Automated Red Teaming: Capabilities, Pros/Cons, and Latest Trends

Automated red teaming uses software to simulate cyberattacks and test security defenses, helping organizations find and fix vulnerabilities more efficiently. It automates tasks like credential harvesting, system enumeration, and privilege escalation to test security posture in a continuous, scalable manner. Beyond traditional systems, automated red teaming can also be used for AI systems, where it tests for risks like data poisoning or prompt injection in generative models.

A Practical Approach to Continuous Threat Exposure Management

Organizations face a complex cybersecurity conundrum. Attack surfaces are expanding faster than SOC teams can scan. All of which is leading to a never-ending cycle of swivel-chair security, context-free lists, increased alert fatigue, and slow remediation. The strategic pivot needed to combat this is Continuous Threat Exposure Management (CTEM). A structured and essential alternative that moves teams away from reactive scanning to proactive, ongoing validation and prioritization.

What is Exposure Management? From Visibility to Action

Exposure Management has quickly become one of the most talked-about concepts in cybersecurity. This article breaks down what exposure management really is, how it differs from vulnerability management, and why the ability to take action is what ultimately drives meaningful risk reduction.

Secrets in the Machine: Preventing Sensitive Data Leaks Through LLM APIs

In this webinar, we break down a simple but increasingly common problem: secrets leak wherever text flows, and modern LLM apps and agentic workflows are built to move text fast. We walk through concrete demos showing how API keys and passwords can surface through RAG-based assistants when secrets accidentally live in knowledge bases (tickets, docs, internal wikis). We also show why “just harden the system prompt” isn’t a reliable fix, and how output-only redaction can be bypassed (for example by simple formatting/encoding tricks). Most importantly, we explore real-world agent architectures.

When Seeing Isn't Believing: AI Images, Breaking News and the New Misinformation Playbook

In the early hours following reports of a U.S. military operation involving Venezuela, social media feeds were flooded with dramatic images and videos that appeared to show the capture of Venezuelan president Nicolás Maduro. Within minutes, AI-generated photos of Maduro being escorted by U.S. law enforcement, scenes of missiles striking Caracas, and crowds celebrating in the streets racked up millions of views across various social media channels. The problem?

What Is the Shai Hulud npm Worm and How to Protect Against It

Shai Hulud didn’t invent a new supply chain weakness. It took advantage of something most teams already struggle with: long-lived credentials sitting on developer laptops and CI runners. Once it landed in a workstation or pipeline, it went hunting for secrets, then moved into GitHub, npm, and cloud environments. The damage is huge.

The Need for Speed in Exposure Validation

In cybersecurity, speed has always mattered, but never as much as it does today. Modern enterprises are operating in an era of constant digital acceleration. Cloud-first strategies, third-party integrations, and remote workforce enablement have massively expanded the digital footprint of nearly every organization. With that expansion has come an explosion in internet-facing assets, many of which sit outside the visibility and control of security teams.

5 Indicators That Standing Privileges Put You at Risk

In most organizations, standing privileges don’t show up all at once. They accumulate quietly. A role is added “temporarily.” A contractor needs broad access to finish a project. A service account gets oversized permissions because no one has time to fine-tune them. None of these choices seem harmful in the moment, but over time they build into a privilege surface that’s far too large and far too easy to misuse.

Top 5 2026-Ready Data Masking Solutions for Regulated Industries

In regulated industries, organizations are dealing with more sensitive data than ever before. This includes consumer IDs, financial and health-related data, and even behavioral insights. However, when this sensitive data finds its way into test, analytic, or development environments, it poses a direct compliance and security threat. This is where data masking comes in. It enables the use of realistic data by removing or modifying personal identifiers.