Category: Whitepapers

Climate risk is becoming an insurance-liability problem, not only a property-loss problem. By 2026, regulators and researchers are increasingly linking heat, wildfire smoke, infectious disease, medical utilization, mortality and longevity to pricing, reserves, capital and insurance affordability. The emerging model…

Introduction Telecom operators are moving from isolated AI pilots toward agents that can investigate incidents, support customer care, optimize networks, and eventually execute bounded operational changes. The central challenge is not only model capability. Agents must also connect fragmented network,…

Frontier AI is changing the cybersecurity question from “Can we find vulnerabilities?” to “Can we validate, prioritize and fix them before an attacker acts?” The shift is forcing security teams to reconsider risk as an organizational-resilience problem—not merely a tooling…

The EU AI Act is moving from legislative text to operational evidence. Organizations now need more than a policy statement: they need documented classifications, controls, testing records, technical files, transparency processes, and change histories that can withstand regulatory scrutiny. That…

AI agents are moving from conversational interfaces into systems that retrieve data, call tools, modify records and coordinate with other software. That shift has created a standards gap: established AI frameworks address governance and model risk, while traditional cybersecurity standards…

AI agents are moving beyond conversation. They retrieve documents, browse websites, read email, call APIs, modify files, and make decisions inside business workflows. That usefulness also creates a new security problem: content an agent reads can contain instructions that redirect…

Artificial intelligence is moving from business software into power, water, transportation, manufacturing, buildings, healthcare, and other environments where digital decisions can affect physical operations. NIST’s 2026 work does not introduce a finalized “AI RMF 2.0.” Instead, it begins development of…

Agentic AI systems can retrieve information, use tools, make decisions, and change enterprise systems with limited human intervention. That capability expands the attack surface beyond the model: identity, APIs, memory, data stores, orchestration logic, network paths, and human approvals all…

AI agents are not merely chatbots with better interfaces. They can retrieve documents, call APIs, modify files, send messages, and preserve information between sessions. That combination creates a security problem in which malicious text can influence not only an answer,…

AI Cybersecurity Forecast 2026: The Rise of the Agentic SOC Security operations centers (SOCs) are entering an important transition. AI is moving beyond alert summaries and chatbot assistance toward systems that can investigate incidents, coordinate tools, and recommend—or, within defined…