Security teams worldwide all experience a similar shared frustration: the overwhelming volumes of low-fidelity alerts and false positives that SOCs receive every day.
Eliminating the burden on SOC analysts is mission-critical to proactive threat hunting and supercharging risk posture.
I had the pleasure of speaking with Shailesh Rao, President of Cortex at Palo Alto Networks.
He shares his insights on modernizing the SOC by harnessing artificial intelligence and machine learning.
From ransomware to espionage attacks, cyberattacks are becoming increasingly harder to defend against.
Imagine that you have two security tools in your infrastructure.
Rao explains that there are at least three points vulnerable to compromise - each of the tools and the interface between them.
If you have three tools, that number becomes six points.
Malicious actors can use AI and ML to generate attacks at scale and overwhelm traditional cyber defenses.
This will have a tremendous impact on an organization's mean time to detect and mean time to respond.
Our Unit 42 Incident Response team recently observed a breach where a threat actor exfiltrated 2.5 terabytes of data in just 12 hours.
Considering that elusive threats can sometimes cause days or weeks of dwell time, security teams are pressed to improve their MTTD and MTTR metrics.
Rao also emphasizes that with the increasing pace of new attacks, organizations need more than human analysts on the defensive.
AI in cybersecurity has seen tremendous progress in the past year, but Rao is clear on differentiating generative AI from the AI used in cybersecurity.
Security teams cannot afford to make mistakes, so AI should be held to the same level of vigilance.
A Look at Palo Alto Networks SOC. Building on our conversation about AI in cybersecurity, Rao uses our own security operations center at Palo Alto Networks as a great example.
Rao points to our AI-driven SOC platform, Cortex XSIAM, as the engine behind our nimble and highly optimized team.
XSIAM consolidates security data from across the enterprise and stitches it together to automatically stop threats in real-time, requiring minimal human intervention.
In today's rapidly changing threat landscape, security leaders now have an opportunity to rethink their defenses and use the latest in AI to protect their organizations.
A platform approach is the best way to build an AI-powered risk posture and accurately detect and stop threats at scale.
This Cyber News was published on www.paloaltonetworks.com. Publication date: Fri, 05 Jan 2024 14:13:06 +0000