Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Your systems are fully patched. Your vulnerability scanner comes back clean. But are they actually secure?

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.

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.

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.

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.

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 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.

Most teams try to fix prompt injection in the prompt itself. They add guardrails. They rewrite system messages. They stack more instructions on top of instructions. It feels productive. It is also fragile. Prompt injection is not just a prompt problem. It is a data problem. And if you treat it like a wording problem instead of a data control problem, you will keep playing defense. Let’s unpack why.

Social engineering remains the most reliable way into an organization—and attackers are getting better at it every day. According to the 2025 Verizon Data Breach Investigations Report, up to 68% of breaches involve social engineering. AI has only widened the gap. More than 95% of cybersecurity professionals say AI-generated phishing is harder to detect, and Microsoft reports that AI-generated phishing emails are 4.5x more successful than manually created ones.