Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI (GenAI) is advancing rapidly, offering significant potential for business transformation. However, it also introduces new security risks. The Model Context Protocol (MCP), an open standard introduced by Anthropic in November 2024, enables seamless integration between GenAI applications and external data sources and tools. MCP is commonly referred to as a USB-C port for GenAI applications.

Data loss prevention (DLP) software provides strong protection after data is stored, Secude provides Zero Trust protection before data is stored. Together, they secure your digital supply chain. Ensuring digital supply chain security is a fundamental part of the EU’s NIS2 Directive - and for good reason. In recent years, digital supply chains have become the main targets of cyberwarfare, with supply chain attacks rising 2,600% since 2018.

Enterprises rely heavily on third-party vendors for a vast spectrum of critical services. From IT support and supply chain management to specialized consulting and cybersecurity, the reliance on external partners has increased significantly. With this reliance comes the inherent risk that these vendors may pose to enterprise operations, reputation, and regulatory compliance.

Trustwave SpiderLabs continuously tracks a range of malicious activities originating from Proton66 ASN, including vulnerability scanning, exploit attempts, and phishing campaigns leading to malware infections. In this two-part series, SpiderLabs explores the malicious traffic associated with Proton66, revealing the extent and nature of these attacks.

Scam losses in the Asia-Pacific region continue to escalate, positioning the area as a global testing ground for phishing innovations. Singapore’s recent implementation of the Shared Responsibility Framework (SRF) serves as a critical alert for enterprises: both regulators and customers are demanding heightened vigilance.

Log management becomes more challenging as both log volume and diversity rapidly grow. Yet many companies still rely on legacy log management and SIEM solutions that aren’t designed to cost-effectively or securely handle the large scale of logs today coming from sources both in the cloud and on premises.

Risk assessment requires context. One of the primary challenges with protecting cloud environments is understanding how certain activity can lead to risk. Risky behavior can be categorized as any activity or action that increases the likelihood of an attack in your cloud environment. While certain activity may not be malicious on its own, it can expand an environment’s attack surface or indicate post-compromise behavior.