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Inspirational or industry-leading speech by a featured guest

The cybersecurity landscape is witnessing a dramatic transformation as artificial intelligence becomes increasingly accessible to both defenders and attackers. While organisations rush to implement AI-driven security solutions, cyber criminals are weaponizing the same technology to craft sophisticated phishing campaigns that are proving remarkably effective at bypassing traditional defences. Recent research indicates that AI-generated phishing emails are achieving success rates up to 60% higher than conventional attacks. This alarming trend represents a fundamental shift in the threat landscape, one that security teams are struggling to counter with existing detection methods.

The Evolution of Social Engineering

Every data subject has a right to control how their personal data is handled. From names to IP addresses, these identifiers are power. They can be stolen, sold, profiled, or weaponized. That’s why modern platforms rely on solutions to protect users. If privacy collapses, cybersecurity isn’t just weakened. It becomes irrelevant.

ClearNym works in three steps to protect your personal data online. First, it scans hundreds of data broker and people-search websites to locate exposed personal information, including your name, address, phone number and age. Then using an AI-powered system it coordinates the opt-out and removal process by submitting pre-filled requests to those sites on your behalf. Finally, it continuously monitors for reappearances of your data, ensuring that removed records stay offline, while keeping users informed through progress logs and alerts.

The Seven Principles of Data Protection in Action

The GDPR data protection principles shape the core of modern privacy frameworks. They aren’t abstract theories. They’re rules that protect trust and prevent chaos. Each principle influences cybersecurity infrastructure. Below is a summary of how they intertwine

When Data Protection Is Neglected

Let’s imagine a real breach. A startup collects personal information without data retention policies. It stores all historical records by default. A year later, attackers exploit an old vulnerability. Emails, birthdays, addresses—leaked. The company never needed to retain that much personal data. This breach didn’t start with code. It began with poor data protection principles.

From Data Minimisation to Damage Control

Organizations must only gather personal data for legitimate purposes and must ensure data is accurate and used for specified needs. If purposes change, data must not be processed in a manner incompatible with those purposes. This isn’t just about privacy policies. It’s about cybersecurity hygiene.

Technical and organisational measures work best when paired with policy. Think of a castle with walls but no rules about what enters or stays inside. Collecting unnecessary data or failing to keep data updated creates vulnerabilities. The more you collect personal, the more you expose.