Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As 2025 approaches, cybersecurity leaders are bracing for a year of intensifying challenges. Regulations are tightening, nation-state attackers are refining their strategies, and CISOs are under growing pressure. Aleksandr Yampolskiy, Co-Founder and CEO, Jeff Le, VP of Global Government Affairs and Public Policy, and Steve Cobb, CISO, all from SecurityScorecard, bring sharp focus to what lies ahead. What worked in 2024 may not protect you in 2025.

The General Data Protection Regulation (GDPR) of the European Union and the California Privacy Rights Act (CPRA) represent landmark regulations designed to protect consumer data privacy. While GDPR became enforceable in May 2018, CPRA came into effect in January 2023, building on its predecessor, the California Consumer Privacy Act (CCPA). Both laws aim to empower individuals with greater control over their personal data while imposing rigorous obligations on businesses.

We’ve had a lot to celebrate at Nucleus this year, with today’s news being the being one of our most significant achievements of the year. Speaking for the whole company, we are proud to have been named to the Deloitte Technology Fast 500, a ranking of the 500 fastest growing technology companies in North America for 2024, and for the recognition of our 1,562% growth over the past three years.

In an era where data breaches, privacy violations, and regulatory fines dominate headlines, the need for robust privacy engineering has never been more critical. Yet, despite its growing prominence, privacy engineering is failing to meet the demands of businesses and consumers alike. To understand why, let’s explore what privacy engineering is, the challenges it faces, why its current state is insufficient, and the transformative shift needed to make it truly effective.

While most security teams now have systematic processes in place for identifying vulnerabilities and responding to targeted threats, large-scale security incidents that affect many organizations globally are now an increasingly common occurrence. The Crowdstrike outage in July, while not specifically a security incident, demonstrated how targeted breaches or failures in our security infrastructure can have a ripple effect across entire industries and disrupt critical aspects of everyday life.

Attack surfaces in the cloud are expanding at a breakneck pace. Cloud security has reached an unprecedented level of complexity — ranging from misconfigurations and vulnerabilities to advanced threats and compliance challenges, all while malicious actors are increasingly using generative AI to target your cloud infrastructure.

In 2024, cyber threats are evolving fast. Attackers are using advanced tools like AI-powered malware, ransomware-as-a-service models, and targeted supply chain attacks that can get past traditional security measures. To fight these threats, security teams need tools that can move faster than attackers, giving them a clear view and coordinated responses across their IT ecosystem.

As a modern CTO, it should probably come as no big surprise that I’m an optimist on the innovative prospects of artificial intelligence (AI). But I’ve been in this career for a long time, and that optimism is tempered with experience. I’ve seen enough emerging technology patterns to know that it always takes a lot more time and resources than people think to evolve innovative technologies beyond their final barriers.