Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The dynamism of Artificial Intelligence (AI) is transforming not only the tech landscape but also various sectors of human activity at breakneck speeds. Unfortunately, with any progress in technology, these advances aren’t only being applied in beneficial ways.

Unless you have been living under a rock, you have seen, heard, and interacted with Generative AI in the workplace. To boot, nearly every company is saying something to the effect of “our AI platform can help achieve better results, faster,” making it very confusing to know who is for real and who is simply riding the massive tidal wave that is Generative AI.

Today, Cato is furthering our goal of simplifying security operations with two important additions to Cato SASE Cloud. First, we’re leveraging generative AI to summarize all the indicators related to a security issue. Second, we tapped ML to accelerate the identification and ranking of threats by finding similar past threats across an individual customer’s account and all Cato accounts.

Most WAF providers rely on reactive methods, responding to vulnerabilities after they have been discovered and exploited. However, we believe in proactively addressing potential risks, and using AI to achieve this. Today we are sharing a recent example of a critical vulnerability (CVE-2023-46805 and CVE-2024-21887) and how Cloudflare's Attack Score powered by AI, and Emergency Rules in the WAF have countered this threat.

This blog is part of a series about how to use Vanta and AWS to simplify your organization’s cloud security. To learn more about how to use Vanta and AWS, watch our Coffee and Compliance on-demand webinar. ‍ Amazon Web Services, or AWS, is one of the most popular cloud providers for organizations today — providing one of the most flexible and secure cloud environments available.

Implementation of a DevSecOps approach is the most impactful key factor in the total cost of a data breach. Successful DevSecOps in a cloud-native world is aided by the right tools. Here are a handful of the most essential cloud security tools and what to look for in them to aid DevSecOps.

McKinsey is calling 2023 “generative AI’s breakout year.” In one of their recent surveys, a third of respondents reported their organizations use GenAI regularly in at least one business function. But as advancements in AI continue to reshape the tech landscape, many CCISOs are left grappling with this question: How does AI impact software development cycles and the overall security of business applications?

I am not scared of AI. What I mean is that I do not think AI is going to kill humanity Terminator-style. I think AI is going to be responsible for more cybercrime and more realistic phishing messages, but it is already pretty bad. Social engineering, without AI, is already involved in 70% - 90% of successful cyber attacks.