Cequence Security today announced the launch of the Cequence Intent Graph alongside Biometric Check to protect enterprises from automated bot traffic. These new capabilities provide behavioral detection and human verification across web, mobile, API, and agentic AI channels. Consequently, organizations can secure their digital assets without relying on traditional client-side signals.
Traditional bot defense mechanisms rely heavily on browser signals such as CAPTCHAs, JavaScript puzzles, and device fingerprints. However, modern attackers use real browsers through proxy networks to bypass these client-side challenges. Meanwhile, automated traffic now accounts for more than half of all global web requests.
The Shift to Agentic Commerce
The rapid adoption of agentic commerce across platforms like ChatGPT, Amazon, and Google requires a new security approach. Legitimate artificial intelligence agents often operate in headless environments where traditional client-side puzzles cannot execute. Furthermore, fast-moving companies frequently deploy updates and cannot afford the time required for software development kit integration.
How Cequence Intent Graph Works
Specifically, the Cequence Intent Graph builds an application-specific behavioral model rather than relying on generic client-side fingerprints. This model maps how real users navigate specific application flows to identify anomalies. As a result, a single detection layer can protect web, mobile, API, and agentic channels. This unified approach strengthens cybersecurity defenses across all digital touchpoints.
Security teams can adjust the behavioral vectors feeding into the detection system without making code changes. During a recent enterprise deployment, the Cequence Intent Graph blocked ten distinct attack iterations over two days. Notably, the system stopped these rotating proxy attacks without presenting any challenges to legitimate customers.
Biometric Check for Human Verification
In addition to behavioral mapping, the company introduced Biometric Check to replace traditional verification methods. This feature uses hardware-bound cryptographic attestation through a device’s secure enclave. Consequently, users can verify their identity in less than a second using Touch ID, Face ID, or Windows Hello.
“The Intent Graph tells you what a user, bot, or AI agent is actually doing on your application, regardless of how it got there.”
Ameya Talwalkar, CEO and Co-Founder of Cequence
Securing High-Stakes AI Workflows
For high-stakes actions like wire transfers or contract modifications, Biometric Check inserts a human-in-the-loop gate. This verification model is particularly relevant for regulated industries such as financial services and healthcare. Meanwhile, the new capabilities are immediately available to customers as part of the unified security platform. Organizations can manage these settings directly through their security apps and management consoles.
