Enterprises face a major hurdle when deploying artificial intelligence. Standard network security protocols rely on open inbound ports and trusted intermediaries. This legacy design creates a large attack surface. It exposes systems to port scanning, credential theft, and man-in-the-middle attacks.
Atsign solves this problem by removing the network attack surface entirely. Their visual blueprinting tool and zero-knowledge network layer let developers build encrypted AI agents without a single open TCP port. Today, we sit down with David from Atsign to discuss their recent Broadband-Testing validation and how their technology secures enterprise AI.
Q: Broadband-Testing recently awarded Atsign a Gold Award. What specific vulnerabilities does your platform eliminate?
Apara Rayasam: The short answer is that Atsign eliminates the exposed inbound network path that many attacks depend on.
A lot of cyberattacks begin with discovery. If a service is visible and reachable, attackers can scan it, fingerprint it, probe it, brute-force credentials, look for misconfigurations, or wait for a new vulnerability to appear. That matters even more now because frontier AI models are dramatically accelerating vulnerability discovery and exploitation. Models such as Claude Mythos Preview show how quickly AI can find weaknesses in complex software and vulnerable environments. If exposed systems can be discovered and reached, the time defenders have to respond is shrinking.
Atsign changes that model by removing the need for protected applications, services, devices, and AI agents to accept inbound network connections.
Instead of exposing a service first and authenticating later, Atsign verifies identity before communication begins. Only authorized participants can connect and communicate, and the data exchanged is end-to-end encrypted.
It is important to be precise here. No platform eliminates every possible software vulnerability. What Atsign removes is the exposed network attack surface created by open inbound ports, publicly reachable services, and trusted intermediaries that can be scanned, attacked, or misused. That is why the Broadband-Testing validation was so important. It showed that systems built with Atsign can communicate securely without exposing the traditional entry points attackers rely on.
Q: You use Atsign AI Architect alongside the Atsign Platform. How do these tools work together to create a zero-attack surface?
Apara Rayasam: Atsign AI Architect helps teams design and generate secure-by-design applications, agents, and connected systems, while the Atsign Platform provides the identity-first, encrypted communications foundation those systems use when deployed.
Atsign AI Architect helps teams design secure connected systems before code is generated or changed. Teams create a visual blueprint to define the participants in the system, including people, applications, services, devices, data sources, and AI agents. The blueprint also defines how they communicate, what authority they have, what data they can access, and which policy boundaries need to be preserved.
That blueprint can then guide AI-assisted development. With the Atsign AI Architect MCP connection, teams can work with an LLM to help create and refine the architecture, then use the approved blueprint to guide code generation.
The Atsign Platform provides the secure communications foundation for the application once it is built. It gives participants verifiable identity, authorization, and end-to-end encrypted communication without requiring open inbound ports.
Together, AI Architect and the Atsign Platform help teams avoid the usual “build first, secure later” pattern. The secure architecture is defined up front, and the application runs on a platform designed so authorized participants can communicate while unauthorized parties have nothing useful to discover or attack.
Q: Independent lab tests showed your system blocked port scanning and man-in-the-middle attacks. What network-level changes make this happen?
Apara Rayasam:The biggest change is that protected systems do not need to expose listening services to the network.
In a traditional architecture, a service is often visible before identity is verified. That creates something for attackers to scan, fingerprint, and target. Atsign reverses that sequence. Identity is cryptographically verified first, and only then can authorized participants communicate.
Because the protected application, device, or service does not accept inbound connections, there is no exposed port for an unauthenticated scanner to find. Communication is initiated through outbound paths and is tied to verified identities rather than exposed network addresses.
The second major change is end-to-end encryption with participant-controlled keys. Intermediaries do not get access to the plaintext data being exchanged. Atsign does not hold the keys needed to decrypt customer data, so even infrastructure involved in transport cannot read the contents.
That combination is what changes the security model. Instead of trying to make the surrounding network safe, Atsign treats every network as untrusted transport and secures communication through identity, authorization, and encryption at the application layer.
Q: Security tools often slow down software engineering. How does Atsign help developers build a secure MVP in hours instead of days?
Apara Rayasam: Security slows teams down when it shows up too late.
In many organizations, a team builds a prototype first and then discovers that security, identity, access control, encryption, network configuration, firewall rules, VPNs, gateways, and compliance requirements all need to be added afterward. That retrofit process can take longer than building the prototype itself.
Atsign moves those decisions to the beginning.
With Atsign AI Architect, teams define the application architecture before code is generated. The blueprint captures the components, identities, authority, policies, data flows, and communication paths. That gives both human developers and AI coding assistants a structured, secure specification to work from.
The result is that teams are not just moving faster. They are moving faster with fewer security surprises later. As noted in the Broadband-Testing evaluation, an application that had originally taken weeks to build manually was recreated in one afternoon using Atsign AI Architect and the Atsign Platform.
That is the real value. It is not just a faster MVP. It is a secure-by-design MVP that avoids the costly pattern of building first and retrofitting identity, authority, access control, encryption, and network security later.
Q: Standard security models fail with autonomous AI. Why do traditional protocols fall short, and how does your architecture fix this?
Apara Rayasam: Autonomous AI changes the security problem because agents are not just users and they are not just applications. They can act, connect, call tools, access data, trigger workflows, and communicate with other systems.
Traditional security models were built around human users, network locations, application servers, and perimeter controls. But with autonomous AI, organizations need to answer a different set of questions. Who or what is this agent? What authority does it have? Which systems can it reach? What data can it access? Which other agents, applications, or services can it communicate with? What happens if it behaves unexpectedly or is compromised?
Atsign’s architecture is built around verified identity, bounded authority, policy-based access, and secure communication. Every participant, whether it is a person, application, service, device, or AI agent, can have its own cryptographic identity. Communication happens only when identity and authorization are established.
That matters because runtime monitoring alone is not enough. Monitoring can help detect behavior after the fact, but autonomous AI needs security boundaries before it starts acting. Atsign helps teams define those boundaries at the architecture level, before agents are deployed into production environments.
In other words, the goal is not simply to watch autonomous agents more closely. The goal is to make sure each agent has a defined identity, a defined scope, bounded authority, and approved communication paths before it can act.
Q: What is the first practical step for a company that wants to transition its infrastructure to a zero-port model today?
Apara Rayasam: The first step depends on what the company is trying to do: build something new, modernize something existing, or protect systems that are already running.
If a company is building a new application, AI agent, connected product, or distributed system, the best place to start is with secure architecture before code is generated. Atsign AI Architect helps teams define the identities, authority, policies, data flows, and communication paths up front, then guides AI-assisted development so the system is built for the Atsign Platform from the beginning.
If a company is modernizing an existing application, AI Architect can also help guide secure changes to the current codebase. The goal is to avoid simply adding new AI features or new connectivity on top of an architecture that was never designed for identity-first, no-inbound-port communication.
If a company needs to protect existing infrastructure without rearchitecting it, NoPorts is often the practical first move. It brings Atsign’s identity-first, encrypted connectivity to servers, applications, devices, and operational systems that are already running, without opening inbound ports or forcing major firewall changes.
So the practical path is not rip and replace. Start with the highest-risk exposure: a critical remote access workflow, a production service, a connected device environment, or a new AI-enabled system that is about to go live. Then apply the right Atsign path: AI Architect for new or modernized applications, NoPorts for existing systems, and the Atsign Platform as the secure communications foundation underneath.
The goal is simple: reduce what attackers can discover and reach while preserving the connectivity the business needs. Organizations do not need less connectivity. They need secure connected systems that only verified and authorized participants can access.
To learn more, visit atsign.com.
The rapid growth of agentic AI requires a new approach to network security. Independent tests prove that open ports and standard intermediaries leave enterprise data exposed. Zero-knowledge networking fixes this issue by removing the attack surface before the code ever reaches production.
Securing data pathways will become more urgent as AI agents become more autonomous. Companies need proactive frameworks that stop network threats by design. Atsign offers a secure foundation for enterprises to deploy AI systems safely and at scale.
To learn more, visit https://atsign.com/