Modern cybersecurity teams are overwhelmed by a relentless flood of alerts, each demanding attention. Investigating these in isolation not only drains analysts but also obscures the bigger picture—how individual alerts might connect to a broader, more sophisticated attack.

Employee Appreciation is a key motivator and a cornerstone of building an effective work culture. Recognizing employees keeps them engaged and happier, which in turn encourages high performance and aids in retention.

As the Gartner Hype Cycle for Artificial Intelligence released on November 11, 2024, reveals the evolving landscape of AI technologies, AiStrike’s forward-thinking approach to AI implementation stands as a testament to strategic foresight in cybersecurity. Founded at the dawn of the GenAI revolution, our platform’s architecture aligns remarkably with key trends Gartner has identified—especially in areas where many organizations are only beginning to venture.

In today’s cybersecurity landscape, the volume and variety of alerts generated by security tools can easily overwhelm even the most seasoned security operations teams. Between noise, false positives, and the difficulty of detecting advanced threats, the challenge isn’t just in spotting potential issues—it’s in understanding how they interrelate, prioritizing them, and identifying the root cause. AI-powered grouping and visualization offers a powerful solution, enabling cybersecurity teams to detect attack patterns, contextualize issues, and quickly zero in on the root cause.

In the rapidly evolving landscape of cloud security, privilege escalation and lateral movement present significant threats that can compromise the integrity of your cloud environment. Cloud Security tools such as Cloud-Native Application Protection Platforms (CNAPPs) or Cloud Security Posture Management Platforms (CSPMs), are effective at identifying point-in-time vulnerabilities and misconfigurations, providing visibility into your inherent security risk posture. AiStrike complements these platforms - focusing on the investigation of real-time alerts and providing targeted response automation capabilities.

There were 97 zero-day vulnerabilities exploited in 2023, up from 62 in 2022. And increasingly, security operations teams have to keep up with news and updates on vulnerabilities that are found regularly, in addition to their day jobs. With the proliferation and sophistication of cybersecurity products, malicious actors will focus more on zero-days to gain access to organizations. The MOVEit zero-day is a prime example of the widespread effect a single zero-day can have. So, SOC teams challenged with staying up-to-date with zero-days and emerging threats need a way to effectively track, detect, and remediate these threats to their organizations.

In an era where cyber threats are evolving at an unprecedented pace, the need for emerging threat intelligence and response mechanisms has never been more critical. At AiStrike, we've pioneered a custom Large Language Model (LLM) designed to stay ahead of the curve by identifying and analyzing the latest emerging threats, indicators of compromise (IOCs), and tactics, techniques, and procedures (TTPs) used by malicious actors. The AI automations also include the ability to simulate an attack pattern and understand business context to improve risk-based prioritization. Below is a sneak-peak at how we have developed this differentiated approach to cloud exposure management and how it’s supercharging cloud security operations.

Identity is the new security perimeter. This is especially true for the cloud-native environments where most critical resources are just one hop away.

Transforming to an AI-Powered Self-Improving SOC

Global Software Design Company Leverages AiStrike to Investigate Cloud Alerts

The era of purely reactive security operations is over. AiStrike, a cybersecurity company pioneering AI-native, preemptive cyber defense, today announced it has raised $7 million in Seed funding to scale its agentic AI platform for security operations. The round was led by Blumberg Capital, with participation from Runtime Ventures, Oregon Venture Fund, and strategic angel investors.

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

San Francisco, CA – April 14, 2025 – AiStrike, the AI SOC automation platform transforming cybersecurity operations, today announced the launch of its AI Agents for Detection Optimization—a first-of-its-kind capability that helps security teams improve detection quality, eliminate blind spots, and reduce alert noise by automatically identifying coverage gaps and tuning detections in real time.

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

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Guidelines for selecting the most suitable CMS for your project.

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.

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