Tag: llm
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Beyond the Login: Triangulating Identity, Agents, and Data for Secure Agentic AI
As autonomous AI agents shift from passive tools to active digital coworkers, security architectures face an identity crisis. Agentic workflows run multi-step tasks across enterprise databases, third-party APIs, and cloud services – yet legacy Identity and Access Management (IAM) systems remain built for human users. To safely scale agentic AI, CISOs must modernize identity architectures…
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Securing the Agentic Enterprise – Practical CISO Strategies for AI-Native Defense
The cybersecurity landscape changed in the last few months. For years, defenders operated with an assumption: there would always be some delay between vulnerability disclosure and exploitation. That delay created a window for patching, mitigation, and detection. With Mythos-like frontier AI models, that buffer is disappearing. Frontier AI has democratized cyber offense. Anyone with access…
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Securing the Future of AI Integration: A Deep Dive into Model Context Protocol (MCP) Security
The AI revolution is accelerating at breakneck speed, and with it comes a critical challenge that most organizations are just beginning to understand: how do we secure the infrastructure that connects AI agents to the tools and systems they need to operate? Enter the Model Context Protocol (MCP)—a breakthrough standard that’s rapidly becoming the backbone…
CYBERSECURITY AI & RISK MANAGEMENT 