Triage of 1,800 CSPM Findings in a Regulated Cloud
A regional bank has 500 AWS accounts managed through AWS Organizations. Its security team uses Falcon Cloud Security and has just enabled CSPM. The first scan produces 1,800 findings: 300 S3 buckets with public read access, 120 security groups open to 0.0.0.0/0 on port 22, 400 EBS volumes without encryption, 600 IAM users without MFA, and 380 unused access keys older than 90 days. The team has two security engineers and an external audit in 30 days. The audit requires evidence that critical findings are remediated within 14 days and that a risk-based prioritization process exists. The engineers are overwhelmed and want to suppress most findings to reduce noise. The CISO asks for a defensible triage and remediation plan that uses Falcon Cloud Security without adding headcount.
1. Propose a risk-based prioritization scheme for these 1,800 findings. Which categories should be addressed first and why?
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Start with internet-facing exposure combined with sensitive data. The 300 public S3 buckets and 120 SSH-open security groups are the highest priority because they are directly reachable from the internet and can lead to immediate compromise. Within those, rank buckets that contain regulated or customer data first. Use Falcon CSPM context such as data classification tags and attack-path visibility to separate a public bucket with marketing assets from one with account statements.
Next, address identity risk: 380 unused access keys older than 90 days and 600 IAM users without MFA. Unused keys are credential sprawl and should be disabled or rotated; lack of MFA increases the impact of password compromise. These are high priority but usually less immediately exploitable than an open SSH port.
Then address data-at-rest encryption for the 400 EBS volumes. This is important for compliance and breach impact, but it is not a direct internet exposure. It can often be remediated through account-level default encryption and automation rather than manual work.
Do not suppress categories wholesale. Instead, create documented exceptions only after review, with an owner and expiration date. The prioritization scheme itself should be written down, approved, and stored as audit evidence.
2. How can the team use Falcon Cloud Security to reduce noise without suppressing legitimate risk, and what automation would you recommend?
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Use Falcon's risk scoring, attack-path analysis, and resource context to group findings by account, resource owner, and exploitability. A finding that is isolated and non-internet-facing can be downgraded without being hidden. Create suppression rules only for reviewed, accepted risks, and require a justification, owner, and expiry date. This preserves the finding history for audit while reducing the daily queue.
Automate the high-volume, low-ambiguity fixes: enable default EBS encryption at the organization level, enforce MFA through IAM policies or service control policies, and disable unused access keys after a notification period. Use infrastructure-as-code checks in CI/CD to prevent new public S3 buckets and open security groups before deployment. Route findings to the responsible account owners through ticketing integration so the two security engineers act as reviewers rather than manual remediators.
Finally, create a weekly management view showing new versus remediated findings by category. This demonstrates that noise reduction is not risk hiding and gives the audit a clear control narrative.
3. What evidence should the team collect for the audit, and how should they document the prioritization process?
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Collect a timestamped export of the original 1,800 findings, the risk-based prioritization policy, and the mapping of each finding category to a severity and SLA. Document the 14-day remediation clock for critical items and show remediation tickets with close dates. Keep a log of any suppressed or accepted findings, including who approved the exception, why, and when it expires.
Provide dashboards or reports from Falcon Cloud Security that show current open findings by category and account, plus evidence that automation is enforcing default encryption and MFA. Include change records for the automation and sample CI/CD policy checks. For the audit interview, be able to explain why public S3 buckets and open SSH were prioritized ahead of encryption, and show that the prioritization was consistently applied. The key is a repeatable, documented process rather than a one-time cleanup.