Palo Alto Networks Unveils AI Cybersecurity Service Powered by Claude and GPT Models

Palo Alto Networks launching Unit 42 Continuous Frontier AI Defense using Claude and GPT models to stop cyber threats.
PALO ALTO NETWORKS

Palo Alto Networks launches a new cybersecurity service powered by Claude and GPT models to automatically find and fix computer flaws.

Palo Alto Networks has launched a new subscription security service called Unit 42 Continuous Frontier AI Defense to help businesses automatically scan, find, and repair digital vulnerabilities inside their computer networks.

Rather than relying on human security guards to manually inspect software code once or twice a year, the new system connects directly to advanced artificial intelligence models, including Anthropic’s Claude Mythos and OpenAI’s GPT systems.

By routing security checks through these smart computer programs, the tool acts like an automated digital inspector, constantly testing corporate websites, cloud storage apps, and private databases to fix weak spots before criminal hackers can exploit them.

The major technology release was officially announced by Palo Alto Networks from its corporate headquarters in Santa Clara, California, on Tuesday, September 22, 2026, as reported across international financial news feeds.

The commercial launch follows 6 months of rigorous internal testing backed by a  $17 million research investment. During trial runs across more than 100 enterprise clients, internal scans uncovered a full year’s worth of hidden security flaws in just three weeks.

The company confirmed that the automated defense service is immediately available worldwide for businesses of all sizes.

The primary reason Palo Alto Networks is releasing this automated AI service right now is that online thieves and state-sponsored hackers are using smart software to spot computer flaws faster than ever before.

Traditional cybersecurity checks take human experts weeks or months to complete, leaving long gaps where bad actors can break into systems unnoticed.

See Also: Anthropic CEO Dario Amodei to Brief UN Security Council on Global AI Risks

By using a multi-model AI system that works around the clock at computer speed, companies can simulate real world hacking attempts, discover security weaknesses immediately, and close digital backdoors in hours instead of months.

Explaining how criminal hackers are using automated tools to gain an unfair advantage over traditional human security teams, Palo Alto Networks Senior Vice President of Unit 42 Sam Rubin stated that “AI has created an asymmetric advantage for threat actors against organizations trying to defend at human speed”.

Detailing why modern businesses must adopt automated software to match the speed of modern online threats, Sam Rubin added that “modern cybersecurity requires machine-speed defense,” emphasizing that “we’re combining Unit 42’s offensive testing and threat intelligence expertise with industry-leading AI harnesses and exclusive access to gated capability models to give defenders back the upper hand”.

Highlighting how thorough testing revealed widespread security gaps across evaluated corporate networks, security researchers reviewing the rollout observed that “customer assessments found exposures in 100% of organizations tested, with 37% of those rated high or critical in severity,” proving that continuous software checks are essential for keeping private systems safe.

By launching an automated security defense powered by Claude and GPT models, Palo Alto Networks is helping businesses stay one step ahead of digital thieves.

Providing continuous protection guarantees that corporate computer networks, private user data, and everyday online services remain safe from cyberattacks.

About the Author

Jennifer Sakmufuwo Baba

Jennifer Sakmufuwo Baba is a tech analyst, senior staff, and writer covering artificial intelligence, cybersecurity , and emerging technologies at TechRegard. Based in Nigeria, she's passionate about translating complex tech developments into compelling, accessible stories for diverse audiences. Her work focuses on how technology shapes innovation across Africa and globally.