Disaster Recovery Journal Spring 2026

architecture with modern work patterns. When security adapts to reality rather than resisting it, organizations can protect data without sacrificing performance or pro ductivity. From AI Risk to Operational Confidence AI introduces uncertainty, but it also offers an opportunity. Organizations that acknowledge how AI reshapes the attack surface can move from reactive risk man agement to proactive governance. By making invisible data flows visible and enforceable, security teams regain confi dence in their ability to protect the enter prise. This requires architectural thinking rather than incremental fixes. It requires security platforms that unify access, vis ibility, and policy enforcement across users, applications, and AI-driven activ ity. Most importantly, it requires accept ing that AI is now a core part of enterprise operations, not an edge case to be man aged separately. Making the Invisible Visible The enterprise attack surface has not exploded overnight. It has quietly expanded, shaped by AI agents, browser based tools, and automated workflows that operate beyond traditional security assumptions. The greatest risk is not mali cious intent, but blind trust in models which no longer reflect reality. Enterprises that succeed in this new era will be those that prioritize visibility, con sistency, and adaptability. By rethinking how security is delivered and enforced, they can bring AI into the enterprise with out surrendering control. The future of enterprise security lies not in chasing every new tool, but in building architectures that can see, understand, and protect the invisible paths where modern work now happens. v

the stack. The result is increased complexity and reduced confidence. Security teams strug gle to maintain consistency across poli cies, and small misalignments can create significant gaps. Enforcement becomes uneven, and troubleshooting becomes more difficult as teams chase issues across multiple systems. In an environment already strained by rapid change, fragmented security only amplifies risk. Simplification and unifica tion are not luxuries; they are prerequisites for managing AI-driven complexity. The Challenge of Non Standard and Custom AI Agents Unlike traditional enterprise software, AI agents do not follow a single standard or architecture. Organizations build and customize agents to fit specific workflows, industries, and operational needs. Some agents are tightly scoped and well-defined, while others evolve continuously as models, prompts, and integrations change. This variability makes static security approaches ineffective. Hard-coded rules based on known applications or destina tions quickly become obsolete. New agents appear, existing ones change behavior, and traffic patterns shift without warning.

Security solutions must therefore be adaptive. They need to understand behav ior, context, and intent rather than relying solely on predefined signatures. Without this flexibility, enterprises risk falling into a perpetual cycle of chasing AI adoption rather than governing it. Rethinking the Enterprise Security Model for AI The challenges introduced by AI are not isolated problems; they reflect a broader shift in how enterprise work is performed. Security models built for static environ ments must evolve to support dynamic, distributed, and automated systems. At the core of this evolution is the idea security should move with the user, the device, and the workload. Enforcement should happen as close as possible to where activity occurs, rather than relying on distant chokepoints. Policies should be defined once and applied consistently across users, applications, and AI agents. Equally important is unified visibility. Security teams need a single, coherent view of enterprise activity which includes human users and non-human agents alike. Context matters more than ever, and vis ibility without context is of limited value. This shift is not about adding more controls, but about aligning security

Prakash Mana is an entrepreneur and leader in security and workplace connectiv ity. Mana’s company, Cloudbrink, enables the work-from-anywhere movement by delivering secure, fast connectivity regard

less of location or device.

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