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1A Comprehensive Approach to Cloud Threat Detection and ResponseWhitepaperA
Comprehensive Approach to Cloud Threat Detection and ResponseWritten by Jake
WilliamsJune 2022©2022 SANS™ Institute


2A Comprehensive Approach to Cloud Threat Detection and ResponseIntroductionWhen
it comes to container security and visibility in the cloud, there are two
primary models: agent based and agentless. Many organizations spend an
inordinate amount of time trying to decide which model is superior. In this
paper, we make a strong case that organizations need both agent-based and
agentless monitoring solutions to maximize visibility and control. Once
practitioners recognize that both are necessary for optimal security outcomes,
this logical question emerges: How should these technologies work together? We
seek to answer those questions in this paper, using a case study showing the
benefits of synergizing data from agent-based and agentless monitoring in
finding, focusing, and fixing threats.Use Cases for Cloud Detection and
ResponseBefore discussing specifics, establishing the use cases for any cloud
workload monitoring solution is vital. We can categorize these use cases as
finding, focusing, and fixing. Let’s examine each of these in
detail.FindingVisibility is critical across your cloud and container platforms,
but traditional security tools (those that aren’t built to be cloud-native)
don’t provide adequate context to perform an investigation and security
response. Sure, agentless is the new hotness, but what are you giving up? Do you
need agents or agentless? The reality is that in a cloud environment, you need
both to adequately secure workloads. (We discuss the trade-offs between
agent-based and agentless solutions in the section “Agent or
Agentless.”)FocusingNow that you’ve found the threat, you need to prioritize and
rapidly focus on what matters. How do you quickly identify what matters most? It
will come as no surprise to anyone with SecOps experience that alert fatigue is
a major contributor to analyst burnout. And this isn’t limited to just
false-positive alerts. When analysts receive alerts, they’re expected to take
action, but when those alerts lack necessary investigative context, analysts
find themselves in a frustrating situation with potentially career-altering
implications. Even ignoring analyst happiness and retention (things that
organizations absolutely should not ignore), providing the tools to quickly
focus an analyst matters for the health of the organization.In many incident
response investigations, we learn that analysts had some piece of relevant data
that would have revealed the intrusion sooner—but that wasn’t clear at the time.
The most common root cause? The alert, as displayed to the analyst, lacked the
necessary context to properly understand the intrusion. However, this leads to
an obvious question: With so many new platform-as-a-service (PaaS) offerings,
even on a familiar cloud service provider’s platform, how do analysts
contextualize any alert they’re staring at? What service even generated it?
Without the appropriate context, analysts are left to wonder if the issue is
isolated to a particular workload or if it’s even really exploitable in the
given configuration.Do you need agents or agentless? In a cloud environment, you
need both to adequately secure workloads.









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