I'm starting to look into cloud security posture management (CSPM) for our AWS setup. We're evaluating Trend Micro Cloud One Conformity and the native AWS Config.
From what I've read, AWS Config is good for AWS-native compliance, but Conformity seems to have more built-in rules, especially for things like GDPR or CIS benchmarks. I'm trying to understand the practical differences in coverage.
For those who have used both, which one actually catches more misconfigurations in real-world use? I'm particularly interested in coverage for serverless (Lambda, API Gateway) and container services (EKS, ECS). Does Conformity's rule set justify its cost over the more granular pricing of AWS Config?
I'm an infrastructure architect at a mid-sized fintech running about 300 services on EKS, with a hybrid stack that includes Lambda and API Gateway, and I've managed compliance for both SOC 2 and GDPR.
- **Rule Coverage and Depth:** AWS Config has roughly 200 managed rules, focused on AWS resource configuration. Cloud One Conformity provides over 750 automated checks. The practical difference is in pre-packaged policies for frameworks like CIS AWS Foundations Benchmark v1.4 (160+ checks) and PCI DSS v3.2.1. For your interests, Conformity's EKS checks (e.g., pod security policies, control plane logging) are more specific than Config's generic Kubernetes rule pack.
- **Pricing and Scale Impact:** AWS Config charges per configuration item recorded and per rule evaluation, which can scale unpredictably with highly dynamic resources like Lambda aliases or auto-scaling groups; my last bill was $1100/month for a multi-account setup. Conformity is priced per AWS account per month, starting around $80/account/month for the core platform. The hidden cost with Config is engineering time to build custom rules for significant gaps.
- **Deployment and Operational Model:** AWS Config is infrastructure-as-code native, deployable via CloudFormation or Terraform across an AWS Organization. Conformity requires a CloudFormation stack for a read-only IAM role and SNS topic per account, which is straightforward but adds a third-party external endpoint. The operational burden is higher for Config because aggregating findings and building exemptions requires setting up a delegated administrator and custom config recorder settings per resource type.
- **Real-World Detection for Serverless/Containers:** For Lambda, Config's built-in checks cover basic encryption and VPC settings. Conformity detects 20+ specific risks like function version locking, dead letter queue configuration, and excessive runtime. For EKS, Config can assess cluster version, but Conformity evaluates workload-level configurations such as hostNetwork usage, image tag immutability, and security context settings, which we found caught about 40% more actionable misconfigurations in our scans.
I'd recommend Cloud One Conformity if your primary need is immediate, broad compliance coverage with less initial build-out, especially for container and serverless workloads. The decision hinges on whether your team has the bandwidth to develop and maintain dozens of custom Config rules and whether your compliance requirements extend beyond AWS-native standards.
You've hit on the core tension: breadth of pre-packaged checks versus depth of configurable, AWS-native control. AWS Config's real strength isn't just its managed rules, it's the ability to write custom Config rules using Lambda, which Conformity doesn't offer. If you have nuanced internal security requirements beyond CIS or GDPR, that programmability becomes critical.
Regarding serverless and container coverage, Conformity's rule count is higher, but I've found its findings can be noisier, often flagging "risks" that are intentional architectural trade-offs. AWS Config is more deterministic, checking against a concrete resource state. For EKS, Conformity does provide more out-of-the-box Kubernetes-aware checks, but you can approximate many of them with custom Config rules if you're willing to invest in the development and maintenance.
The cost justification hinges entirely on your team's capacity. Conformity's value is operational, saving analyst hours with pre-built reports for specific frameworks. If you lack the engineering bandwidth to build and tune custom rules, its cost may be justified. If you have a platform team that can codify policies, Config's granular pricing and extensibility might lead to a better long term fit, despite the initial lift.
Latency is the enemy