Category: CyberSecurity
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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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Today’s Topics: Microsoft Maps Three Salesforce Attack Paths Tied to a Year of ShinyHunters Activity Threat actors linked through tactics, infrastructure, and public claims to the ShinyHunters data-extortion operation spent much of the past year gaining access to corporate Salesforce environments without exploiting a vulnerability in the platform itself. Their access came through trust relationships…
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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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Prompt injection was first treated mainly as a text-security problem. An attacker typed a tempted to override its system rules, and tried to make the model produce restricted information or perform an unintended task. Multimodal models and computer-use agents have changed that threat model. Instructions no longer need to arrive through a chat box. They…
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Today’s Topics: ATM Jackpotting Shows Why Encryption Wrappers Cannot Be Treated as a Final Defense ATM security often looks stronger from the outside than it is at the computing layer. The vault section is physically hardened, cash cassettes are protected, and forced entry into the lower half of the machine is difficult by design. The…
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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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Today’s Topics: BioShocking Shows Why AI Browsers Turn Prompt Injection Into Account Access AI browsers change the risk model for web security. A normal browser displays pages, runs site code inside web security boundaries, and leaves most decisions to the user. An AI browser in agent mode can read, click, type, summarize, follow links, interact…
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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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