Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Legacy Data Loss Prevention (DLP) Fails: Insights from Cyberhaven's VP of Sales Engineering, John Loya

Confronted with a rise in sensitive data breaches, businesses are under pressure to efficiently protect their information while overcoming myriad technical limitations. In a recent video, Jon Loya, VP of Sales Engineering at Cyberhaven, shared valuable insights on the challenges of data loss prevention (DLP) and introduced Cyberhaven's cutting-edge strategies for tracking sensitive data within organizations.

The Data Volume & Visibility Crisis in Cybersecurity

Enterprises are drowning in data — and struggling to see what really matters. The explosion of data volume has created a visibility crisis that makes it harder than ever to protect sensitive information and stop insider threats. In this short video, we explain why traditional tools can’t keep up, what makes visibility so critical, and how organizations can regain control over their data. Watch now to learn.

How Cyberattacks Drive Customers Away (and Damage Trust)

A data breach doesn’t just cost money — it costs customers. Trust is hard to win and easy to lose, and cyberattacks often push loyal customers to walk away. In this short video, we explore how cyber incidents lead to customer churn, the hidden cost of lost trust, and why protecting sensitive data is critical to retaining your customer base. Watch now to learn: How cyberattacks impact customer trust and loyalty.

Why Legacy DLP Fails and What Cyberhaven Does Differently - Full Video

In this lightboard session, we break down how organizations classify and protect sensitive data—and why traditional methods fall short. You’ll see how Cyberhaven reimagines data security with lineage-based protection that works across files, systems, and formats. Watch to learn: The difference between data maps, tags, and labels The limitations of legacy classification (persistence & breadth)

What is Phishing?

What exactly is phishing—and how can you avoid falling for it? In this video, we break down phishing attacks in plain terms, from classic email scams to newer tactics like smishing, vishing, and even quishing (yes, phishing via QR code!). You’ll learn how to spot the warning signs, understand the real-world consequences of falling for a phishing attempt, and discover simple yet powerful ways to protect yourself and your organization.

What is an Insider Threat?

Insider threats are one of the most underestimated cybersecurity risks facing organizations today—and they’re coming from the inside. In this video, we break down exactly what insider threats are, the different types (including malicious, negligent, and compromised insiders), and why they’re so hard to detect. You’ll also hear about real-world examples like Edward Snowden and the Capital One breach, and learn how businesses can protect themselves with practical, real-world strategies.

What are False Positives?

What are false positives in cybersecurity — and why do they matter? In this video, we break down the concept of false positives: those annoying alerts that cry wolf when there’s no real threat. You’ll learn how they happen, the difference between false positives and false negatives, and the hidden costs they create for security teams. We’ll also walk through real-world examples, explore how false positives impact SOC efficiency, and share practical strategies to reduce them using better configurations, machine learning, and smarter alert triage.

Reimagining Data Security: Four New Capabilities That Make Protection Smarter, Faster, and Easier

Enterprise data has become nomadic. What once lived safely behind corporate firewalls now travels across dozens of cloud applications, gets copied into collaborative documents, flows through AI tools, and transforms as employees work from coffee shops, home offices, and airport lounges.

America's AI Action plan has arrived: 3 key takeaways that data security leaders need to know

On July 23rd, the White House released America’s AI Action Plan, a sweeping federal strategy to drive U.S. leadership in artificial intelligence. The message was loud and clear: AI is a national imperative. The plan calls for removing regulatory barriers, investing in infrastructure, and accelerating AI adoption across commercial and government sectors. For data security leaders, this signals a pivotal shift.