So first, the real-time mitigation, detection and mitigation. On one hand, we are deepening the usage of algorithms constantly. We started with that many years ago. We have a whole battery of different algorithms across our DDoS both API security, that has been for years, our competitive advantage [Technical Difficulty] prepared remarks for Web DDoS, we believe we are in a competitive advantages using algorithms.
We are using AI, not only for remediation or accelerating certain processes, but for the actual detection and mitigation. That's a bit unique in the market. So that's on our front. I think it improves our capabilities. It improves our efficacy. It improves [Technical Difficulty]. There's a lot of benefits for AI in our land of security.
At the same time, the hackers are also leveraging more and more algorithms, more and more AI. For instance, those Layer 7 attacks, Web DDoS attacks I referred to, they are [Technical Difficulty]. And they are way more real user traffic than we ever saw before. And that poses a huge challenge for the defense because those sessions, this attack looks very, very similar to normal legit traffic. So by using algorithms also on the attacker side, I would say the sophistication, the level of the challenge is increasing significantly.
Taking those 2 parameters into account together, I believe the barrier to entry [Technical Difficulty] mitigating real-time attacks is getting higher and higher. You would need to have years of investment in those algorithms, understanding of the attack tools, et cetera, to be able to do [Technical Difficulty] and therefore, competitively, although on one hand, you can say [Technical Difficulty] getting higher, the defense needs to invest more. All of that is true. But competitively, I think it's actually a good phenomena for our [Technical Difficulty].