“Reducing complexity via platformization is necessary but not sufficient on its own to improve cybersecurity outcomes.Tomorrow’s cybersecurity platforms must integrate the latest in AI advancements to automate the detection, prevention and remediation of millions of new and unique attacks every day with unsurpassed accuracy. In order to achieve this level of precision, these systems must learn from vast quantities of attack data sourced from thousands of organizations globally, leveraging that data to protect against the unknown, instantaneously. In short, better data results in an improvedability to fight bad actors and dramatically better security outcomes.
To help meet the needs of this evolving attack landscape, Palo Alto Networks recently introduced a suite of new AI-powered solutions to help enterprises utilize the capabilities of AI in a way that is secure by design.
This comprehensive offering utilizes a proprietary system called Precision AI to secure business data and application ecosystems by discovering, detecting and preventing even previously unseen cyberattacks.
Palo Alto Networks Precision AI uses three types of AI in tandem: machine learning, deep neural networks and generative AI. The unique way that these work together provides visibility into the entire AI ecosystem, including model, applications and resources, to reduce the risk of data exposure and security incidents.
It is now possible to leverage AI-powered defense to identify and block AI-generated attacks with near real-time detection. Delivering AI as part of a platform reduces risk while simplifying operations, allowing organizations to focus on their business objectives. Most importantly, this approach leverages the power of AI to supercharge cybersecurity and create even better outcomes for enterprise customers.”
AI + Platformization = secure organizations 🔒
Anand Oswal shares how Precision AI™ by Palo Alto Networks protects business data and application ecosystems by discovering, detecting, and preventing cyberattacks. Get the details. https://bit.ly/3xNMvNX