Most practitioners operating in modern enterprise environments recognize that cybersecurity is an increasingly serious data issue. Organizations are bombarded with constant alerts. But CrowdStrike's new AI-powered Indicators of Attack (IOA) could change that. Using cloud technology and machine learning (ML), IOA can discover threats faster and more accurately than ever before. In this analysis, we look at how CrowdStrike, in conjunction with Google Cloud's AI defense initiative, is ushering in a new era of smarter cybersecurity that's ready to meet the challenges ahead .
Dealing with data overload
With countless alerts, notifications, indicators, and telemetry, organizations are obsessed with making sense of their data. Humans have the problem of analyzing data points at the scale and pace that machines produce. His IOA recently published by Crowdstrike can be analyzed Trillion Delivering data points that help predict and stop threats at an unprecedented pace. Powered by AI, IOA detects malicious activity at scale by leveraging real-time intelligence to analyze events at runtime and dynamically generate and issue alerts to sensors across the network and enterprise. prevent it.
IOA not only helps address long-standing challenges such as false positives that can waste limited practitioner time, but also facilitates automated prevention of malicious activity and requires formal designations and identifiers. It can also detect new classes of threats that don't yet exist.
CrowdStrike also aims to facilitate so-called “coming off the boom” or, in other words, staying ahead of actual breaches of IT systems and data. Signs of an attack often exist before a system or organization is successfully compromised. If organizations can take advantage of these metrics, they can stop their impact. in front Complete compromise of sensitive data or systems.
Defender's Dilemma
In addition to Crowdstrike, there is another industry leader that has voiced support for using AI to reduce cybersecurity threats. That's Google Cloud. I recently covered its AI defense initiative on Cybersecurity Minute.
The AI Cyber Defense Initiative says AI can be used to address the “defender's dilemma,” where defenders are unable to respond to threats. Google is collaborating with strategic partners such as the University of Chicago and Carnegie Mellon University to develop research and capabilities that use AI for cyber defense purposes.
Additionally, Google is collaborating with 17 global startups in the US, UK, and EU to develop AI-powered cyber defense capabilities. As shown in the image below from Google, the number of attackers is simply exponentially more than the defenders, and while the defender has to be correct every time, the attacker must be correct only once. It's fine if it's right.
In our publication How AI Can Reverse the Defender's Dilemma, Google presents a variety of use cases where AI can provide value to defenders. This includes summarizing complex and large amounts of data such as vulnerability reports, suspicious behavior, and incident investigations. It also includes categorization of important insights such as identifying malware and code vulnerabilities, which can be categorized and prioritized accordingly. AI can also facilitate attack path simulation, monitor security control performance, and provide notifications related to control failures.
Finally, Google uses AI to create useful tools such as creating detection rules, generating security orchestration and response playbooks, and developing identity and access management (IAM) rules and policies that help implement least-privilege access controls. I'm proposing to create a feature.
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conclusion
Cybersecurity has long-standing workforce challenges. Organizations are unable to attract and retain sufficient cybersecurity talent and, as a result, are often understaffed and under-armed to try to mitigate threats. Leveraging AI can help flip this paradigm, allowing organizations to leverage technology to address workforce shortages while responding to the global and dynamic cybersecurity threats they face. .
While there are undoubtedly legitimate concerns related to the safe use of AI, defenders also need to view AI as a tool that can be used to become more effective. This is exactly what the attacker is doing. By leveraging AI-powered tools and capabilities, cybersecurity leaders and practitioners can address the enormous scale and complexity of modern cloud-native environments while addressing defender dilemmas, workforce challenges, and more. You can address long-standing challenges.
