1699 matches found
CVE-2026-44750
SAP MDG Review Match Groups Application does not perform the necessary authorization checks for authenticated users. This could allow a low-privileged user to perform actions that would otherwise be restricted, resulting in escalation of privileges. This has a low impact on integrity, while...
CVE-2026-44750
SAP MDG Review Match Groups Application does not perform the necessary authorization checks for authenticated users. This could allow a low-privileged user to perform actions that would otherwise be restricted, resulting in escalation of privileges. This has a low impact on integrity, while...
EUVD-2026-35284
SAP MDG Review Match Groups Application does not perform the necessary authorization checks for authenticated users. This could allow a low-privileged user to perform actions that would otherwise be restricted, resulting in escalation of privileges. This has a low impact on integrity, while...
CVE-2026-44750 Missing Authorization check in SAP MDG (Review Match Groups Application)
SAP MDG Review Match Groups Application does not perform the necessary authorization checks for authenticated users. This could allow a low-privileged user to perform actions that would otherwise be restricted, resulting in escalation of privileges. This has a low impact on integrity, while...
PT-2026-47535
SAP MDG Review Match Groups Application does not perform the necessary authorization checks for authenticated users. This could allow a low-privileged user to perform actions that would otherwise be restricted, resulting in escalation of privileges. This has a low impact on integrity, while...
The Hardest Fork
Mythos is real. I know a big chunk of the industry thinks it's a marketing stunt, and I get why. I get it. But I've seen the findings, and they're bad. These aren't "whoops, this line right here is wrong, and that's RCE." They're novel combinations of a few dozen issues out of thousands of things...
Security-First Approach to API Pipeline Development with Zero-Trust Architecture
Modern enterprises face an accelerating onslaught of API-targeted threats amid a rapidly expanding attack surface. Record volumes of software vulnerabilities continue to accelerate dramatically, with 28,818 CVEs disclosed in 2023 a 38% jump from 2022 and 40,009 CVEs in 2024 another 38% increase,...
State of Agentic AI Security and Governance
An OWASP white paper analyzing the security, governance, and risk management considerations surrounding agentic AI systems, including autonomous decision-making, tool access, prompt injection, data protection, and organizational oversight. This is version 2.01...
CVE-2026-45080
Klaw is a self-service Apache Kafka Topic Management/Governance tool/portal. Prior to version 2.10.4, improper access control allows disclosure of password hash. This issue has been patched in version 2.10.4...
Drift-Protocol-Exploit-2026
Case Study: Drift Protocol $285M Logic Exploit April 2026 A...
From Operating Model to Product: How We Built the ROC for Detection-Speed Remediation
In the first article in this series, we made the case for a prevention-led operating model. This article is about what happened next: the decision to build something that did not exist, and what it took to make it real. Turning an operating model into a product sounds straightforward until you ar...
Agentic AI Is Transforming Defense, But Only Secure IT Infrastructure Will Maximize It
Over the past several weeks, the cybersecurity community has been reminded how quickly frontier and agentic AI in defense networks can challenge our assumptions. When Anthropic's Claude Mythos model was made available to a limited set of organizations as a technical preview, it was reported that ...
Introducing the Wallarm AI Control Platform: One closed loop for AI security and API security.
TL;DR - AI deployment has outpaced AI governance. Most enterprises running AI on AWS cannot answer four basic security questions about what's running, what it's doing,how to stop it, and how to prove it's under control. - The Wallarm AI Control Platform closes this gap: one platform for Discover,...
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a ke...
PT-2026-45782
Klaw is a self-service Apache Kafka Topic Management/Governance tool/portal. Prior to version 2.10.4, improper access control allows disclosure of password hash. This issue has been patched in version 2.10.4...
-cascade-scan
cascade-scan AI Agent security evaluation framework — autom...
SkillGuard: A Permission Framework for Agent Skills
Agent skills extend LLM agents with reusable instructions, scripts, tool bindings, and contextual dependencies. However, current skill ecosystems largely rely on trust-based loading and static inspection, leaving a gap between what a skill can inject into an agent's context and what it can cause...
SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
Distributed event-based systems have become a common substrate for Internet-scale publish/subscribe services, IoT telemetry, cloud-native microservices, and security operations pipelines. Their loose coupling and asynchronous delivery improve scalability, but they also expand the attack surface:...
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Agent skills extend AI agents with reusable instructions, tools, scripts, references, and workflows, establishing a security boundary distinct from both model safety and traditional package-malware detection. ClawHub Security Signals is a sanitized dataset of 67,453 latest public OpenClaw skill...
Extending EOL/EOS Software Intelligence Across Containers, Kubernetes, and Modern Workloads
Key Takeaways Unsupported software increasingly exists inside container images and Kubernetes workloads, not just traditional infrastructure. Lifecycle risk extends beyond CVEs because unsupported software eventually stops receiving patches and vendor maintenance. Outdated base images and runtime...