Whether you’re looking at emerging vendors, evolving threats, or shifting architectures, our timely, opinionated insights help modern security leaders make smarter, faster decisions.

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

SAN FRANCISCO, CA – [02-04-2026] – AiStrike, an AI-native cyber defense platform built for modern security operations, today announced the launch of AiStrike MDR, an AI-powered Managed Detection and Response (MDR) service designed to replace traditional, human-heavy MDR with an AI-led, expert-guided operating model built for scale, speed, and measurable outcomes.

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.

Exploring the advantages of utilizing a CMS for website management.

Guidelines for selecting the most suitable CMS for your project.

MSSPs are under constant pressure to support more customers and increasingly complex environments while maintaining consistent response, coverage, and service quality. Traditional MDR models rely heavily on manual investigation, detection tuning, and analyst-driven workflows, making it difficult to scale operations and deliver proactive outcomes across tenants.

Security teams are overwhelmed by alert volume while real threats still slip through. Traditional SIEM and XDR platforms generate high-noise signals, and many AI SOC tools focus on faster triage without addressing detection gaps or true risk exposure.

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.