Security Scanning Solutions: Protecting Applications in the DevOps Era

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DevSecCops.ai The AI-Driven Security Platform
for Modern Pipelines
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Unified Security Scanning, Log Monitoring
Hybrid Cloud
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The Security Gap in Modern Pipelines
Challenges
- Siloed security scanning solutions
(SAST/DAST/IaC) - Log monitoring systems
drowning in false alerts - MLOps pipelines
lack embedded security - Hybrid cloud
(AWSOn-prem) complexity increases risks
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DevSecCops.ai Platform Overview One platform
for
1. Automated Security Scanning (Code ? Infra ?
Containers) 2. AI-Powered Log Monitoring
(Real-time anomaly detection) 3. End-to-End
Pipeline Security (DevOps MLOps pipelines) 4.
Hybrid Cloud (AWS/GCP/On-prem) Compliance
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AI-Driven Security Scanning Solutions
- Coverage
- SAST/DAST (OWASP Top 10) - IaC Scanning
(Terraform, CloudFormation) - Container
Kubernetes Security - AI Differentiator -
Context-aware vulnerability prioritization
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Unified Log Monitoring System
Features
- Correlate logs across DevOps/MLOps pipelines
- AI-powered anomaly detection (vs. rule-based
SIEM) - Auto-triage alerts (Reduces SOC
fatigue) - Output Actionable security insights

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Securing DevOps MLOps Pipelines
- DevOps Pipeline Integration - Shift-left
security in CI/CD (GitHub Actions, Jenkins) -
MLOps Pipeline Protection - Model drift
detection Data lineage security
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Hybrid Cloud (AWS Multi-Cloud) Security
AWS-Specific Scans
- S3 Buckets, IAM Roles, Lambda SecOps -
Cross-Cloud Compliance - Unified policy
enforcement (HIPAA/GDPR)
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The AI DevOps Platform Advantage
Why DevSecCops.ai?
- Single pane of glass for scanning, logs,
pipelines - ML-backed automation (60 fewer
false positives) - Agentless architecture
(Works with AWS, Azure, K8s)
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Customer Success
Case Study
- "40 faster deployments with 80 fewer
security tickets"
- Use Case - Securing MLOps
pipelines in a hybrid cloud AWS setup
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Thank you
https//devseccops.ai/