// Product
Atsign EdgeAI
Secure connectivity and control for edge AI and IoT
Atsign NoPorts
Secure remote access with no open ports
// From the blog
9/18/2026
Edge AI, Explained: How Intel and Atsign Address Security and Performance
// Industries
Smart Cities
Healthcare Technology
Critical Infrastructure
Financial Services
// developers
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If your AI agent gets tricked by a prompt injection, a firewall won't stop the data leak—but a cryptographic kill switch will.
The McKinsey AI breach proved that legacy perimeter security is broken against autonomous AI agents. See the 4 steps of the machine-speed hack and why Atsign's Zero-Port Architecture would have stopped the attack instantly.
Atsign's AI Architect brings secure-by-design guardrails to generative AI development, allowing teams to define agent roles, data boundaries, and zero-trust permissions before writing a single line of code.
The SDLC is broken. As AI moves from chatbots to autonomous agents, here is how the architecture of trust must change.
Model Context Protocol promises universal connectivity for AI, but its current architecture is scaling a broken trust model that leaves sensitive enterprise data vulnerable to exploitation.
Imagine your AI agent rebooking a canceled flight and hotel while you sleep—securely. Learn how the atPlatform solves the trust and permission problems of AI, allowing agents to act for you while you maintain total control.
Why do 95% of GenAI pilots fail? It’s not the AI—it’s the legacy infrastructure. Learn how to bridge the friction gap using Restricted Access Agents (RAA) to build a production-ready, secure future for your AI initiatives.
Your AI supply chain is a liability. Atsign secures it with verifiable identities and edge encryption to prevent model theft.
As enterprise AI agents proliferate across multi-cloud environments, traditional network perimeters collapse—requiring identity-first, zero-trust connectivity to contain AI sprawl without sacrificing security.
To safely scale AI agents, enterprises must ditch perimeter-based security and adopt Model Context Protocol (MCP) to enforce cryptographic identity boundaries around sensitive data.
Stacking firewalls and VPNs on top of exposed listening ports won't stop machine-speed AI attacks—true cybersecurity requires removing external attack surfaces at the root network layer.
As AI transforms business, board members must ask critical questions to oversee its safe, secure, and ethical deployment and mitigate new, evolving risks.