Unit 42 is putting the latest frontier cyber models to work across customer environments to find, validate and help remediate the attack paths that matter most.
In May, we introduced Frontier AI Defense with a warning: the window to get ahead of AI-enabled attacks was shorter than most people realized. Since then, we have briefed more than 1,000 security teams around the world and introduced our Frontier AI Defense service to hundreds of customers.
Today, through our partnership with OpenAI, we are expanding Unit 42 Frontier AI Exposure Analysis to put advanced frontier cyber models directly to work in customer environments. Under Unit 42 direction, these models can find exposures, test whether they are exploitable, validate attack paths and help customers prioritize what to fix first.
Our early work shows why this approach matters: 36% of the exposures we identified map to no known CVE, often because they involve multiple gaps that have to be discovered, chained and tested together.
Palo Alto Networks has been among a limited group of organizations with early access to advanced cyber capabilities from the leading frontier AI labs. Through our partnership with OpenAI, Unit 42 can now bring its latest advanced cyber capabilities, including GPT-5.6 Daybreak, to security testing and validation for our customers. Until now, GPT-5.6 Daybreak has not been available for commercial use.
Frontier models have helped inform the work of our experts. Now they can increasingly perform complex offensive security tasks directly, at machine speed and under Unit 42 direction. That allows us to go deeper than traditional vulnerability discovery by testing exploitability, reasoning across multiple weaknesses and determining how an attacker could use them to achieve an objective.
There is no single best model for every cyber task. Our research has shown that different models have different strengths and find vulnerabilities others miss. A multi-model harness routes work to the model best suited for the task, improving efficacy and coverage while managing the cost of frontier AI at scale. As stronger models emerge, we can incorporate them without rebuilding the offering around a single model or provider.
Unit 42 experts remain central to the process. We combine frontier models with our offensive security expertise, Palo Alto Networks telemetry and Unit 42 Threat Intelligence to validate findings, connect exposures into attack paths and understand what an attacker could ultimately achieve.
The expanded service brings five capabilities together:
Most security teams already have more findings than they can act on. The harder problem is knowing which ones create a real path to compromise. Attackers look across applications, infrastructure, identity and cloud for weaknesses they can combine to achieve an objective. Frontier AI Exposure Analysis applies that same adversarial perspective, helping defenders understand which paths matter and what to fix first.
For the past several months, frontier AI has been a story about what is coming for defenders: vulnerability discovery at scale, exploit chaining that sees full-stack logic no scanner catches, and attack cycles compressed to seconds from initial access to exfiltration.
All of that is still true. Our answer has been to put everything we learn testing these frontier models into the hands of defenders. Today, that gets more direct: not just what frontier models have taught us, but the models themselves, working in your environment for your defenders before those same capabilities are working for the attacker.
The window is still closing. We intend to spend it building on the side of the defenders.
Visit Palo Alto Networks Frontier AI Defense to learn more.
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。