This is part of our Data Privacy Day series.
In an era defined by rapid digital transformation and artificial intelligence (AI) innovation, the stakes for data privacy have never been higher. The growing complexity of cybersecurity threats, combined with evolving regulatory demands, means organizations must adopt a proactive, privacy-first mindset to protect sensitive information and build trust with customers and employees alike.
But achieving meaningful data privacy isn’t as simple as following a checklist—it’s about embedding privacy into every layer of technology, strategy, and culture. Here’s how leading experts across industries are navigating this critical challenge and shaping the future of data protection.
AI’s Double-Edged Sword: Innovation and Risk
AI is revolutionizing industries, from enhancing security operations to powering workplace communication tools. However, its rapid adoption comes with significant risks. For instance, AI-driven tools like Video Surveillance as a Service (VSaaS) are setting new benchmarks for threat detection but also raising concerns about how data is collected, analyzed, and stored.
"AI’s impact on data privacy and security will continue to grow, transforming how we analyze data, detect threats, and safeguard information," says Freddy Kuo, Chairman of Luminys. "Innovations like VSaaS are leading the way, setting new standards for security and efficiency."
However, Kuo emphasizes the importance of privacy-by-design principles, which integrate privacy safeguards into every step of product development. "A resilient framework that prioritizes simplicity, control, and a commitment to safety empowers users to protect their data while fostering trust and confidence," he adds.
Beyond Compliance: The Human Element in Data Privacy
While technology plays a pivotal role, human behavior often remains the weakest link in data security. Sensitive information is frequently compromised in public spaces like cafes, airports, and even virtual meetings.
"Sometimes, adversaries don’t need advanced tactics—they just need to listen," warns Richard Bird, Chief Security Officer at Traceable AI. "Even individuals with the best password practices can inadvertently share sensitive information in public spaces."
Bird highlights the importance of common sense in maintaining data privacy. "Don’t just follow best practices on your network—be aware of your surroundings. Consider meeting privately when discussing sensitive information. Even the strictest compliance laws won’t protect against poor judgment."
The Edge Infrastructure Challenge
As businesses extend their operations to the edge—branch offices, remote work environments, and IoT devices—data privacy risks multiply. This decentralized infrastructure often lacks the robust security measures found in traditional data centers.
"Organizations need a comprehensive security framework that addresses vulnerabilities while staying within budget," explains Bruce Kornfeld, Chief Product Officer at StorMagic. He also stresses the critical role of encryption. "If bad actors breach your security, strong encryption policies can ensure the data they retrieve is unusable, maintaining customer privacy."
Operational Security: Cutting Through the Noise
A deluge of alerts and false positives has overwhelmed security teams, leaving organizations vulnerable to missed threats. For businesses, reducing noise in their Security Operations Centers (SOC) is essential to improving response times and strengthening their overall security posture.
"Alert fatigue leads to overlooked threats, breaches, and compromised data," says Keith Palumbo, Co-founder and CEO of Auguria. "By prioritizing meaningful data and reducing noise, organizations can accelerate their security readiness, ensuring better protection for sensitive information."
Frontline Workers: The Overlooked Vulnerability
Frontline industries often rely on outdated communication tools like pen-and-paper systems or unsecure messaging platforms, leaving workers vulnerable to data breaches. These gaps are especially dangerous in industries like healthcare, retail, and logistics, where sensitive information is routinely handled.
"As AI becomes integrated into workplace technologies, it’s essential to invest in privacy-compliant solutions that address the unique needs of frontline workers," advises Cris Grossmann, CEO of Beekeeper. "Protecting employees' personal data empowers them to perform with confidence, knowing their information is handled responsibly."
The Role of Trust in Smart Cities and Digital Transit
As smart city initiatives and digital transit systems grow, service providers in sectors like mass transit face increasing pressure to safeguard sensitive data such as payment details and travel patterns. Emerging regulations like the California Privacy Rights Act (CPRA) demand not just compliance but a deeper cultural commitment to privacy.
"Service providers must move beyond compliance and embrace a privacy-first mindset," says Konrad Fellmann, Chief Information Security Officer at Cubic Corporation. "Privacy isn’t just a legal obligation; it’s a fundamental aspect of ethical business. As smart cities evolve, privacy must be at the heart of every step."
Evolving Threats and the Future of Privacy
Outdated privacy laws in the United States are another obstacle. These regulations often fail to account for modern threats and emerging technologies, leaving organizations reliant on antiquated methods that no longer suffice.
"Organizations must invest in up-to-date solutions that protect data at its core," stresses Clyde Williamson, Senior Product Security Architect at Protegrity. "Encryption, tokenization, data masking, and anonymization are essential for keeping sensitive data out of the hands of bad actors."
Similarly, Joe Silva, CEO of Spektion, calls for a proactive approach: "Traditional risk management reacts to breaches rather than preventing them. Companies must adopt measures that identify vulnerabilities before they are exploited to ensure a risk-free environment."
The Path Forward: Privacy by Default
To meet the challenges of the digital age, businesses must prioritize privacy as a default feature—not an afterthought. This involves adopting cutting-edge technologies, fostering a culture of security, and empowering users through transparency and education.
As Kuo of Luminys puts it: "This isn’t just about compliance—it’s about fostering trust and confidence in every interaction. By leveraging AI-driven advancements with precision, efficiency, and impact, we can build a more secure future for all."
In the AI-driven era, privacy isn’t just a technical problem—it’s a societal imperative.