New collaboration bridges the gap between identity, payments, and security for AI-driven digital interactions
Skyfire, the world’s only identity and payments network built specifically for the AI Agent economy, has announced a strategic partnership with Cequence Security, a leader in API security and bot management. The collaboration aims to unlock secure, compliant access to digital services for autonomous AI agents—an essential step as AI-driven automation becomes a core part of online engagement. Cequence currently protects over 8 billion API transactions daily and safeguards more than 3 billion user accounts across top-tier Fortune and Global 500 organizations.
Traditionally, Cequence’s platform has distinguished between malicious bots and beneficial automation. Now, with integrated support for Skyfire’s protocol, Cequence can identify and authorize trusted Skyfire-verified AI agents. This enhancement enables a new level of programmable, secure access to websites, APIs, and digital platforms, creating fresh revenue opportunities for data providers and digital service operators.
AI agents are quickly emerging as a new class of internet users. However, many digital systems—such as subscription-based websites and gated APIs—are designed for human users, requiring manual signup, verification, login, and payment. These human-centric processes act as roadblocks for AI agents, which often lack traditional credentials or identities and are therefore denied access.
Skyfire addresses this challenge by delivering agent-native infrastructure for both identity and payments. With Skyfire, AI agents can programmatically authenticate themselves and present valid payment methods, bypassing the need for manual account creation or pre-existing agreements. This seamless, peer-to-peer access extends to any digital asset—from public content to private APIs—mirroring the access patterns of human users.
With the new integration, Cequence now natively supports Skyfire’s identity and payment framework, empowering cybersecurity teams to confidently recognize and approve legitimate AI agents—while continuing to defend against scraping, fraud, and other automated threats.
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“AI agents aren’t just scraping the surface of the web anymore. They’re transacting, subscribing, booking, and buying. But they’ve been locked out by security measures that assume every brand engagement is coming from a user who has fingers and a keyboard,” said Amir Sarhangi, CEO and co-founder of Skyfire. “Through our partnership with Cequence, we’re enabling an internet where agents are first-class participants in the digital economy, and where identity and security protocols work with them, not against them.”
Skyfire’s platform equips each AI agent with a programmable wallet that supports funding mechanisms such as cards, ACH transfers, wire payments, and USDC. These wallets are also embedded with identity credentials and enterprise-grade payment rules. On the security side, Cequence employs advanced machine learning to analyze traffic behavior, usage intent, and contextual signals—now enriched with Skyfire-issued identifiers—to ensure the legitimacy and monetization potential of incoming AI interactions. The result is secure, policy-compliant access for AI agents without compromising enterprise security standards.
This alliance addresses a fundamental barrier in the AI economy: AI agents’ inability to access and transact with valuable digital resources due to identity, payment, and security constraints. The joint solution bridges this divide—enabling businesses to monetize AI-driven interactions while maintaining robust defenses.
Where API security once focused solely on stopping attacks, the future now includes recognizing and accommodating trusted, intelligent automation—without affecting application performance, uptime, or user experience.
Cequence stands out as the only platform offering deep API visibility coupled with native enforcement capabilities. This allows teams to detect unusual behaviors, understand automation intent, and take action in real-time—without altering app code or depending on external plugins.
Unlike solutions that rely on scripts, SDKs, or generalized risk assessments, Cequence uses traffic-aware, context-driven detection methods powered by machine learning that evolves with each interaction. This modern approach equips security professionals to handle today’s dynamic threats—and now, it also empowers them to welcome AI agents safely into the digital fold.