Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Preventing IP Theft and Trade Secret Loss in Manufacturing

A manufacturer's most valuable assets rarely sit in a vault. They live in CAD files, chemical formulations, process parameters, supplier contracts, and tooling specifications that move every day between engineers, plants, partners, and contractors. That movement is what makes the business run, and it is also what makes trade secrets easy to lose. A departing engineer copies a design folder. A contractor forwards a spec sheet to a personal account.

AI Security for Autonomous Agents | Cyberhaven Product Launch (Part 1 of 4)

Autonomous AI agents are running on enterprise endpoints right now, accessing files, processing sensitive data, and executing actions outside the visibility of most security programs. This is Part 1 of Cyberhaven's four-part AI Security product launch series. What this video covers: Most AI security tools were built for browsers and SaaS apps. They cannot see agents operating at the OS level, coding assistants running in IDEs and CLIs, or MCP servers executing in the background. Cyberhaven's AI Security platform was built to close that gap.

Shadow AI Discovery: How to Find Every AI Agent in Your Environment | Cyberhaven (Part 2 of 4)

Security teams cannot govern what they cannot see. This is Part 2 of Cyberhaven's four-part AI Security product launch series, focused on Shadow AI Discovery and how Cyberhaven automatically inventories every AI app and agent running across your organization.

Real-Time AI Enforcement Powered by Data Lineage | Cyberhaven (Part 4 of 4)

Visibility without enforcement is just an alert backlog. This is Part 4 of Cyberhaven's four-part AI Security product launch series, covering how Cyberhaven enforces risk-based controls at the data level, not the tool level, using Data Lineage as the foundation.

Agentic AI Visibility and Risk Scoring: What Cyberhaven Sees That Others Miss | (Part 3 of 4)

Knowing an AI tool exists is not the same as knowing what it did with your data. This is Part 3 of Cyberhaven's 4-part AI Security product launch series, covering Agentic AI Visibility and AI Risk IQ, Cyberhaven's evidence-based risk scoring system for every AI app and agent in your environment.

What No One Tells You About Prop Firm Technology and Data Protection

The world of proprietary trading firms has changed dramatically over the past decade. Traders who once relied on phone calls and paper trails now operate inside complex digital ecosystems built on speed, automation, and data. At the center of all of this sits prop firm technology, a broad term that covers everything from trading platforms and risk management systems to the infrastructure that handles your personal and financial information.

The New Reality of Managing Risk in a Digital World

The digital world has transformed how people communicate, work, shop, and manage information. Businesses of every size now rely on digital platforms to serve customers, store data, and operate efficiently. While these advancements bring many benefits, they also introduce new forms of risk. Cybercriminals, data breaches, online fraud, identity theft, and reputation attacks have become common challenges in today's connected environment.

How to Use DLP and DSPM to Support SOC 2 Compliance

SOC 2 audits are won or lost on evidence. When an auditor asks how an organization controls access to sensitive data, prevents unauthorized exfiltration, and monitors for anomalous behavior, the answer has to be documented and defensible. For most security and GRC teams, that answer depends heavily on whether their data security tooling is configured to produce audit-ready outputs, not just enforce policies.

How DSPM Detects Insider Threats Using Data Lineage

Most insider risk programs stall at the same place: they can see what data exists, but not what users are doing with it. Data security posture management (DSPM) tools catalog sensitive files, flag misconfigured permissions, and surface overexposed repositories. What they often cannot communicate is whether that overexposed file was accessed, copied, renamed, and uploaded to a personal cloud account by an employee who put in their resignation last week.

How Modern DLP Enables AI Adoption Without Slowing Down the Business

Organizations are not choosing between AI adoption and data security. Rather, they are discovering, often after the fact, that these two priorities are pulling in opposite directions. The engineering team has been using GitHub Copilot for six months. Finance is running variance analysis through ChatGPT. Legal is pasting contract language into Gemini for redlining. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive.