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Adopt AI at full speed. Without losing control.

Integrity secures enterprise AI on Cloudflare — every model call inspected, every identity verified, every prompt accounted for.

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Ten stations. One secure edge.

Explore how Integrity and Cloudflare defend enterprise AI — from gateway to governance.

AI Security
Platform
AI Gateway & guardrails

Every prompt is an egress event.

The moment a prompt leaves your perimeter, sensitive context goes with it. Cloudflare's AI Gateway puts policy, logging and rate control in front of every model — managed or third-party — so adoption never outpaces governance.

Inspect, log and shape every call. Make AI auditable by default.

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Zero Trust

An agent is a privileged identity that thinks.

Autonomous agents act with credentials, reach across systems and make decisions at machine speed. Zero Trust Access treats every non-human identity like a user — verified, scoped and continuously evaluated before it touches a single internal app.

No implicit trust. Not for people. Not for the machines they deploy.

Shadow-AI governance

You can't secure the AI you can't see.

Employees reach for whatever model gets the job done. Shadow AI Governance surfaces every unsanctioned tool, scores the risk, and brings it under policy — turning blind spots into a managed, visible inventory.

Discover. Classify. Govern. Then say yes with confidence.

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From the Edge — Cloudflare & Security

Field notes on securing AI.

Perspectives on AI security, Zero Trust and the edge — written live by Cloudflare Workers AI.

Why every prompt is an egress event

As enterprise security leaders continue to navigate the complexities of AI security, a critical yet often overlooked reality has emerged: every prompt is an egress event. This concept fundamentally shifts how we think about data security in the age of artificial intelligence. When users interact with AI models, whether through chat interfaces, API calls, or other means, they are effectively transmitting sensitive information out of the organization's secure environment. This transmission, or egress, of data poses significant risks if not properly managed.

Traditional security measures often focus on protecting data at rest or in transit within the organization's network. However, the interaction with AI models introduces a new vector of data egress that requires immediate attention. Each prompt entered into an AI system can be considered a discrete egress event because it involves the movement of data from the organization's controlled environment to an external system, which may or may not have equivalent security controls in place. This is true regardless of whether the AI model is hosted internally, by a third-party provider, or in the cloud.

The implications of this reality are profound. It necessitates a reevaluation of data loss prevention (DLP) strategies, as traditional approaches may not adequately address the nuances of AI-driven interactions. Moreover, it underscores the importance of implementing robust security — with Cloudflare and Integrity at the core.

Written by Cloudflare Workers AI

Zero Trust for non-human identities

Zero Trust for non-human identities is a critical component of modern enterprise security strategies. As organizations increasingly rely on automation, machine learning, and cloud-native applications, the number of non-human identities - such as service accounts, API keys, and bots - has exploded. These non-human identities often possess elevated privileges and can access sensitive data, making them a prime target for attackers. Traditional security approaches, which focus on human identities, are insufficient to address the unique challenges posed by non-human identities.

A Zero Trust approach to non-human identities involves verifying and validating every machine and service account that accesses enterprise resources, regardless of its location or network connection. This requires implementing robust authentication and authorization mechanisms, such as mutual TLS, JSON Web Tokens, and attribute-based access control. By assuming that all non-human identities are potentially compromised, organizations can minimize the blast radius of a potential breach and prevent lateral movement.

Effective Zero Trust for non-human identities also requires continuous monitoring and visibility into machine-to-machine interactions. This enables security teams to detect and respond to anomalous behavior, such as unusual API calls or suspicious data transfers. Cloudflare provides a comprehensive platform for securing non-human identities, including advanced bot management, API security, and Zero Trust network access. By integrating these capabilities into their security architecture, enterprise leaders — with Cloudflare and Integrity at the core.

Written by Cloudflare Workers AI

Stopping prompt injection at the edge

Stopping prompt injection at the edge is a critical concern for enterprise security leaders as AI-powered applications become increasingly integral to business operations. Prompt injection attacks, a type of vulnerability that exploits the interaction between users and AI models, can have devastating consequences, including data breaches, system compromise, and manipulation of sensitive information. Traditional security measures often fall short in detecting and preventing these types of attacks, which is why a new approach is needed.

By leveraging Cloudflare's global network and advanced security features, enterprises can effectively stop prompt injection attacks at the edge, before they even reach the application or AI model. This approach enables organizations to inspect and analyze incoming traffic, identifying potential threats and blocking malicious requests in real-time. By doing so, enterprises can prevent attackers from injecting malicious prompts that could compromise the AI model or extract sensitive data.

Cloudflare's edge-based security solution provides a robust defense against prompt injection attacks, allowing enterprises to safeguard their AI-powered applications and protect sensitive information. With its advanced threat detection and prevention capabilities, Cloudflare's platform can identify and block even the most sophisticated attacks, giving enterprises confidence in their ability to secure their AI environments. By stopping prompt injection attacks at the edge, enterprises can ensure the integrity and reliability of their AI-powered applications, while also protecting sensitive data and — with Cloudflare and Integrity at the core.

Written by Cloudflare Workers AI

Bot management in the age of AI scrapers

Bot management in the age of AI scrapers has become a pressing concern for enterprise security leaders. The rise of artificial intelligence has enabled the creation of sophisticated bots that can scrape websites, extract sensitive data, and evade traditional security measures. These AI-powered scrapers can mimic human behavior, making them increasingly difficult to detect and block. As a result, enterprises are facing a new wave of bot-driven threats that can compromise their data, disrupt their operations, and damage their reputation.

Traditional bot management solutions, which rely on signature-based detection and IP blocking, are no longer effective against AI scrapers. These bots can change their behavior, IP addresses, and user agent strings to evade detection, rendering traditional security measures useless. To combat this threat, enterprises need a more advanced bot management solution that can detect and block AI-powered scrapers in real-time. Cloudflare's bot management solution uses machine learning algorithms and behavioral analysis to identify and block malicious bots, including AI scrapers.

By integrating with Cloudflare's global network, enterprises can leverage a vast amount of traffic data to improve the accuracy of bot detection and blocking. This approach enables enterprises to stay ahead of the evolving bot threat landscape and protect their websites, applications, and APIs from AI-powered scrapers. With Cloudflare's — with Cloudflare and Integrity at the core.

Written by Cloudflare Workers AI

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