Agentic AI Security for AI Systems and Connectivity

Unlock agentic AI security in the cloud or on-premises, integrating isolated environments and systems to enhance agility and scalability. AI agents, models, and workloads increasingly generate their own network traffic, moving autonomously and at machine speed. They behave differently from human users and need segmentation, policy, observability, and authorization built for that traffic, not security inherited from architectures designed around predictable human access patterns. As AI agents authenticate to tools and communicate with other agents, that machine-to-machine traffic needs its own AI agent authorization model.

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AI Data Security and Workload Isolation

Create isolated and micro-segmented environments for your AI models and data, delivering AI data security that prevents lateral movement and unauthorized network access to services, data science systems, workloads, or other network assets.

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Granular and Dynamic Zero Trust Role Access Control

Integrate Identity systems and implement granular access controls tied to user groups, restricting access to sensitive AI data flows and systems, ensuring sensitive information remains protected.

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Zero Trust AI Access

Implement network zero trust AI access for AI systems to control communication between AI components and other systems, minimizing the attack surface and containing potential breaches.

Agentic AI Security and AI Data Security
for Every AI Workload.

As AI agents, models, and workloads take on a growing share of network traffic, they need security built for how they actually behave, not inherited from architectures designed around human users. Dispersive extends zero trust segmentation, agent authorization, and quantum-resistant encryption across every AI system, providing zero trust-enabled isolation for remote, site-to-site, and cloud-based AI inferencing workloads. This isolates agents, protects AI data, and contains threats before they spread, while enhancing data transfer performance and reducing AI interaction latency, so your AI investment stays protected as it scales.

Dispersive's unique approach to AI isolation and security delivers preemptive cyber defense through autonomous, automated moving target defenses. Quantum-resistant encryption key rotation, dynamic packet-splitting, and multi-path networking ensure that AI environments remain zero-trust enabled, high-performing, and resilient against evolving cyber threats.

Isolate & Secure AI Workloads, RAG Processes, and AI Data Sources

Zero Trust AI Network and Enclave Isolation

Continuously verify and isolate remote access users and authorized connectivity to enclaves and workload devices to ensure only authorized access to sensitive AI data during data handling activities for learning systems, enhancing overall security. Dispersive's platform can also isolate data center AI workloads and public cloud workloads with inferencing attached, protecting them from lateral movement and man-in-the-middle cryptography attacks.

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Quantum Resistant Path Randomization with Encryption

Secure your data against future quantum computing threats with advanced, quantum-resistant, and resilient connectivity.

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Autonomous Multi-path Routing and Spread Spectrum Traffic Splitting

Move beyond the capabilities of traditional routing and encryption protocols. Our unique technology optimizes network performance and autonomous multiple path routing capabilities to protect data by reducing interception risks and isolating users, workloads, and hosts.

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Scalable, Cost-Efficient AI Infrastructure

As AI workloads and agent traffic grow, Dispersive scales with them — consolidating network topology and administration to reduce reliance on costly hardware, so securing more AI systems doesn't mean a proportional rise in infrastructure spend.

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Cloud and On-Premise AI Deployments

Deploy across software, virtual, container, and hardware-based gateways, with endpoint software for remote users and data scientists — so AI inferencing and model training environments are secured consistently, whether they run in the cloud, on-prem, or across both.

Graphic depiction of cloud networks by Gerd Altmann from Pixabay

FAQs

AI workloads process sensitive data that can be targeted by adversaries, making AI data security essential. Isolating AI environments ensures confidentiality, prevents data poisoning, and mitigates adversarial attacks.

Dispersive dynamically encrypts and fragments AI traffic across multiple pathways, preventing interception while ensuring secure, high-performance communication.

Yes. Dispersive supports compliance with stringent AI and data protection regulations by ensuring encrypted, zero-trust network segmentation.

Traditional segmentation partitions the network into static zones. Dispersive segments individual AI communications into independently encrypted pieces and distributes them dynamically across multiple paths, reassembled only at the destination, adapting continuously rather than relying on a fixed perimeter.

Yes. Dispersive enables secure, high-speed data transfers between on-prem, cloud, and multi-cloud AI environments without exposing workloads to risk.

Yes. As AI agents authenticate to tools and communicate with other agents, Dispersive extends zero trust segmentation and authorization to that machine-to-machine traffic, rather than relying on controls built for human users.

No. Dispersive is not a SASE, ZTNA, or SD-WAN replacement. It operates as a control layer above what's already in place, extending protection to AI agents, models, and workloads without requiring changes to existing infrastructure.

Dispersive® Stealth Networking Solutions

Fortifying Networks with Secure, Resilient, and High-Performance Connectivity

DispersiveCloud™

DispersiveCloud™ is a hosted SAAS SOC 2 Type II-compliant solution that brings the power of our groundbreaking network fabric that simplifies the deployment and management process without compromising performance or security. We operate on state-of-the-art cloud networks, partnering with various vendors, including Amazon Web Services and Azure to enable global high availability.

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Government

DispersiveFabric™

DispersiveFabric™ is our robust, flexible solution designed for larger, more complex environments. A software-defined overlay network, DispersiveFabric™ utilizes a microservices architecture to provide unparalleled security, reliability, and performance. Deployable on any type of infrastructure with infinite scale- public cloud, private cloud, containers, VMs, dedicated hardware.

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AI Agents Move at Machine Speed.
Your Network Security Should Too.

Legacy security assumes a human is behind every connection. Dispersive does not. We isolate AI agents, models, and workloads at the network layer, with segmentation, authorization, and quantum-resistant encryption built for machine-speed traffic from the ground up, not retrofitted onto architecture designed for something else.

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