Atsign Launches EdgeAI to Securely Connect Autonomous Agents, Edge AI and IoT Systems

Atsign has a new answer for a problem that grows every time another connected device goes live. The San Jose company announced Atsign EdgeAI on November 3, 2026, a packaged solution built to connect distributed systems across different networks without leaving them exposed to the public internet. It targets Edge AI, Physical AI, internet of things and operational technology systems, smart transportation, robotics, critical infrastructure and remote operations.

The timing matters. Attackers now use AI tools to scan for exposed infrastructure and to move quickly once they find a weak point. A factory sensor, a roadside camera, a warehouse robot or a remote pumping station can become an entry point if it sits on a public address. Atsign says EdgeAI is designed to remove that exposure while keeping legitimate systems able to talk to each other.

What Atsign EdgeAI actually does

At its core, EdgeAI combines software running on devices, gateways, applications and edge systems with a central management tool called Atsign Control Center. The software handles the secure connections. Control Center gives administrators visibility across a distributed environment and a single place to set the rules for who can communicate with whom.

That identity-first approach is the key difference from older network security. Traditional setups often trust a device because it sits on the right network or carries a known IP address. EdgeAI instead controls communication based on identity. An administrator can define which devices, applications and AI agents are allowed to talk, and can change those rules from one central place.

The practical benefit shows up when something goes wrong. Control Center includes an identity-based Kill Switch that can cut off or limit communications from a compromised or misbehaving device, application or AI agent. Administrators do not have to wait for firewall changes or a network reconfiguration at each site. They can act on the identity itself, which is useful when a problem spans dozens of locations.

Why scaling distributed systems is hard

Atsign chief executive Aparna Rayasam framed the launch around scale. She said getting a pilot up and running is one thing, while scaling it across dozens or hundreds of sites, each with different networks and security requirements, is where things get difficult. EdgeAI, she said, was built to make those deployments simpler and more secure, without forcing companies to expose internal systems or rework their networks at every location.

Anyone who has run a multi-site rollout will recognize that pain. Each site may use a different internet provider, a different router setup and a different set of local rules. A solution that demands a network redesign at every site slows the rollout and creates new chances for mistakes. A packaged approach that works across those differences can shorten the time from pilot to production and keep the security model consistent.

The Intel connection and the speed question

Security often comes with a performance cost, and that cost matters most at the edge. A self-driving shuttle, a traffic system or a factory robot cannot wait for slow encryption. Atsign worked with Intel on this point, and the companies published a Smart Transportation Solution Brief describing how Atsign secure agent-to-agent communications work with Intel hardware-backed security.

The brief covers encryption acceleration, hardware-backed key generation and protected key storage. In testing reported by Atsign, hardware crypto acceleration delivered large gains over software-only encryption. On Intel Core Ultra processors, encryption throughput reached 6 Gbps, up to 60 times higher than a software-only baseline of about 100 Mbps. On Intel Xeon processors, throughput reached 5 Gbps, up to 88 times higher than a baseline of about 57 Mbps.

Those figures are vendor-reported test results, so readers should treat them as Atsign measurements rather than independent benchmarks. Still, the direction is clear. If secure communication can run at multi-gigabit speeds on edge hardware, teams have less reason to trade security for speed. Renu Navale, vice president and general manager of the Health Cities Division in Intel Edge Computing Group, said edge AI deployments only deliver value if organizations can trust and scale them, and that hardware-backed security lets customers protect communications between autonomous systems without slowing them down.

Where EdgeAI fits in the wider AI security picture

EdgeAI arrives as autonomous agents move from demos to daily operations. Agents now book, monitor, adjust and report across systems that were never designed to talk to each other. That creates a new kind of risk. An agent with broad access can be useful, and it can also be dangerous if its credentials are stolen or its behavior changes.

Identity-based controls speak directly to that risk. If every agent, device and application has an identity, and if communication requires that identity to be authorized, then revoking access becomes a policy action rather than a network project. The Kill Switch extends that idea to emergencies, giving teams a fast way to isolate a suspect participant while they investigate.

The approach also fits the zero-trust idea that has become standard in enterprise security. Zero trust assumes no device or user is trusted by default, even inside a private network. Atsign describes its underlying platform as a zero-trust networking fabric, and EdgeAI packages those capabilities for distributed deployments.

What to watch next

For now, the launch adds a distinct voice to the edge security debate. Rather than asking companies to harden every exposed endpoint, Atsign wants to remove the exposure itself and control communication by identity. If that model holds up in real deployments, it could make large autonomous and edge systems easier to run and harder to attack.

Frequently Asked Questions

What is Atsign EdgeAI?

Atsign EdgeAI is a packaged solution announced November 3, 2026, that securely connects distributed systems such as edge AI, robotics, IoT and smart transportation across different networks. It uses software on devices and gateways plus a central Control Center to manage identity-based communication rules.

How does the Kill Switch in Atsign Control Center work?

The Kill Switch lets administrators cut off or limit communications from a compromised or misbehaving device, application or AI agent based on its identity. That avoids waiting for firewall changes or network reconfiguration at each site.

What performance gains did Atsign report with Intel hardware?

Atsign reported encryption throughput up to 6 Gbps on Intel Core Ultra processors and up to 5 Gbps on Intel Xeon processors in its own testing. Those figures compare with software-only baselines of about 100 Mbps and 57 Mbps, respectively, and should be read as vendor-reported results.