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Continuous feedback loops: Why training your AI-SOC doesn’t stop at deployment
A pre-trained AI-SOC can perform on day one and fail by day ninety. Static models can’t keep up with changing behavior or new threats. A continuously learning AI-SOC can. This article shows how feedback loops turn AI into a true member of the team.
What Happens to MSSPs and MDRs in the Age of the Al-SOC?
MSSPs and MDRs filled a gap, but AI-SOC platforms now let security teams bring more capability in-house. This article explores how AI-driven triage and correlation change cost, visibility, and response for organizations reconsidering managed security.
The buyer’s guide to evaluating an AI-SOC platform
Not all AI-SOC providers are created equal. This guide shows you how to choose the right vendor for your organization and what you need to consider when it comes to architectures, adoption models, risks, and the questions leaders should ask.
AI in the SOC: The trade-offs of training on customer data
The pros and cons of training Agentic AI SOC on customer data.
Implementing a modern SOC: Overcoming the challenges
Facing SOC challenges head-on: Tools, talent, AI, and tactics that actually work.
SOC for all: why every company can now afford one
SOC capabilities aren’t just for the Fortune 500 anymore. Here’s how AI and new models are making them accessible to everyone.
AGI and the future of SOC
Will AGI deliver on its promise or cause more challenges?
The toll of useless alerts: Why SIEMS no longer make sense
SIEMs flood SOC teams with noise and cost. Here's how to take back control, and focus on what really matters.
SOC burnout and how AI can flip the script
Stay updated on current burnout trends for SOC teams and how AI can eliminate this challenge.