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AI Access Security enables
your workforce to safely
harness the power of GenAI

Protection that goes smarter with every threat.

It's time to
fight AI with AI.

Stop AI-generated threats in real time.

This isn't Sci-Fi. This is Precision AI®

GenAI apps are an emerging source of risk

Data exposure risks
Security posture challenges
Employee risks and policy issues
Expanding AI attack vectors
01
Data exposure risks

GenAI apps can inadvertently expose sensitive company data, such as intellectual property, trade secrets, source code, financial records and customer information. Any exposure of this data leads to significant business and compliance risks.

02
Security posture challenges

The proliferation and complexity of GenAI apps make it challenging to identify, categorize and monitor its usage effectively. This impacts the overall security posture and risk exposure.

03
Employee risks and policy issues

The absence of clear GenAI usage policies and technical enablement can lead to employee dissatisfaction, reduced productivity and the potential for employees to circumvent bans or restrictions on GenAI app usage.

04
Expanding AI attack vectors

The widespread availability of public GenAI tools creates new avenues for cybercriminals to exploit, from issuing malicious prompts to accessing and misusing intellectual property, spreading malware and compromising cybersecurity defenses.

Unleashing the promise
of GenAI apps Requires comprehensive visibility.

innovation

Gartner Report
Gartner Market Guide
See how the TRiSM framework is designed to help companies securely develop and use AI applications.
Learn more

Explore AI Access Security

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AI Access Security enables the safe use of GenAI apps

VISIBILITY

Gain comprehensive visibility into shadow AI and the broader AI ecosystem.

4000+

GenAI applications

80+

GenAI-specific attributes

300+

ML data classifiers

Access the most up-to-date GenAI app dictionary to accurately discover and categorize GenAI applications, agents and marketplace plugins. Gain real-time visibility into which apps are being used and by whom.

CONTROL

Reduce operational burden by systematically codifying GenAI strategies that avoid reactive app-by-app risk management.

Gain visibility into a SaaS world shaped by AI

Create and Enforce Granular Policies

Classify apps as sanctioned, tolerated or unsanctioned, and implement robust access controls. Administrators can revoke access based on the scope of privileges and risk factors, as well as apply fine-grained control over actions such as upload and download.

Apply Recommended Actions

The Strata™ Copilot helps enforce more effective user access, data and security policies based on real-time traffic. Contextual insights enable tailored copilot recommendations that are based on security best practices.

Apply Recommended Actions
Coach Users on Desired Behavior

Coach Users on Desired Behavior

Proactively reduce employee risk with notifications and user coaching directly from AI Access Security. Employees can understand and correct risky behavior when attempting to access unsanctioned GenAI apps or are about to violate AI usage policies.

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AI Access Security enables your workforce to safely harness the power of GenAI

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PROTECTION

Prevent sensitive data loss and defend against malicious responses, ensuring safe and effective AI adoption.

Data Classification

LLM-powered data classification and context-aware ML models augment traditional DLP techniques for unparalleled sensitive data discovery.

Sensitive data

Inline data detection ensures regulatory compliance and blocks sensitive text- and file-based data transfer to GenAI apps.

Total threats

Protect your organization from malicious URLs and malware in GenAI responses with Palo Alto Networks Precision AI security services.

Events & Resources

Frequently Asked Questions

AI access security is an enterprise framework that provides visibility, risk governance, and data controls over employee interactions with generative AI tools and LLMs. Delivered via cloud security gateways, it enables safe AI adoption while preventing data loss and policy violations.
It uses real-time, inline content inspection and Data Loss Prevention (DLP) engines to scan prompts and attachments before they reach external AI models. This automatically blocks sensitive information like PII, proprietary code, and credentials from being exposed to public training sets.
AI access security continuously monitors network traffic to discover and categorize all AI tools used across an organization. It assesses application risk profiles, allowing security teams to enforce policies like granting read-only access or blocking high-risk tools.
It provides inline threat inspection designed to evaluate both user prompts and model responses for emerging GenAI vulnerabilities. This actively mitigates prompt injection attacks, toxic outputs, and insecure plugins connected to enterprise workflows.
AI access security natively integrates into existing Security Service Edge (SSE) and Next-Generation Firewall architectures. By leveraging existing network gateways, deployment requires no additional endpoint agents or infrastructure changes.

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