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Global Software Design Company Leverages AiStrike to Investigate Cloud Alerts

Transforming to an AI-Powered Self-Improving SOC

Most SOCs worry about false positives — the noisy alerts that eat away analyst time and slow down response. But what if the real killer isn’t the noise you hear, but the silence you don’t?

How AiStrike transforms ticketing data into continuous cybersecurity improvement.

Security leaders have spent years investing in SIEM, EDR, XDR, and now “SOC automation.” Yet one persistent problem continues to plague security operations: alert fatigue.

“Quality" is no longer just about something working as expected; especially in the world of modern product development.

We all know the promise of AI SOC automation using AI-driven automation to reduce the time and resources needed for threat response.

Following the launch of our Detection Optimization capability at RSAC 2025, we want to share more about the broader vision behind it—and where AiStrike is headed next.

All alerts are not equal. Yet somehow, every alert becomes the SOC’s problem. Every day, SIEM and CNAPP tools flood the SOC with alerts — but take a closer look, and they generally fall into four categories:

I got this question last week from one of the largest financial institutions: “When you’re looking at millions of CSPM alerts, do you actually investigate them or just treat them as hygiene issues and assign them to the cloud team?” Honestly, it’s a fair question—and one a lot of teams are probably asking themselves.

AI SOC tools today seem fixated onspeed—how quickly they can investigate and how many issues they can call falsepositives. But at AiStrike, we’re taking a slightly different approach.

Reuniting a Proven Leadership Team to Build the Future of Autonomous Security Operations.

Guidelines for selecting the most suitable CMS for your project.

Exploring the advantages of utilizing a CMS for website management.

Former CrowdStrike Executive with over 30 years of experience in Cybersecurity and Product Development joins AiStrike, the startup redefining AI-Powered Security Automation.

This guide provides CISOs with a comprehensive understanding of how AI-driven automation can revolutionize cloud security operations, enhancing both efficiency and effectiveness.

In today's landscape of relentless cyber-attacks, organizations are facing increasing threats to their critical assets. Security detection tools like SIEM, XDR, and CNAPP generate vast volumes of alerts—often lacking sufficient context—leaving security teams overwhelmed with alert backlog. With limited resources and insufficient business context, prioritizing critical alerts that require immediate action becomes a significant challenge.

Cloud infrastructure today is the primary target for malicious actors. The risk of exposure of cloud assets continues to grow as organizations expand their cloud footprint and new cyberattacks targeting cloud infrastructure emerge.