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With a TraceCyberhaven Engineering

With a Trace

Published date:
1/12/2026

DSPM for AI: Securing Data in the Age of Artificial Intelligence

Organizations across industries are adopting AI at a rapid pace. From utilizing this newer technology to process data and conduct business-critical tasks to individual employees experimenting with Gen-AI to enhance their workflows, artificial intelligence now touches multiple points of an organization's operations.

1/12/2026

The Biggest Insider Risk Gaps You Probably Haven’t Thought About

When most security teams think about insider risk, they immediately picture the malicious actor: the disgruntled employee downloading a customer list before quitting, or the rogue developer leaking source code to a competitor. Those scenarios are real and dangerous, but while malicious insider activity gets the most attention, the greater and more persistent risk comes from well-intentioned employees whose routine actions and blind spots accidentally put sensitive data at risk — often without anyone realizing it.

1/8/2026

IRM in the Real World: Why Culture Is Just as Important as Controls

In security, we love to talk about tools. Detection engines, behavioral analytics, identity governance platforms, and data classification tags. We invest millions in building systems that can track, monitor, and block unauthorized activity. And when it comes to insider risk, many organizations respond by doubling down on controls implementing tighter access permissions, more restrictive policies and stricter monitoring.

1/5/2026

The ROI of Modern DLP Solutions: Why It’s Worth the Investment

Every security leader is tasked with a difficult balancing act: reducing risk while controlling cost. Cybersecurity budgets aren’t unlimited, and executive teams demand clear justification for every new tool. Data loss prevention (DLP) has often struggled to prove its value in this context. Traditional solutions were expensive to deploy, noisy in practice, and often delivered more frustration than measurable protection.

1/2/2026

Anatomy of an Insider Threat Investigation: From Alert to Remediation

It usually begins with something small. A flagged data transfer, an alert from your insider risk platform, or even a report from IT that a departing employee downloaded a large number of files. The signs can be subtle, often buried in the noise of daily digital activity. But make no mistake – what happens in the next few hours determines whether this becomes a minor blip or a full-blown cybersecurity crisis.

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12/29/2025

From Compliance to Cyber Resilience: The Real-World Benefits of DLP

For many organizations, data loss prevention (DLP) has historically been viewed through the narrow lens of compliance. Regulations like PCI DSS, HIPAA, and GDPR forced companies to prove they had controls in place to protect sensitive information. DLP was the obvious answer—a way to prevent credit card numbers, Social Security information, or personal health data from leaving the organization in unauthorized ways. In that framing, DLP was deployed to satisfy audits, not reduce risk.

12/23/2025

Is Your Organization DLP-Mature? Here’s How to Find Out

Every organization knows that protecting sensitive data is important. But knowing you should protect data and actually having the people, processes, and technology in place to do it well are two very different things. Too often, data protection programs evolve reactively—driven by the latest regulatory deadline or the aftermath of a near-miss incident. The result is a patchwork of policies and tools that create a false sense of security without delivering true resilience.

12/22/2025

How to Build an Effective Insider Risk Management Program

Insider threats have become one of the most difficult and damaging challenges in cybersecurity. Unlike external attackers, insiders already have access to sensitive data and systems. Their actions often appear legitimate until it’s too late. Whether it’s a malicious employee stealing intellectual property or a well-meaning one accidentally leaking customer information, insider incidents are complex, nuanced, and often invisible to traditional security tools.

12/18/2025

Detecting and Stopping Data Exfiltration in Real Time

Data exfiltration is no longer limited to elite external hackers — it’s a common occurrence in everyday business operations. Employees share files externally, upload documents to personal cloud accounts, copy source code to USB drives, or paste sensitive text into browser-based AI tools. Most of the time, these actions are unintentional. But whether careless or malicious, the result is the same: data leaves the organization’s control, and the risk of IP loss, regulatory exposure, or other consequences grows.

12/18/2025

Why Data, Not the Perimeter, Should Be the Core of Your Security Strategy

For decades, enterprise security strategy revolved around a simple assumption: if you could build a strong enough perimeter around your network, everything inside would remain safe. Firewalls, intrusion prevention systems, and VPNs became the bedrock of corporate defenses. The perimeter was the castle wall, and sensitive data lived safely inside.

12/17/2025

Achieving Data Confidence: Mission Australia Strengthens Data Protection with Cyberhaven

Mission Australia is one of Australia’s largest, most trusted community service and housing providers. The Christian charity delivers safe, secure homes and excellent community services while advocating for a fairer Australia, to meet the growing needs of people across the country. Together, Mission Australia is building hope and possibility for all.

Security best practices
12/16/2025

How Cyberhaven Uses Data Lineage to Revolutionize DLP

The concept of data loss prevention (DLP) is simple: stop sensitive information from leaving your organization through unauthorized channels. But in practice, traditional DLP solutions struggle to deliver on that promise. They rely on rigid rules, limited visibility, and a shallow understanding of how data is actually used. The result is missed threats, noisy alerts, and frustrated security teams.

12/12/2025

From Shadow IT to Shadow Data: The New Frontier in DLP

For years, CISOs and IT leaders have been working to reign in shadow IT. While the industry has developed methods to discover and control rogue infrastructure, another elusive and dangerous threat has emerged: shadow data.

Security best practices
12/11/2025

Top Ten Data Security Trends To Prepare For in 2026

The data security landscape is reaching an inflection point. In 2026, the question won't be whether your security stack can detect risks; it will be whether it can predict, prevent, and adapt to them in real time.

Security best practices
12/8/2025

DLP Compliance Guide: Meeting HIPAA, GDPR, & PCI Requirements

Compliance and data protection are inseparable in today's digital-first world. With increasing regulatory scrutiny, expanding privacy laws, and growing customer expectations around data stewardship, organizations can no longer afford to treat compliance as a checkbox exercise.

12/2/2025

How Generative AI is Changing the DLP Landscape

Generative AI has revolutionized productivity, but it has also introduced a new class of data risk that legacy DLP tools simply can’t see. From engineers pasting source code into ChatGPT to marketers rewriting strategy docs, sensitive IP is leaving the browser through "Shadow AI" channels daily. Learn why traditional pattern matching fails against LLMs and how a data lineage approach secures AI usage without halting innovation.

Security best practices
11/21/2025

How AI Companies Can Use Data Lineage To Stop IP Theft — And Win When It Goes To Court

11/20/2025

AI Is the Future of DLP—Here's What That Actually Means

Artificial intelligence (AI) has become the defining technology of our era, transforming industries from healthcare to finance to manufacturing. In the world of cybersecurity, AI is no longer just a buzzword—it's rapidly becoming the backbone of how organizations defend themselves against threats that evolve faster than human analysts can keep up. Nowhere is this more evident than in data loss prevention (DLP).

Security best practices
11/18/2025

Insider Threats in the Age of AI: What Security Teams Need to Know

Artificial intelligence has gone from buzzword to business tool almost overnight. Employees are rapidly adopting platforms like ChatGPT, Gemini, and Copilot to draft content, analyze data, brainstorm code, and accelerate productivity. But as AI becomes embedded in everyday workflows, a new category of insider threat is emerging—one that is harder to detect, harder to classify, and potentially more damaging than anything security teams have faced before.

Industry news
11/14/2025

AI-orchestrated espionage is here. Your data controls decide what happens next.

Anthropic has just disclosed what appears to be the first fully documented case of AI-orchestrated cyber espionage. A Chinese state-backed group used Claude Code to automate most of a campaign targeting approximately 30 organizations across the tech, finance, chemicals, and government sectors. In several cases, they got in and stole sensitive data.

Cyberhaven news
11/4/2025

Data Security Posture Management

Today's data sprawls across the cloud, on-prem, and endpoints. Data lives everywhere, but the biggest challenge isn't just knowing where data resides across the organization. Security teams must understand what the data represents, identify what’s at risk, and protect it in real time.

Security best practices
10/28/2025

Browser Agent Security Risk – ChatGPT Atlas Corporate Adoption Trends

Last Tuesday, October 21st, OpenAI released ChatGPT Atlas, an AI-powered browser that allows users to interact with ChatGPT directly from any browser tab. Throughout last week, the Cyberhaven Labs team tracked its adoption in corporate environments and actively investigated its security vulnerabilities.

10/14/2025

Shadow AI and the New Data Defense Paradigm: Insights from Our Data Defense Forum

Last month, we brought together some of the brightest minds in cybersecurity for our Data Defense Forum event. As someone who's been in the trenches of data security for years, I walked away from these conversations with a renewed sense of urgency and optimism about where we're headed.

Industry news
10/9/2025

Pure‑Play DSPM Vendors: What’s their second act?

CSPM tools thrived by making cloud posture issues easy to find, but posture alone didn’t stop breaches. The market evolved into CNAPP – uniting posture, runtime, identity, and shift‑left – to deliver protection, not just visibility. DSPM is on the same trajectory: discovery and classification at rest are necessary but insufficient, especially as AI fragments data into shareable snippets that evade label‑centric controls. The next act for DSPM requires lineage‑driven protection anchored on proven endpoint telemetry, correlated across cloud and SaaS, with real‑time coaching for people and agents.

9/9/2025

What Every CISO Should Know About How DLP Actually Works

For most CISOs, data loss prevention (DLP) has long been a familiar acronym. It’s a category of security technology that has been around for more than a decade, often associated with compliance and the need to keep regulated data under control. Yet while the concept sounds straightforward—preventing sensitive data from leaving the organization—the reality is that modern DLP platforms are far more sophisticated than their early predecessors. Understanding how these platforms actually work is critical for CISOs who need to make informed decisions about deploying, tuning, and operationalizing them across their organizations.

Guide

The 15 Top Data Detection and Response UseCases

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