Palo Alto Networks Launches AI Cybersecurity Service to Find Vulnerabilities Around the Clock

Cybersecurity companies are increasingly turning to AI as hackers use the technology to find and exploit weaknesses in corporate networks. Palo Alto Networks is now adding another AI-powered layer to enterprise security with a service designed to continuously look for vulnerabilities and possible attack paths.

Called Unit 42 Continuous Frontier AI Defence, the service uses AI models from Anthropic and OpenAI alongside open-weight models to test corporate systems as their digital environments change.

Palo Alto Networks Brings Continuous AI Testing to Enterprise Security

The new service is designed around continuous security testing rather than relying only on periodic assessments. It can test web applications, application programming interfaces and cloud infrastructure for vulnerabilities and potential attack paths.

Unit 42 Continuous Frontier AI Defence is designed to continuously test systems as an organisation's digital environment changes.

That approach puts vulnerability discovery closer to the pace of modern software development, where applications and infrastructure can change frequently. It also makes areas such as ethical hacking increasingly relevant for understanding how weaknesses can be identified and potentially exploited.

Claude and GPT Models Join Forces for Security Testing

Unit 42 Continuous Frontier AI Defence will use Anthropic's Claude Mythos 5 and OpenAI's GPT-5.6-Cyber, along with open-weight models.

Rather than depending on one model, Palo Alto Networks says the service will use a combination of models to help identify security vulnerabilities across corporate systems. Reuters reports that the mix of models selected by customers will also influence the service's pricing.

The service combines Claude Mythos 5, GPT-5.6-Cyber and open-weight models for security testing.

Using several models for different tasks is becoming an important part of building AI-powered systems. The same approach is relevant when working with model selection and AI application development in Gen AI Engineering.

From Finding Vulnerabilities to Mapping Potential Attack Paths

Finding a vulnerability is only part of securing an environment. Unit 42 Continuous Frontier AI Defence is designed to identify possible attack paths and help organisations understand where security gaps could lead.

Palo Alto Networks says the service will also provide guidance for fixing those gaps, including code-level fixes and virtual patching options.

That brings security testing closer to the development process itself, where vulnerabilities can be addressed through changes to application code or infrastructure. For teams working across development and testing workflows, Software Testing with AI is closely aligned with this shift.

Why Continuous Testing Matters as Digital Environments Change

Enterprise systems are rarely static. New applications, APIs and cloud resources can introduce new security weaknesses, making it difficult for organisations to rely entirely on assessments performed at fixed intervals.

Unit 42 is designed to continuously test these environments and identify vulnerabilities and possible attack paths as changes occur.

This also connects security more closely with cloud infrastructure and deployment workflows, where development and operations teams are responsible for constantly changing environments. DevOps and Cloud Computing provide relevant context around these development and infrastructure practices.

The New AI Security Service Is Headed for Global Availability

Palo Alto Networks said Unit 42 Continuous Frontier AI Defence will be available globally through annual subscriptions.

Pricing will depend on the combination of OpenAI, Anthropic and open-source models selected by customers, giving organisations flexibility over the AI models used for their security testing.

The launch comes as cybersecurity companies face growing pressure to respond to AI-assisted attacks with faster detection and defence capabilities.

AI Could Reshape How Companies Find and Fix Security Gaps

Palo Alto Networks' launch reflects a broader shift in cybersecurity toward using AI not just for threat detection, but also for continuously testing systems for weaknesses.

By combining Claude, GPT and open-weight models with vulnerability testing and remediation guidance, Unit 42 is designed to help security teams identify potential exposures as their environments evolve.

The service brings AI into vulnerability discovery, attack-path analysis and remediation rather than limiting it to threat detection.

Palo Alto Networks' new service brings continuous AI-powered vulnerability testing to enterprise security. The launch shows how AI is becoming part of both finding security weaknesses and helping organisations address them.