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AI SOC Agents are going through a hype cycle. If we're going by Gartner's Hype Cycle for Security Operations, 2025 , this technology is still an "Innovation Trigger", but it's at the cusp of "Peak of Inflated Expectations". Every vendor claims their solution will revolutionize security operations. Every conference features another keynote promising autonomous defense. And every CISO is being asked whether AI will replace their security team. At Redis, implementing AI in the SOC has been more of a measured journey. The model is more of a hybrid SOC, so there's a combination of external service providers as well as internal resources. In this case, Prophet Security is currently proving themselves alongside a more traditional MDR provider.  But let's take a step back.  The Tipping Point for AI Adoption within the SOC Considering an AI solution for Redis' SOC came down to the confluence of three drivers.  On an individual level, there was more value from AI tools an...

For nearly two decades, managed-security models have defined how most organizations handle detection and response. Faced with alert overload, chronic staffing shortages, and the high cost of 24/7 coverage, many teams turned to Managed Security Service Providers (MSSPs) and later to Managed Detection and Response (MDR) vendors to fill the gap. Beyond staffing and capacity, many also lacked in-house expertise in building detection systems. It was a rational choice. MSSPs and MDRs provided 24/7 monitoring, experienced analysts, and predictable coverage. They gave companies without an in-house SOC a viable way to maintain security coverage in an increasingly complex threat landscape. But the ground has shifted. AI-driven SOC platforms are now automating large parts of what human analysts once did: triaging alerts, correlating signals, enriching incidents, and recommending or even executing responses. That raises a simple but profound question: what happens to the managed-security m...

In a matter of months, AI became a tool relied on for daily critical tasks. Now, we are seeing it used just as easily to attack systems, deceive users, or even manipulate data. While full capabilities are still being explored, the most significant threats posed by AI are yet unknown. Even without knowing exactly what's coming, organizations can take meaningful steps now and develop identity security strategies to defend against AI-driven threats to avoid being an easy target. Suggestion 1: Start with the basics In the face of unknown AI-driven threats, one of the best places to start is with an identity security strategy that addresses the fundamentals.  When it comes to identity and access management, solutions that offer 'Preemptive Defense' (a term coined by Gartner) allow detection and protection before a user even authenticates to your systems. Think IP reputation checks, web application firewalls, machine learning-based risk scoring, user policies and app policies. Risky...

For most of its history, the Security Operations Center (SOC) has been a privilege of the few. Building one meant millions in technology spend and round-the-clock analyst coverage. Unsurprisingly, for years, SOCs were a privilege of the few -  large enterprises and organizations with high-risk profiles, where budgets and scale justified the investment. Everyone else was left with partial coverage or had to outsource. That reality is changing. AI has flipped the SOC equation. What was once out of reach for all but the largest enterprises is now accessible and affordable for nearly every company that needs one. The risk every company faces By now, almost any 9-year-old knows that cyberattacks threaten every company . It's no longer just banks and financial giants in the crosshairs. Over the past decade, cyberattacks have expanded into every sector, from e-commerce sites to research institutes to local hospitals. Recent data from the 'VikingCloud 2025 SMB Threat Landscape' repo...

At some point in the last decade, SIEMs turned into that one friend who always promises to help you move, then shows up late, eats all your pizza, and still expects gas money. They were supposed to deliver centralized visibility and faster investigations. Instead, most SOC teams ended up with endless alerts, eye-watering bills, and dashboards that look impressive on the big screen but don't actually stop attackers. So, how did we end up here? A short history: when SIEMs were actually useful Back when firewalls were still exciting, SIEMs solved a real problem: logs scattered everywhere, auditors breathing down your neck, and no way to answer "who logged into what, when?" Then came the "next-gen" era. Vendors promised smarter detection, correlations across your stack, and even a pinch of threat intel. The promise was fewer false positives and a faster response. But instead of taming noise, NG SIEMs just amplified it. It was like turning up the volume on a broken radio and calling ...

The Perfect Recipe for Endpoint Security Calls for Privilege Control Today's most effective ransomware attacks don't require malware; they require a login. Modern threat actors don't need to break in. They can leverage legitimate identities and their privileges to gain a foothold, then continue to capitalize on them, moving laterally to probe for more opportunities and manipulate vulnerabilities and exploits to spread ransomware and spyware. A vulnerable identity or account tied to an endpoint can quickly become an attacker's ticket to your most valuable assets and controls.  With legitimate identities being used as the initial foothold in more attacks, we're seeing less 'anomalous' activity and far more seemingly normal actions performed by a trusted, privileged user. And attackers are keenly aware of how easily they can 'hide' behind these legitimate user accounts.  This is why Endpoint Detection and Response (EDR) is really only one piece of the endpoint protection puzz...

Data Resilience is No Longer Optional Even in 2025, over half of all businesses suffer devastating data loss from ransomware attacks, configuration errors, or system crashes — yet only 15% of enterprises treat SaaS data backup as a strategic priority. While that number is projected to surge to 75% by 2028 , many organizations today overlook this critical component and risk falling dangerously behind or worse.  Data protection is more than an IT issue, and it takes more than your standard backup solution to reconcile this problem. As threats evolve rapidly, data protection is now an essential strategic priority. Businesses must respond by building resilient, cloud-native backup strategies that ensure data stays protected, available, and uncompromised, no matter the circumstances. Breaking Free from Legacy Constraints with SaaS-Driven Flexibility The modern enterprise landscape has transformed. Hybrid and multi-cloud environments have overcome their once-trendy labels, having b...

Starting from ground 0 Active Directory is currently installed in over 90% of the Fortune 1000 companies . Because of its prevalence, and the value of the information it maintains, we know it's a primary target for threat actors.  To protect Active Directory and other valuable assets of similar sensitivity, Microsoft introduced the concept of the Red Forest, a security architecture designed to protect Active Directory forests from cyberattack. Red Forest worked to containerize a hardened forest, separate from other forests, using buffer zones and policies to restrict activity. This concept, also known as Enhanced Security Admin Environment ESAE) came about in 2014. The separation of high value, highly sensitive forests in Active Directory from other systems and assets is critically important to protect the content housed within. Using the most modern approach available at any given time will help to thwart threat actors who are continuously searching for a way to infiltrate yo...