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When Your $2M Security Detection Fails: Can your SOC Save You?
When your $2M in detection tools inevitably fail, your SOC is the only thing standing between a missed alert and a catastrophic breach. Without a strong last line of defense, you're leaving the door wide open to threats that detection was never actually built to catch.
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.
How to convince the board to level up SOC maturity
Guidance on how to win budget for upgrading your SOC maturity.
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.
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.
Training high-performance SOC engineers
Explore how to effectively train your SOC engineers, from foundational knowledge to advanced capabilities