business world by providing the power to automate, analyze, and increase efficiency in unprecedented ways. For life sciences and healthcare, AI provides the capability to gather and analyze data in a way that drives better outcomes and delivers better consumer experiences.

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As AI marks its stamp on every industry, the software development landscape is experiencing a rapid transformation driven by the integration of automation into coding practices. With approximately $1 billion invested in AI-driven code solutions since early 2022, we’re seeing a shift that goes far beyond just automation. This transformation is redefining the entire software development lifecycle and testing assumptions about what it means to be a developer.  

It is clear, as we embark at the beginning of a new era, that the future of coding does not reside in opposing change, but in adapting our approaches to education and practice in software development. 

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The financial services industry is in the midst of an unprecedented AI arms race. Criminal organizations are getting smarter, using cutting-edge tech to launch elaborate attacks on financial systems. In response, financial institutions (FIs) are turning to AI and machine learning (ML) to level the playing field. That’s right -- FIs are keeping pace with their criminal counterparts, thwarting malicious activity much more reliably and efficiently.

Having spent my career at the intersection of finance and technology, I've seen the constant race to stay ahead of evolving criminal operations. Rules-based systems, while foundational, simply can't match the speed and adaptability of modern financial crime. But now, through advanced pattern detection, adaptive defense mechanisms, and dramatically improved accuracy in identifying suspicious activity, AI is fundamentally reshaping how we fight financial crime -- and winning.

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Critical national infrastructure (CNI) has had a rough 2024 in the UK when it comes to cybercrime. From the chaos caused by a teenager who hacked into TfL to the dangerous impact on the NHS after the Synnovis breach. And let us not forget the ongoing fallout from the Sellafield breach in December 2023.

These are just a few of the notable cases of a much wider problem, with Bridewell finding that 60 percent of UK CNI organizations experiencing at least one ransomware attack over the past 12 months.

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In 2024, opposing nation-states have utilized cyberattacks to project power and disruption from within their own borders. This shift has been epitomized by the rise of the “Axis of Upheaval,” dominated by the CRINKs nations -- China, Russia, Iran, North Korea -- who share a common reliance on using cyberattacks to wreak havoc in an affordable manner.

Whether it’s North Korea using ransomware to generate revenue for its isolated regime, or Russia focusing on disrupting and eroding public trust in democratic institutions, each state is finding its niche to cause harm. Despite these varied goals and techniques, it’s the same sectors again and again in the crosshairs. Whether it’s CNI, healthcare, or finance, these organizations now must protect against a wide range of attack styles and techniques.

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Automations empowered by artificial intelligence are reshaping the business landscape. They give companies the capability to connect with, guide, and care for customers in more efficient ways, resulting in streamlined processes that are less costly to support.

However, AI-powered automations also have a dark side. The same capabilities they provide for improving legitimate operations can also be used by criminals intent on identity theft. The rise of low-cost AI and its use in automations has empowered scammers to widen their nets and increase their effectiveness, leading to a drastic increase in identity theft scenarios.

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As we navigate an increasingly digital landscape, the threats posed by cybercriminals are evolving at an alarming pace. The latest predictions highlight a future where AI-driven technologies, particularly deep fakes, will become more sophisticated, making it challenging for individuals and organizations to distinguish between genuine and malicious entities.

This article explores three critical predictions regarding the future of cyber threats: the rise of hyper-realistic deep fakes, the escalation of browser-based ransomware attacks targeting essential infrastructure, and the growing risk of insider threats in remote work environments. Understanding these trends is crucial for developing effective strategies to safeguard against the next wave of cybercrime.

Sophisticated AI-Driven Deepfakes Will Bypass Traditional Security Measures

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As 2024 comes to an end, we expect to see a new year of innovation and greater adoption of new technologies and an increase in cybersecurity vulnerabilities for businesses. As such the sophistication of cyber security threats will likely rise in 2025 and the proliferation of technologies such as AI will make organizations more prone to falling victim to threat actors.

This is set to be impacted by the cyber skill shortage of 2024 which has been a challenging year with budget cutbacks and layoffs. Other trends that we expect to see are highlighted below.  

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You close out one year, looking for a fresh start on the next. But old content doesn’t just disappear when you hang up a new calendar. There’s always a chance of something in previous data reemerging to challenge the plans you have for the upcoming year. While nothing can completely counter that possibility, enterprise search can help keep tabs on all information, past and present, to mitigate such a risk.

Enterprise search enables instant concurrent searching across terabytes after first indexing the data. A single index can hold up to a terabyte, and there are no limits on the number of indexes enterprise search can create and end-users simultaneously query.

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2024 has been a year of seismic change in the UK, what with a new government coming into power and a budget that will undoubtedly impact the UK’s small to medium-sized enterprises (SMEs) in 2025. So, as we look ahead to next year, what technology trends will lead?

We see several dominant trends: a larger proportion of the workforce returning to the office, the increasing adoption of AI, and a heightened focus on security. Additionally, data sovereignty issues will come to the forefront as organizations worry about where their data resides, and ever-growing compliance requirements will become a business necessity -- no matter the organization's size.

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While enterprise AI adoption boomed in 2024, 45 percent of US employees fear their company does not categorize AI applications based on the risk of potential harm to employees and customers. In the year ahead, business leaders must contend with the real data privacy and intellectual property risks that generative AI poses and chart a more pragmatic path forward.

Here are four trends I see shaping the enterprise technology landscape in 2025:

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The run up to the holiday period is a prime time for cyber attackers as they try to exploit the rise in online activity to launch phishing and spoofing attacks, distribute malware, and create fraudulent schemes.

Online retail brands are a prime target. Last year UK shoppers lost  more than £11.5 million to online scammers between November and January.  However, it’s important to remember that the risks also extend to other industry sectors, as employees may use work devices for last minute festive shopping and other end-of-year activity. Here we explore how scammers take advantage of this annual trend and how to protect against these threats.  

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APIs are the glue that holds together the modern enterprise. As digital transformation projects get the boardroom green light in ever greater numbers, so the infrastructure connecting software, data and experiences has expanded. Yet a potential storm is coming in 2025, as a new wave of agentic AI innovation takes hold in the enterprise. In fact, Gartner predicts over 30 percent of the increase in demand for APIs will come from AI and tools that use Large Language Models (LLMs)by 2026.

Unless organizations can mature their API security posture, next year could be the first time we see an LLM app security breach linked to APIs. And without improved API observability, it won’t be the last.

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Despite decades of technological advancement, email remains the predominant attack vector for cybercriminals, with estimates suggesting that 80-90 percent of cyberattacks originate through email channels. While the cybersecurity industry has made significant strides in other areas, many businesses continue to rely on outdated email security measures that leave them vulnerable to increasingly sophisticated threats. This protection gap demands immediate attention from IT leaders.

Traditional secure email gateways (SEGs) like Mimecast and Proofpoint have served as the backbone of organizational email security for years. Similar to how traditional firewalls operate at network perimeters, these gateways excel at blocking known threats through signature-based detection and basic filtering rules. However, just as modern network security has evolved beyond simple perimeter defenses, email security requires a more sophisticated approach.

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In an era when successful hacks are now an inevitability, too many organizations have a false sense of security when it comes to their data. Unfortunately, cyber criminals are ready and willing to take advantage of this complacency.

Gone are the days when CISOs could simply focus on building up frontline cyber defenses alone. Today’s cyber adversaries are using AI technologies like ChatGPT to augment and elevate the sophistication and effectiveness of their attacks on an industrial scale. Whether that’s automating how they scan for vulnerabilities or initiating highly adaptive attacks that can evade traditional perimeter security measures.

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