Research, field notes and practical guidance from the people who break into systems for a living, so you can defend yours.
An AI system does not need to compromise a database to raise security concerns. Sometimes, the more important question is whether it can take an action that was never explicitly authorized. That…
On October 22, 2026, Japanese video game publisher Capcom disclosed unauthorized access to its CAPCOM ID membership service, reporting that 11,774,247 records worldwide were affected. The company…
The Telangana ransomware attack disrupted the TG-iPASS portal, raising concerns about government service availability, database security, and recovery preparedness. The suspected attack reportedly…
A critical security flaw in PHP can turn an ordinary web request into a potential entry point for an attacker. In October 2026, two vulnerabilities known as PHP2Shell forced administrators to…
A software supply chain compromise can affect multiple applications, development environments, and production systems simultaneously. Identifying the affected component is only the first step.…
A vendor can pass a security questionnaire, provide industry-recognized certifications, and demonstrate documented security policies while still introducing significant risk into an organization's…
Continuous integration and continuous delivery (CI/CD) pipelines automate how software is built, tested, and deployed. They help development teams release changes faster, but they also connect source…
organizations rely on trusted software vendors, signed updates, and established distribution channels to maintain their systems. However, trust in a software provider does not guarantee that every update or component is secure. If attackers compromise a vendor's development environment or distribution infrastructure, legitimate software can become a delivery mechanism for malicious code.
Software supply chain attacks exploit vulnerabilities in third-party dependencies, compromised packages, and CI/CD pipelines. Learn how these threats affect modern applications and the security measures organizations can implement to protect software integrity.
An organization may have enterprise-grade security tools, a dedicated security team, and the necessary compliance certifications while still exposing critical systems to preventable attacks. The problem is not necessarily a lack of investment. It may be that the investment is directed toward the wrong priorities, existing controls are not working as expected, or identified weaknesses remain unresolved.
Explore the shift from AI to SI (Super Intelligence ), its policy implications, emerging cybersecurity risks, and essential security controls for autonomous systems.
AI security is evolving beyond protecting individual models from malicious prompts. As organizations deploy AI agents that retrieve information, analyze data, and execute operations through enterprise APIs, a new attack surface is emerging: the trust relationships between agents. A compromised agent may not need direct access to a sensitive system; it may only need to influence another agent that already possesses privileged access.
