Most security teams aren't short on alerts - they're drowning in them. Every day, SOC analysts are expected to investigate alerts coming from soooo many places: - EDR - SIEM - Email security - Cloud security tools Dropzone AI is using AI to investigate many of those alerts before they ever reach a human analyst. AI gathers evidence, builds context, and determines whether something deserves attention or is just noise. That means analysts spend less time triaging alerts and more time focused on actual threats. As attack surfaces continue to grow, security teams need better ways to scale. If you want to check out what they're building, use the 🔗 in my bio! P.S. How much time does your team spend investigating false positives? #Ad #DecibelPartner #workingintech #informationtechnology

How many security alerts do you think a team sees in a day? I must be in the hundreds, 7,000, 2,000, too many. Why is alert for teams such a big issue today? Every single enterprise nowadays on average have somewhere between 50 to 100 security alerts, and typically it takes a human analyst 20 to 40 minutes to thoroughly investigate each alert. For most enterprises, they simply don't have sufficient human headcount to process all the alerts they have in a given day. So how does drops in AI help with this? Yeah, drops on helps by building AI agents that replicate the expert analyst techniques. So we allow security teams to increase the analytical capacity of their team without hiring additional headcount. Ah, so scaling without scaling? Exactly. Yeah, forced multiplying the existing human analysts and engineers with an army of AI bots. Amazing, and where can people go if they want to learn more about this? Yeah, folks can learn more about drops on by visiting our website dropzone.org. Okay, perfect. Well, very nice to meet you. Thank you. Thank you for spending time with me. Likewise.