Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

DPDP Compliance in 2026: The Complete Guide for Tech Leaders

If you run engineering, security, or compliance at an Indian tech company, DPDP compliance is knocking at your door fresh and clean in less than a year. Our aim is not to present scary statistics but to help you recognize the urgency of the matter and become DPDP compliant at the earliest. Since this law safeguards a nation’s data, the DPBI can thus stack penalties across multiple contraventions in a single incident. So stop debating whether the law applies to you; it almost certainly does.

DSPM Is a Live Map of Your SENSITIVE DATA - Not a Quarterly Scan

In this video, you will learn why agentic browsers like ChatGPT Atlas, Perplexity Comet, and Arc have turned the browser into a double agent inside your enterprise, how shadow adoption is bypassing MDM and endpoint controls in days, and why indirect prompt injection creates an attack surface your file-based DLP cannot see. You will also learn how data lineage replaces noisy content inspection with origin-and-destination tracking, so you can stop the leak without blocking the tools your business depends on.

AI Security for Healthcare: How to Protect PHI When Employees Use GenAI Tools

Clinicians are pasting patient summaries into ChatGPT to draft discharge instructions. Billing staff are uploading claim data to AI writing tools to speed up appeals letters. Nurses are using consumer AI assistants to look up drug interactions between patient visits. None of this was approved by the security team, and most of it would surprise the compliance officer.

How technology and new laws are merging AI and data protection

The rapid development of artificial intelligence poses a complex dilemma for businesses: how to harness the enormous potential of neural networks without compromising user privacy? To successfully navigate this technological landscape, companies require strong technical expertise. Experts from the AI service company Data Science UA help businesses intelligently integrate machine learning algorithms and AI agents, balancing innovation with strict information security requirements.