Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Many modern cloud security challenges come down to visibility. The complexity of modern environments, the deluge of alerts, and the lack of relevant context make it difficult for security teams to identify and prioritize threats — and easy for adversaries to slip through undetected.

Amazon SageMaker accelerates the process of training and deploying machine learning models. However, as AI adoption scales from individual experiments to enterprise-wide production, the focus of leading Fortune 500 software development operations and security teams must shift from pure velocity to governance.

User and entity behavior analytics (UEBA) is a cybersecurity technology that uses machine learning and risk scoring to detect threats by analyzing user and entity behavior patterns. UEBA establishes behavioral baselines for users, devices, and applications, then identifies anomalies that may indicate insider threats, compromised accounts, or advanced attacks that traditional security tools miss.

Every MSSP is fielding the same question from clients right now:"Are we safe with AI?" Most are answering with some version of"yes, we're logging everything." In a recent Defender Fridays episode, Saurabh Shintre, Founder and CEO of Realm Labs drew a hard line between these two concepts."You can log prompt and response and this bare minimum you have to do.

Managed Detection and Response (MDR) has become a foundational component of modern security programs. As attack surfaces expand and adversaries move faster, organizations increasingly rely on external providers to monitor, detect, and respond to threats around the clock. But not all MDR is created equal. The difference isn’t just tooling, staffing, or service-level promises. It comes down to the quality - and ownership - of the threat intelligence that powers detection.

Last week, researchers at OX Security published findings that should stop every security leader in their tracks. They discovered a critical vulnerability baked directly into Anthropic's Model Context Protocol SDK, affecting every supported language: Python, TypeScript, Java, and Rust. The result: remote code execution on any system running a vulnerable MCP implementation, with direct access to sensitive user data, internal databases, API keys, and chat histories. Over 7,000 publicly accessible servers.

Choosing a Threat Intelligence Platform? Discover the 5 key questions CISOs should ask before investing in threat intelligence software, tools, and services.

Rate this post Last Updated on April 22, 2026 by Narendra Sahoo For EU financial entities facing DORA compliance, the prospect of simultaneously managing ISO 27001 and SOC 2 can feel overwhelming. The reality is far more encouraging: these three frameworks share deep structural overlap, and organisations that approach them as an integrated compliance program — rather than separate projects — can reduce compliance duplication by 40–60%.

SafeBreach Helm is a pioneering AI agent designed to operationalize the complete Continuous Threat Exposure Management (CTEM) lifecycle by unifying SafeBreach’s industry-leading adversarial exposure validation (AEV) capabilities with data and insights from across an organization’s existing security ecosystem.

For decades, passwords have been the standard method for protecting access to systems and accounts. However, passwords can be compromised or stolen via tactics such as brute-force attacks, phishing attacks, and infostealer malware. The shift to multi-factor authentication (MFA) added another layer of security by requiring additional authentication to verify the user’s identity – some combination of something you know, own, or (in the case of biometrics) are.