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.

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:

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.

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.

The rapid advancement of artificial intelligence (AI), machine learning (ML), and generative AI is transforming the landscape of cybersecurity. Security Operations Centers (SOCs) need smarter, faster, and more efficient solutions to keep up with the scale and sophistication of modern cyber threats.

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.

As we step into 2025, the cybersecurity landscape is growing increasingly complex, driven by the adoption of AI, advanced threats, and evolving geopolitical dynamics. Cybersecurity vendors such as Palo Alto Networks, Google, and others predict substantial challenges in addressing sophisticated attacks, AI-driven exploitation, and supply chain vulnerabilities. Here’s an in-depth look at the emerging threat trends and how AiStrike is well-prepared to combat these challenges.

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.

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.

Security operations (SecOps) teams are under pressure like never before. Threats are evolving, attack surfaces are expanding, and skilled security talent is scarce. To fill the gaps, many organizations turn to Managed Security Service Providers (MSSPs)—but at a steep cost.

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.

As cyber threats grow in complexity and volume, AI-driven Security Automation Solutions (AI SOC) have emerged to automate and accelerate threat investigation and response. These platforms leverage Agentic AI to analyze security signals, investigate anomalies, and automate swift actions. However, the efficacy, cost, and scalability of an AI SOC largely depend on how it ingests and processes security data.

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.

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.

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.

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.

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

The Software-as-a-Service (SaaS) model has dominated the cybersecurity industry for years, offering cloud-based platforms that provide security solutions as a service. Today, with the power of AI, this landscape is evolving. A new paradigm has emerged—Service-as-Software (SaaS 2.0). This shift is transforming how organizations think about security operations, automation, and scalability.

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

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

At AiStrike, we’re revolutionizing cyber defense with AI-powered automation. Our solution integrates with existing security tools to accelerate your cyber defense by automating tasks leveraging patented composite AI models. With over 100 built-in integrations and advanced AI-guided automation, AiStrike empowers security teams to stay ahead of evolving threats. AiStrike’s AI models are run locally, ensuring data privacy and security. For more information, visit www.aistrike.com.

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.

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.