Security and DevOps teams are under pressure to identify vulnerabilities faster, respond to compliance requirements continuously, and reduce the manual effort required to remediate issues in cloud environments.
Our AI-driven DevSecOps platform integrates directly into modern software delivery pipelines to automate cloud security scanning, generate intelligent remediation guidance, and provide real-time risk visibility for engineering and security teams.
The Problem
Existing security tools often generate findings without providing actionable remediation workflows. This creates delays, increases operational overhead, and makes it harder for organizations to maintain a strong security posture in fast-moving CI/CD environments.
Teams end up juggling disconnected scanners, reports, dashboards, and compliance evidence with too much manual effort.
The Solution
Our platform brings AI and DevSecOps together to automate the security lifecycle. It continuously scans infrastructure and application artifacts, prioritizes findings, generates remediation recommendations, and produces compliance-ready outputs for teams operating in regulated and enterprise environments.
The result is faster remediation, better visibility, and more consistent security outcomes.
Core Platform Capabilities
Built for organizations that need continuous security automation, intelligent remediation, and compliance-focused visibility.
IaC Security Scanning
Scan Terraform and other infrastructure artifacts to identify misconfigurations, policy violations, and cloud security gaps before deployment.
AI-Driven Remediation
Generate intelligent remediation suggestions and contextual risk explanations to help teams fix issues faster and more consistently.
CI/CD Integration
Integrate directly into delivery pipelines to support shift-left security, automated checks, and streamlined reporting.
SBOM & Dependency Analysis
Improve software supply chain visibility with dependency analysis, artifact review, and report generation for modern applications.
Risk Intelligence Dashboards
Provide centralized visibility into findings, remediation status, trends, and security posture across environments.
Compliance Reporting
Support compliance-focused workflows with structured outputs aligned to enterprise and regulated environment requirements.
Who This Platform Supports
Enterprise DevSecOps Teams
Automate scanning, remediation, and risk reporting across cloud-native delivery pipelines.
Federal & Regulated Environments
Support security and compliance workflows where evidence, reporting, and audit readiness matter.
Cloud Security Operations
Improve visibility, prioritize findings, and accelerate remediation in distributed cloud environments.
Engineering Leadership
Track security posture, remediation progress, and operational trends from a centralized platform.
AWS-Native Architecture
Our platform is designed on a cloud-native, serverless-first architecture on AWS to support scalable, secure, and cost-efficient DevSecOps automation.
Users / Admin Dashboard
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v
Amazon CloudFront
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v
Amazon S3 (Frontend Hosting)
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v
Amazon API Gateway
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+----+----+
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v v
AWS Lambda Amazon Cognito (optional)
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+----------------------------+
| |
v v
Amazon DynamoDB AWS Step Functions
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v
Amazon SQS
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+-----------+-----------+
| |
v v
AWS Lambda AWS Fargate
(light tasks) (heavy scans / workers)
| |
+-----------+-----------+
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v
Amazon S3
(artifacts, reports, logs)
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v
Amazon Bedrock
Monitoring: Amazon CloudWatch
Security: IAM + AWS KMS
The frontend is delivered through Amazon S3 and Amazon CloudFront. Public APIs are exposed through Amazon API Gateway and processed using AWS Lambda to support event-driven operations. Platform metadata, scan states, and alert history are stored in Amazon DynamoDB.
Security workflows and automation pipelines are orchestrated using AWS Step Functions, while asynchronous processing is handled through Amazon SQS. For compute-intensive workloads such as scanning and report generation, containerized services run on AWS Fargate.
The platform uses Amazon S3 to store scan artifacts, logs, SBOMs, and compliance reports, and Amazon Bedrock to power AI-driven remediation, risk analysis, and compliance reporting. Monitoring is handled through Amazon CloudWatch, with security enforced through IAM and AWS KMS.
Why This Matters
By combining serverless computing, containerized workloads, intelligent automation, and compliance-focused workflows, this platform enables organizations to reduce manual security effort, accelerate remediation, and improve cloud risk visibility without adding unnecessary operational complexity.
It is designed to support modern enterprise environments and regulated workloads where security, scalability, and audit readiness are critical.
Interested in early access?
Connect with 247 CyberSolutions to learn more about our AI-powered DevSecOps automation platform and how it can support your cloud security and compliance goals.
247 CyberSolutions LLC
AI-Powered DevSecOps Automation Platform
Automate security scanning, remediation, and compliance reporting across cloud-native environments with AI-driven DevSecOps workflows.
Request Early Access
Contact Us
Modern security workflows need more than alerts
Security and DevOps teams are under pressure to identify vulnerabilities faster, respond to compliance requirements continuously, and reduce the manual effort required to remediate issues in cloud environments.
Our AI-driven DevSecOps platform integrates directly into modern software delivery pipelines to automate cloud security scanning, generate intelligent remediation guidance, and provide real-time risk visibility for engineering and security teams.
The Problem
Existing security tools often generate findings without providing actionable remediation workflows. This creates delays, increases operational overhead, and makes it harder for organizations to maintain a strong security posture in fast-moving CI/CD environments.
Teams end up juggling disconnected scanners, reports, dashboards, and compliance evidence with too much manual effort.
The Solution
Our platform brings AI and DevSecOps together to automate the security lifecycle. It continuously scans infrastructure and application artifacts, prioritizes findings, generates remediation recommendations, and produces compliance-ready outputs for teams operating in regulated and enterprise environments.
The result is faster remediation, better visibility, and more consistent security outcomes.
Core Platform Capabilities
Built for organizations that need continuous security automation, intelligent remediation, and compliance-focused visibility.
IaC Security Scanning
Scan Terraform and other infrastructure artifacts to identify misconfigurations, policy violations, and cloud security gaps before deployment.
AI-Driven Remediation
Generate intelligent remediation suggestions and contextual risk explanations to help teams fix issues faster and more consistently.
CI/CD Integration
Integrate directly into delivery pipelines to support shift-left security, automated checks, and streamlined reporting.
SBOM & Dependency Analysis
Improve software supply chain visibility with dependency analysis, artifact review, and report generation for modern applications.
Risk Intelligence Dashboards
Provide centralized visibility into findings, remediation status, trends, and security posture across environments.
Compliance Reporting
Support compliance-focused workflows with structured outputs aligned to enterprise and regulated environment requirements.
Who This Platform Supports
Automate scanning, remediation, and risk reporting across cloud-native delivery pipelines.
Support security and compliance workflows where evidence, reporting, and audit readiness matter.
Improve visibility, prioritize findings, and accelerate remediation in distributed cloud environments.
Track security posture, remediation progress, and operational trends from a centralized platform.
AWS-Native Architecture
Our platform is designed on a cloud-native, serverless-first architecture on AWS to support scalable, secure, and cost-efficient DevSecOps automation.
Users / Admin Dashboard | v Amazon CloudFront | v Amazon S3 (Frontend Hosting) | v Amazon API Gateway | +----+----+ | | v v AWS Lambda Amazon Cognito (optional) | +----------------------------+ | | v v Amazon DynamoDB AWS Step Functions | v Amazon SQS | +-----------+-----------+ | | v v AWS Lambda AWS Fargate (light tasks) (heavy scans / workers) | | +-----------+-----------+ | v Amazon S3 (artifacts, reports, logs) | v Amazon Bedrock Monitoring: Amazon CloudWatch Security: IAM + AWS KMSThe frontend is delivered through Amazon S3 and Amazon CloudFront. Public APIs are exposed through Amazon API Gateway and processed using AWS Lambda to support event-driven operations. Platform metadata, scan states, and alert history are stored in Amazon DynamoDB.
Security workflows and automation pipelines are orchestrated using AWS Step Functions, while asynchronous processing is handled through Amazon SQS. For compute-intensive workloads such as scanning and report generation, containerized services run on AWS Fargate.
The platform uses Amazon S3 to store scan artifacts, logs, SBOMs, and compliance reports, and Amazon Bedrock to power AI-driven remediation, risk analysis, and compliance reporting. Monitoring is handled through Amazon CloudWatch, with security enforced through IAM and AWS KMS.
Why This Matters
By combining serverless computing, containerized workloads, intelligent automation, and compliance-focused workflows, this platform enables organizations to reduce manual security effort, accelerate remediation, and improve cloud risk visibility without adding unnecessary operational complexity.
It is designed to support modern enterprise environments and regulated workloads where security, scalability, and audit readiness are critical.
Interested in early access?
Connect with 247 CyberSolutions to learn more about our AI-powered DevSecOps automation platform and how it can support your cloud security and compliance goals.
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