Category: Technology
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Ransomware detection used to look like a malware identification task. A security product inspected a file, compared its code or hash against known indicators, and blocked it when the artifact matched a known family. That model still has value, but it is no longer sufficient for many modern intrusions. Human-operated ransomware can arrive through legitimate…
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Cloud forensics often begins too late. A security team detects suspicious activity, opens an incident, and starts asking which logs exist, how long they have been retained, who can access them, and whether a compromised administrator could delete them. Responders discover that object-level access logging was never enabled, identity records expired weeks earlier, a container…
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Kubernetes is built to make communication between workloads simple. Pods receive routable IP addresses, Services provide stable endpoints, and internal DNS allows applications to locate one another without tracking where each container is running. Those features make distributed systems easier to operate, but they can also produce a broad internal attack surface when network controls…
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Continuous integration and continuous delivery are often described as engineering automation: code enters a repository, tests run, an artifact is built, and a release moves into an environment. That description is operationally correct, but it leaves out the security fact that matters most. A CI/CD workflow is also a programmable access path into production. Modern…
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Software bills of materials have become one of the most visible controls in software supply chain security. They provide a machine-readable inventory of the libraries, packages, modules, frameworks, and other components associated with a software product. When a new vulnerability is disclosed, an SBOM can help an organization determine which applications may contain the affected…
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Microsoft’s July 2026 Patch Tuesday is the largest security release in the company’s history, delivering fixes for 570 vulnerabilities, including three zero-days. Two of the zero-days were actively exploited in the wild, while the third had been publicly disclosed before patches became available. The release also addresses 59 critical vulnerabilities, including 48 remote code execution…
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As AI agents move from chat interfaces into production systems, the security question is no longer limited to what a model can say. It is now also about what the agent can reach, what tools it can invoke, and which user-linked accounts sit behind those tool calls. That shift is what makes the Model Context…
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AI agents are becoming useful for the same reason they are becoming risky: they can act. They can browse websites, read files, call APIs, search repositories, invoke MCP servers, use skill files, modify documents, and trigger workflows across external systems. That makes them very different from older chatbot deployments, where most risk stayed inside the…
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AI agent security is beginning to move beyond the familiar problem of malicious prompts. The more serious issue is what happens after the model is connected to real systems. Once an AI assistant can reach files, APIs, databases, SaaS platforms, code repositories, ticketing queues, and internal workflows, the security boundary is no longer just the…
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Vulnerability management has always involved a mismatch between volume and capacity. Security teams identify thousands of findings across endpoints, cloud workloads, SaaS platforms, network appliances, containers, applications, and third-party software. Remediation teams do not have unlimited time, and many systems cannot be patched without maintenance windows, regression testing, uptime planning, or business approval. That is…
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