Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Beyond Indicators: Gaining Context with Adversary Intelligence

Actions have consequences. In cybersecurity, we often only see actions at the surface level: a suspicious IP, a new domain, or a single mention on a dark web forum. For threat hunters, the consequences of treating these actions as isolated incidents are significant. These signals are rarely "one-offs." They are the visible tips of coordinated campaigns built on months of planning, spanning multiple tactics, techniques, and procedures (TTPs). Today’s adversaries are organized.

Introducing Protocol Discovery to stop guessing what's behind your open ports

Most tools will just tell you that a port is open. We’ve decided that’s not enough. TLDR: We’ve launched Protocol Discovery, a custom-built engine designed to move beyond simple port scanning by identifying the specific services communicating behind your open ports. Our engine is optimized for the speed of modern cloud environments-scanning assets in under 10 seconds.

What CVE 2026 23550 Is & Why It's Critical

CVE-2026-23550 is a critical unauthenticated privilege escalation vulnerability affecting the Modular DS WordPress plugin (versions ≤ 2.5.1). With a CVSS score of 10.0, this flaw allows attackers to gain full administrator access without authentication. In this video, we break down: What CVE-2026-23550 is How the vulnerability works (technical root cause) What attackers can do after exploitation.

How to Integrate Breach Notification into Your Incident Response Plan

Operational disruptions, regulatory mandates and reputational risks now make data breach notification a strategic necessity. To ensure breach notification is truly impactful, it must be seamlessly integrated into an organization’s incident response plan, for timely, compliant and coordinated communication following cybersecurity incidents.

CVE-2026-25639: Axios Vulnerability Triggers DoS in Node.js Applications

A newly disclosed vulnerability tracked as CVE-2026-25639 puts Node.js applications using Axios at risk of remote Denial-of-Service attacks. By sending a specially crafted configuration object, attackers can trigger a fatal runtime error inside Axios’s internal request handling logic, causing the Node.js process to crash instantly.

Introducing Forescout VistaroAI | The First SkillsBased Agentic AI for Cybersecurity

Meet Forescout VistaroAI, the first skills‑based agentic AI for cybersecurity. Forescout VistaroAI I thinks like a security expert, not a chatbot. It uses cybersecurity‑specific, preprogrammed skills to analyze anomalies, interpret posture changes, and automatically highlight affected assets. It eliminates the need for prompt engineering, providing role-based automation with human-in-the-loop control. The result is faster, more accurate decisions, and clearer starting points for real investigations.

Non-human identities (NHIs) explained and how to secure them

Non-human identities are the fastest-growing and least-governed identity population in most environments. Service accounts, API keys, and AI agents run without MFA, without owners, and without expiration. Traditional identity and access management (IAM) wasn't built to manage them. Without governance for discovery, ownership, and lifecycle management, stale machine credentials become attacker footholds that persist for months.

Emerging Threat - Dell RecoverPoint for VMs Hardcoded Credential (CVE-2026-22769)

CVE-2026-22769 is a hardcoded credential vulnerability affecting Dell RecoverPoint for VMs, a disaster recovery orchestration platform used to manage replication and failover of virtualized workloads. The issue stems from static authentication credentials embedded within a product component. Because these credentials are not uniquely generated per deployment and cannot be changed by administrators, they introduce a structural authentication weakness.

AI Data Governance Framework: A Step-by-Step Implementation Guide

AI data governance is the structured framework that ensures sensitive data remains protected when artificial intelligence systems are used. Traditional data governance focuses on data at rest. It manages databases, access controls, storage policies, and compliance documentation. AI fundamentally changes the environment, and hence, understanding AI data and privacy is crucial. When organizations use large language models, AI agents, or retrieval-based systems, data flows dynamically.