Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Prompt Data Leakage: How to Secure Sensitive Data in LLMs

As generative AI adoption surges, so does a dangerous new enterprise risk: AI prompt data leakage — the unintentional exposure of confidential corporate data to third-party Large Language Models via user prompts. Why does it happen? Driven by productivity pressure and the need to speed up their work, employees routinely bypass traditional DLP controls.

What is Compliance Monitoring? Challenges, Solutions, Tools

As data privacy frameworks expand and operational risks evolve, security leaders and compliance officers face an ongoing challenge: Maintaining total visibility across employee activity, sensitive data, and internal controls without slowing down business operations. Compliance monitoring bridges the gap between policy and practice, giving organizations the proactive foresight needed to detect risks before they trigger costly violations.

What is Endpoint Monitoring? Tools, Processes, Challenges

The traditional network perimeter is dead. In an era of hybrid work, cloud proliferation, and sophisticated insider threats, every laptop, server, and remote device connected to your system represents a potential attack vector. Endpoint monitoring has become an indispensable baseline for enterprise security, providing security leaders with continuous visibility into employee and device activity.

Data Exfiltration Forensics: How to Trace Stolen Data

By the time you realize what’s missing, it’s already gone. That’s the brutal reality of data exfiltration, the unauthorized transfer of sensitive data from a system or network to an external destination. And it’s happening more often than you think. It’s now the leading form of insider threat in the U.S., accounting for 62% of all such cases.

Where Insider Risk Programs Actually Begin

The first conversations are senior level for a reason. Before you touch a single alert, you define the remit, set the scope, and decide which data and telemetry the program will process. Security leaders walk through how to scope an insider risk program before you build it. From The Insider Risk Authority Series by Teramind. Subscribe for more conversations with security leaders on managing insider risk. Learn more at teramind.co.

Insider Risk Is Not Just a SOC Problem

A working insider risk program pulls in more than the security team. HR, existing cyber teams, and the SOC all own a piece of it, and each becomes a critical stakeholder from an IRM standpoint. Security leaders map out who actually needs a seat at the table. From The Insider Risk Authority Series by Teramind. Subscribe for more conversations with security leaders on managing insider risk. Learn more at teramind.co.

Building a Separate SOC for Insider Risk?

Standing up a whole new entity for insider risk creates friction with the teams you already have. The smarter path is to ramp up with the right expertise, then transition insider risk into standard operating process inside your existing operations center. Security leaders break down why a "second SOC" rarely survives contact with reality. From The Insider Risk Authority Series by Teramind. Subscribe for more conversations with security leaders on managing insider risk. Learn more at teramind.co.

Departing Employees Are the Insider Threat You Are Missing

Departing users sit on your most valuable data with active access, and that makes them a heightened risk. Point existing technology at that behavior and you surface quick wins fast, which spurs the wider discussion across the business. Security leaders explain why departing users are the clearest place to start. From The Insider Risk Authority Series by Teramind. Subscribe for more conversations with security leaders on managing insider risk. Learn more at teramind.co.

6 AI Insider Threat Monitoring Tools for GenAI Risks

Organizations have spent years hardening their perimeters against external attackers. Yet some of the most damaging breaches today originate from within. Insider threats — whether from disgruntled employees, compromised accounts, or AI agents — are responsible for a growing share of data loss and costly security incidents. Traditional security tools weren’t built for this reality.

7 AI Governance Tools for Shadow AI Detection

AI adoption has accelerated faster than most organizations’ ability to manage it. Security and compliance teams are now responsible for overseeing machine learning models, large language models (LLMs), agentic AI systems, and shadow AI — often with frameworks and processes that weren’t built for any of it. The gap between deploying AI and governing it responsibly is where risk lives. AI governance tools exist to close that gap.