Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Domain-name system (DNS)- based cyber attacks are becoming increasingly complex, and AI will only make managing them even more challenging. According to a recent report, Chief Information Security Officers (CISOs) anticipate a tumultuous season of cyber threats, with low confidence in their abilities to defend against them effectively.

Machine identity lifecycle management has evolved beyond a technical implementation challenge to become a fundamental component of enterprise risk management and digital transformation strategy. As a core element of a modern cybersecurity strategy, machine identity management ensures that organizations can effectively protect their digital assets and adapt to evolving threats.

In cybersecurity, the value of vulnerability assessments (VA) is widely acknowledged but not always quantified. For many decision-makers, “just preventing an attack” isn’t a strong enough business case. They want to know: What is the return on investment (ROI)? How does this investment contribute to the bottom-line, reduce business risk, or improve operational performance?

‍TL;DR ‍ Request a Free Demo Today.

Defined by Gartner as the next evolution of breach and attack simulation (BAS), adversarial exposure validation (AEV) is a security solution that continuously assesses how well security controls prevent, detect, and respond to real-world adversarial behaviors—across multiple environments and the entire attack lifecycle.

Having recently reached the 100 day mark of the new administration in the U.S., Snyk thought it important to check in with some of the nation’s CISOs to gauge how they were feeling about the cybersecurity posture of both the nation and their own organizations. In partnership with Researchscape, we surveyed a total of 101 U.S. based CISOs working in Information Security and/or Information Technology who responded to the online survey from April 7 - 21, 2025.

When I started learning about cybersecurity, I thought it was only about firewalls and antivirus software. I didn’t know how fast things change and threats evolve. Whenever I felt like I had a handle on things, something new came in headlines: ransomware, phishing kits, zero-day attacks. It’s a lot. If you work in tech, you’ve probably felt that too. Even if cybersecurity isn’t your full-time job, it still touches everything. And keeping up with everything is not easy.

Let’s be real: 2024 is the year AI went from pilot to policy. And in 2025, it’s not slowing down. Every enterprise I talk to, from high-growth SaaS companies to large-scale global platforms, implements AI internally or embeds it into its products. With that momentum comes a wave of questions: Is this secure? Are we exposing customer data? What will our auditors say? CISOs are now expected to balance innovation with protection, fostering progress while staying ahead of risk.

It’s all over the news: GenAI will fuel a rise in scams and fraud. That’s a big claim, so let’s unpack what it means through the lens of one threat vector in particular: phishing.