Tech Features

Prioritizing Data Security in the Age of Generative AI

Published

1 year ago

August 2, 2024

By Samer Diya, META Vice President at Forcepoint

In today’s rapidly evolving technological landscape, the integration of generative AI brings with it a wave of innovation and potential. From revolutionizing creativity, enhancing productivity and generally helping people and businesses work even more effectively the implications of technologies powered by AI are vast and far-reaching. However, amidst the excitement lies a pressing concern: the cybersecurity risks that AI can pose to our data.

As security leaders and their teams embrace generative AI for everything from speeding up administrative tasks to pushing strategy into action, the business imperative to prioritize data security everywhere is clear. Generative AI systems, with their ability to process vast amounts of data, present a double-edged sword for companies. While they offer unprecedented capabilities, they also introduce significant security vulnerabilities. Many tools can collect, store and process large amounts of data from various sources – including user prompts. Consider a scenario where an employee may inadvertently disclose sensitive information (such as unreleased financial statements or intellectual property) through a seemingly innocuous prompt. Tools like ChatGPT or Copilot could leak that proprietary data while answering the prompts of users outside of the organization – not only exposing the organization to third-party risks but also amplifying the potential for data leaks.

The AI Transformation & Data Security
The digital transformation ushered in a new era, but a more profound revolution is upon us: the AI transformation. AI is rapidly reshaping entire industries, and data security is no exception. Businesses must adapt their security strategy to accommodate this, as generative AI risks are revealing themselves as multi-faceted threats that stem from how users inside and out of the organization interact with the tools. And amid all of the opportunities presented by these new technologies, the reality is that AI is further amplifying the need for robust data security controls.

Embracing innovation while alleviating the security risks of generative AI broadly lies in three key pillars: employee awareness, security frameworks, and technological solutions.

Employee Education: Educating employees on the safe handling of sensitive information is paramount. It can be easy for employees to overlook or not even think about data risks when using AI tools, so by raising awareness about the risks associated with generative AI and implementing clear guidelines for data usage, businesses can mitigate the likelihood of accidental data exposure. Security leaders must ensure employees understand what information can and can’t be shared with AI tools, while also informing users of the risk in malware and phishing campaigns that can result from generative AI.
Security Frameworks: Developing company-wide guidelines or frameworks on working with approved AI tools and eliminating shadow IT usage of AI can help users make the right decisions from the start. At a global level, establishing best practices for AI is a challenge because of how quickly the technology is continuing to develop, but a number of countries are continuing to develop frameworks and guidelines.
Prioritizing Data Security Everywhere: Securing data wherever it resides is a business imperative today. Traditional Data Loss Prevention (DLP) capabilities are super powerful for their intended use cases, but with data moving to the cloud and dispersed amongst tools, it is now clear that DLP capabilities also need to evolve while extending abilities and coverage. Cloud-native DLP solutions offer a holistic approach to data security, ensuring compliance and protection across diverse environments. By prioritizing unified enforcement to extend data security across key channels, cloud-native DLP streamlines out-of-the-box compliance and provides enterprises with industry-leading cybersecurity wherever data resides – essential for safeguarding the AI era.

Additionally, leveraging innovations such as Data Security Posture Management (DSPM) solutions further enhance data protection capabilities. The sheer volume and complexity of data can be overwhelming – but AI-powered DSPM solutions such as Forcepoint DSPM equip businesses with unmatched accuracy to help security leaders identify and remediate data risks proactively, bolstering their security posture in real-time. At Forcepoint, our commitment to data security extends beyond mere protection – it’s about empowering organizations to thrive in an era of unprecedented digital transformation.

A Unified Approach
Platforms that combine technologies like DSPM and DLP into a unified solution that prioritizes data security everywhere are ideal – bridging security capabilities wherever data resides. At Forcepoint, our Data-first approach to security offers a comprehensive solution for securing data across all channels – enabling organizations to confidently integrate generative AI with full, real-time visibility and control.

Establishing security frameworks that prioritize data security everywhere is integral for organizations looking to navigate the AI transformation with confidence. The advent of generative AI heralds a new era of innovation and possibility, but, with great power comes great responsibility – and it’s incumbent upon businesses to prioritize data security in this evolving landscape. By embracing a proactive approach to cybersecurity and leveraging innovative solutions, organizations can unlock the full potential of generative AI while safeguarding their most valuable asset – their data.

Tech Features

Sustainable AI Practices Driving Ethical and Green Tech

Published

1 month ago

August 12, 2025

Integrator Web-Editor

By Mansour Al Ajmi, CEO of X-Shift

Sustainable AI practices are no longer optional—they are essential for shaping technology that benefits both people and the planet. As artificial intelligence transforms industries from healthcare to transportation, the challenge is to ensure its growth is ethical, environmentally responsible, and socially inclusive. This means addressing not only energy efficiency and carbon reduction but also governance, fairness, and long-term societal impacts.

Why Sustainable AI Practices Go Beyond the Environment?

AI is now deeply embedded in investment strategies, medical diagnostics, media platforms, and public infrastructure. While reducing energy usage is vital, true sustainability also requires ethical governance and the elimination of bias.

For example, biased training datasets can unintentionally reinforce social inequality. Studies, such as those from the MIT Media Lab, have shown that some AI systems perform poorly with diverse populations, highlighting the risk of discrimination. Addressing this means conducting regular algorithmic audits, enforcing transparency, and ensuring diverse representation in AI development teams.

The Environmental Impact of AI

Training advanced AI models consumes enormous computational resources. The process can generate carbon emissions equivalent to hundreds of long-haul flights. To counter this, tech leaders are investing in renewable energy and designing energy-efficient processors and cooling systems.

However, sustainable AI practices should become the default, not the exception. From sourcing materials responsibly to rethinking hardware infrastructure, the focus must be on green innovation by design.

Embedding Sustainability at the Strategic Core

Sustainable AI practices work best when integrated into an organization’s core strategy. Aligning AI solutions with the UN’s Sustainable Development Goals (SDGs) can directly support climate action, reduce inequalities, and promote responsible consumption.

In the Middle East, initiatives like Saudi Arabia’s Vision 2030 and the UAE Strategy for Artificial Intelligence demonstrate how sustainability and AI can align with national priorities. These strategies not only meet ethical standards but also deliver competitive advantages, building consumer trust and fostering innovation.

Governance for Responsible AI

Strong governance is key to ensuring sustainable AI practices are upheld. Regulatory frameworks, such as the European Union’s AI Act, guide transparency, accountability, and fairness.

Governance should enable innovation while preventing harm. Public-private partnerships, global cooperation, and industry alliances are critical to creating ethical, scalable, and resilient AI ecosystems.

Preparing the Workforce for the AI Era

McKinsey estimates that AI adoption could displace up to 800 million jobs by 2030. Sustainable AI practices must include reskilling and upskilling initiatives to ensure inclusive economic growth.

By investing in training programs, organizations can help employees transition to new roles in AI-related fields. This proactive approach strengthens workforce agility and supports long-term resilience.

Leadership’s Role in Driving Sustainable AI Practices

AI can significantly advance sustainability goals, from optimizing supply chains to reducing environmental waste. Companies like Unilever are already using AI to achieve greener operations, proving its real-world potential.

Yet leadership commitment is essential. Executives must set measurable goals, model ethical behavior, and integrate sustainability into company culture. This ensures that sustainability is not a side project but a core business value.

The Shared Responsibility for a Sustainable AI Future

Creating a sustainable AI future requires collaboration between individuals, corporations, and governments. Citizens should stay informed and question how AI affects them. Companies must embed sustainability into their AI strategies, while governments need to establish policies that encourage responsible innovation.

By acting now, we can ensure AI evolves as a force for good—advancing technology without sacrificing ethics, equity, or environmental stewardship.

Check out our previous post on WHX Tech 2025 to Drive Global Digital Health Transformation

Tech Features

Epicor CMO Kerrie Jordan to Drive Global Marketing Growth

Published

1 month ago

August 12, 2025

Integrator Web-Editor

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Kerrie Jordan - Epicor — Kerrie Jordan – Epicor

Epicor CMO Kerrie Jordan has been appointed to lead the company’s global marketing strategy. This move marks a pivotal moment in the enterprise software leader’s expansion. Epicor, known for its industry-specific solutions for the make, move, and sell economy, announced the news on August 12, 2025, in Dubai.

Jordan brings a rare combination of senior product innovation and strategic marketing expertise. She will strengthen the Epicor brand, expand market reach, and deepen customer engagement worldwide.

Epicor CMO Kerrie Jordan Brings Product and Market Expertise Together

Vaibhav Vohra, Epicor President and Chief Product & Technology Officer, eVaibhav Vohra, Epicor President and Chief Product & Technology Officer, emphasized the importance of the appointment.

“Kerrie’s ability to connect product strategy with market execution makes her an ideal fit. Her leadership has already shaped our Cognitive ERP vision, and we’re excited to see her bring that same energy and insight to our marketing efforts.”

Since joining Epicor in 2023 as Group Vice President of Product Management and ISV Partner Programs, Jordan has advanced the company’s Cognitive ERP roadmap. This AI-driven approach turns ERP from a system of record into a system of action and insight, empowering supply chain businesses to operate smarter and faster.

A Vision for Accelerated Innovation and Growth

In her new role, Jordan will unite product innovation, analytics, and go-to-market strategies to accelerate customer time-to-value. She will also foster innovation and support Epicor’s global expansion.

“I’m honored to expand my role at Epicor,” Jordan said. “Epicor is at the forefront of enabling essential businesses to thrive through AI-driven, connected technologies. I look forward to amplifying our impact, building stronger relationships with customers and partners, and driving growth across global markets.”

A Career Built on Technology Leadership

Before joining Epicor, Jordan served in senior product marketing positions at Oracle. She developed strategies for enterprise software solutions and helped drive adoption. Earlier in her career, she led strategic marketing programs for technology clients during her consulting roles at global marketing firms.

Jordan is a recognized voice in cloud ERP, digital transformation, and supply chain innovation. She hosts Epicor’s “Manufacturing the Future” podcast, which features industry leaders discussing trends shaping manufacturing and supply chain sectors. She is also a Forbes Tech Council contributor. Jordan holds a Bachelor of Science in Marketing from Santa Clara University in California.

Epicor’s Commitment to Industry-Focused Growth

Epicor has served customers across automotive, building supply, distribution, manufacturing, and retail for more than 50 years. The company’s solutions are tailored to industry needs and adaptable to fast-changing market conditions.

Check out our previous post on WHX Tech 2025 to Drive Global Digital Health Transformation

Tech Features

In-Hand Comfort Meets Elegant Design – A UI You’ll Love and Performance You Can Count On– Meet Oppo’s Reno 14 Series!

Published

1 month ago

August 11, 2025

Integrator Web-Editor

Oppo Reno 14 Series promotional collage highlighting design and performance

Reviewed By Srijith KN
Device Reno 14F 5G

In today’s crowded smartphone market, very few devices make a lasting impression from the first hold. The Oppo Reno 14 Series does exactly that. Its rounded front design, sharp edges, and striking Iridescent Mermaid finish give it a premium look that stands out. At just 7.42 mm thick and 187 g, with aluminium-framed edges, it feels light yet sturdy in the hand.

The 6.57-inch LTPS OLED display offers a 120 Hz Full HD+ experience with HDR10+ support and a peak brightness of 1,200 nits. While the brightness could be slightly higher, the rich colour tones make it ideal for streaming and gaming. The high refresh rate ensures smooth scrolling and responsive visuals.

Display & Performance in the Oppo Reno 14

Powered by the Snapdragon 6 Gen 1 mobile platform, paired with 12 GB of RAM and 512 GB of UFS 3.1 storage, the Oppo Reno 14 Series delivers fluid performance. Everyday tasks, multitasking, and gaming feel effortless. Even after a month of use, there’s no lag, and the phone remains cool under pressure.

The signal reception is equally reliable, performing well even in remote mountain regions. For gamers, the combination of smooth frame rates and strong connectivity makes it a dependable choice.

Camera Setup Built for Creativity

The Oppo Reno 14 Series brings a 32 MP front camera and a triple rear camera system (50 MP + 8 MP + 2 MP). It supports 4K 60 fps HDR video recording, delivering sharp and vibrant footage. Oppo’s image processing handles lighting well, although the AI can occasionally produce slightly artificial tones. When it dials back the processing, the results are impressively natural.

Selfies from the front camera are detailed, making it a strong option for content creators. AI-powered tools such as AI Eraser, AI Reflection Remover, AI Unblur, AI Recompose, and AI Perfect Shot add versatility. Beyond photography, features like real-time translation and cloud-based voice transcription offer extra value.

Battery Life & Charging Speed on the Oppo Reno 14

Battery performance is one of the standout features. The massive 6,000 mAh battery easily lasts over a day of heavy use. Paired with 80 W fast charging, it goes from 0% to 100% in just 40–50 minutes, reducing downtime significantly.

Software and User Experience

Running on ColorOS 15, the interface is polished and responsive. The design is intuitive, though it comes with pre-installed apps that many users may want to remove for a cleaner setup. The combination of IP69 water and dust resistance, strong haptics, and a promised five years of major updates enhances its long-term value.

Verdict: A Strong Contender in Its Price Range

The Oppo Reno 14 Series blends premium design, solid performance, long battery life, and camera versatility into a package that offers excellent value. Whether for everyday use, creative projects, or gaming, it meets a wide range of needs without compromise.

For readers who enjoyed this review, check out our previous feature on Sustainable Tech: How Globant Shapes a Greener Tomorrow to see how innovation is shaping the tech industry.