What Is Third-Party Risk Management (TPRM)?

Your security team has hardened your perimeter. You have MFA enforced, endpoint detection running, and your crown-jewel systems are locked down tight. Then a vendor you onboarded two years ago, a mid-size SaaS tool your procurement team signed off on, gets breached. They had access to your customer data. Now it is your problem. This is the third-party risk problem in one paragraph. And it is why TPRM has moved from a compliance checkbox to a board-level conversation.

Exposure vs Vulnerability Management: Is There Actually a Difference?

In this exclusive fireside chat, Seemplicity CPO Ravid Circus and SANS instructor Jonathan Risto break down this critical distinction and why mastering it is vital as AI rapidly reshapes the cybersecurity threat landscape. Here’s a summary of what they covered. If you’ve been in security for any length of time, you’ve probably wondered whether exposure management is just vulnerability management with a fresh coat of paint.

How to detect HTTP/2 abuse in Apache web server logs

Apache HTTP Server is one of the most popular web servers in use today for engineering teams, and its prevalence naturally makes it a frequent target for attackers. In May 2026, the Apache Software Foundation patched CVE-2026-23918, a high-severity double-free vulnerability in Apache 2.4.66’s mod_http2 module. For teams not using Apache’s MPM prefork, the vulnerability would enable an attacker to crash worker processes or achieve remote code execution (RCE) in some specific cases.

Practical MCP Security: A Playbook for Mid-Market Teams

Most guidance published on AI agent security is written for enterprise organizations. It assumes dedicated AI security functions, red teams, platform engineering groups, and the budget to commission purpose-built tooling. If your security team is three people covering five hundred employees and a cloud environment that grows faster than you can document it, that guidance was not written for you. The five posts in this series have established the threat landscape.

Our comments to NIST: AI agent security starts with human identity verification

AI agents have developed advanced capabilities faster than most would have imagined. In enterprise contexts, workforces are delegating more and more tasks to them. While the promise of increased productivity is enticing, the shift from deterministic automated tools to agentic autonomous systems introduces security risks that most enterprises haven’t prepared for.