Last updated at Wed, 23 Mar 2022 18:34:48 GMT
Let’s start with the conclusion: Security incident and event management (SIEM) isn’t going anywhere anytime soon.
Today, most security analysts are using their SIEMs for detection and response, making it the core tool within the security operations center (SOC). SIEM aggregates and monitors critical security telemetry, enables companies to monitor and detect threats specific to their environment and policy violations, and addresses key regulatory and compliance use cases. It has served – and will continue to serve – very important, specific purposes in the security technology stack.
Where SIEMs have traditionally struggled is in keeping pace with the threat landscape. It expands and changes daily. Very, very few security teams have the resources to consume all the relevant threat intelligence, then create the rules and configure the detections necessary to find them.
Rapid7’s SIEM, InsightIDR, is the exception, designed with a detections-first approach.
InsightIDR leverages internal and external threat intelligence, encompassing your entire attack surface. Our detection library includes threat intelligence from Rapid7’s open-source community, advanced attack surface mapping, and proprietary machine learning. Detections are curated and constantly fine-tuned by our expert Threat Intelligence and Detections Engineering team.
InsightIDR is the only SIEM that can actually do extended detection and response (XDR). And we can’t help but think all the XDR buzz is the security industry’s way of letting you know that, yes, detection and response performance is still lacking.
A cloud SIEM can provide a strong XDR foundation — agile, tailored, adaptable, and elastic
A cloud SIEM approach gives you an elastic data lake that lets you collect and process telemetry across the environment. And the core benefits of SIEM are yours: log retention, fast and flexible search, reporting, and the ability to fine-tune and customize policy violations or other rules specifically for their environment or organization. Cloud SIEM with user and entity behavior analytics (UEBA) and correlation capabilities can already achieve XDR, tying disparate data sources together to normalize, correlate/attribute, and analyze.
Of course, some customers that purchased traditional SIEM for detection and response haven’t been able to get those outcomes. They don’t have a next-generation SIEM that supports big data and real-time event analysis. Perhaps machine learning and behavioral analytics aren’t there yet.
Or maybe the SIEM has security teams drowning in alerts, ignoring too many of them. Detection and response is really hard — and it really is a symphony — especially as the environment continues to sprawl and resources remain scarce.
XDR aims to solve the challenges of the SIEM tool for effective detection and response to targeted attacks and includes behavior analysis, threat intelligence, behavior profiling, recommendations, and automation. The foundation is everything.
When we introduced InsightIDR some time ago, some criticized it as trying to do “too much”
It turns out we were doing XDR.
Today, our highly manicured detections library is expertly vetted by our global Rapid7 Managed Detection and Response (MDR) SOC, where we also get emergent threat coverage. It’s single-platform, integrated with raw threat intel from Rapid7’s open-source communities (Metasploit, Heisenberg, Sonar, Velociraptor) and strengthened signal-to-noise following our acquisition of IntSights external threat intelligence.
Call it what you like
SIEM and XDR are described as “alternatives,” “complementary,” and also barreling toward one another destined to collide. We’ve read how one is dead and the other is the future. (Must it always be this way?)
No matter what you call it, focus on the outcomes, not the acronyms. It's easy to get lost in the buzz, but the best products for your business will be those that address your top priorities.
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- Demystifying XDR: How Curated Detections Filter Out the Noise
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