Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Getting clear answers about your security risk shouldn’t require hours of manual work or deep platform expertise. Meet Seema – Seemplicity’s new AI assistant designed to translate complex remediation data into plain-spoken, actionable insights. Whether you’re a practitioner investigating a specific vulnerability, an engineer needing context on a finding, or a leader briefing on overall risk, Seema provides the clarity you need to move from data to action.

For the past two years, the adoption of Generative AI has felt like a gold rush. Organizations raced to integrate Large Language Models and build autonomous agents to assist employees. They often bypassed standard governance processes in the name of speed and innovation. That era of unrestricted experimentation is rapidly drawing to a close. A massive regulatory wave is forming worldwide. Frameworks like the EU AI Act and the new ISO/IEC 42001 standard are forcing a corporate reckoning.

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.