Emansrepo Stealer spreads via email, Palo Alto sheds light on top-level domains, and Earth Lusca deploys a new multiplatform backdoor.

This is the second in a series of articles about cloud-based attack vectors. Check out our last article about admin takeovers! Inside the Cloud: Attacks & Prevention – Administrative Account Compromise Ransomware has long been associated with takeovers of endpoints. However, attackers are evolving to target cloud environments – and the effects can be devastating.

You trust us with your most important workflows, and we take that trust seriously. In developing AI in Tines, we’ve been laser-focused on helping users leverage AI without exposing their organizations to security and privacy risks. But we also spoke with so many teams struggling to fully realize AI's potential impact. They wanted AI to do more, while still preserving those all-important security and privacy guardrails.

Over the past year, BlueVoyant’s cyber threat analysts have identified a significant rise in third-party phishing tactics, most notably with a campaign impersonating the Zelle digital payment service. By mimicking a well-known payment site like Zelle, threat actors can evade detection more effectively while collecting credentials and personally identifiable information (PII) from online users of hundreds of financial institutions.

Admission control is a crucial part of the Kubernetes security, enabling the approval or modification of API objects as they are submitted to the server. It allows administrators to enforce business logic or policies on what objects can be admitted into a cluster. Kubernetes RBAC is a scalable authorization mechanism, but lacks the fine grained control over different Kubernetes objects. This creates the need for another layer of control which is Admission Policies.

One of the primary reasons that the Bitsight Security Rating is widely respected and closely correlated with real-world security outcomes is the scale and sophistication of our asset attribution capabilities. In a recent post, my colleague Francisco Ferreira shared an update on the momentum building with Bitsight Graph of Internet Assets (GIA), the AI-powered engine we use to map assets to organizations and build our Ratings Trees.

Developers of plugins and themes for WordPress.org have been told they are required to enable two-factor authentication (2FA) from October 1st. The move is intended to enhance security, helping prevent hackers from gaining access to accounts through which malicious code could be injected into code used by millions of websites running the self-hosted version of WordPress.

AI guardrails are vital for ensuring the safe and responsible use of AI/large language models (LLMs). However, focusing solely on single prompt-level checks can leave organizations vulnerable to sophisticated threats. Many company policy violations and security risks can be cleverly split across multiple, seemingly innocent queries. To effectively protect against these threats, a more comprehensive approach is needed — session-level monitoring.

As organizations increasingly integrate artificial intelligence (AI) into their operations, the nature of data security is undergoing significant transformation. With AI’s ability to process vast amounts of data quickly, the risk of data breaches and leaks has grown exponentially. In this context, Data Loss Prevention (DLP) has (re)emerged as a critical component for IT professionals seeking to safeguard sensitive information.

In today's digital landscape, cyber attacks are an ever-present threat, and they all ultimately target one thing: data. For most organizations, the challenge lies not only in protecting this data but also in understanding the full scope of what they have. Many organizations struggle to identify how much sensitive data they possess, where it resides, and who has access to it.