The cloud shifts your attack surface from the network edge to identity and configuration. QSECS assesses your AWS, Azure and GCP environments for IAM misconfigurations, exposed storage, over-permissive access and the privilege-escalation paths that turn a small mistake into a full account takeover.
We assess the identity, configuration and exposure issues that dominate real cloud breaches.
In the cloud, the perimeter is identity and configuration. A single over-permissive role or exposed bucket can unravel into full account compromise, and the shared-responsibility model leaves that configuration squarely on you.
QSECS assesses your AWS, Azure and GCP environments the way an attacker would — mapping identity and resource relationships, then exploiting chained misconfigurations to prove exactly how far an intruder could reach across your estate.
IAM and role misconfigurations — over-permissive policies, trust relationships and privilege escalation
Publicly exposed storage buckets, snapshots, databases and management interfaces
Over-permissive security groups, network ACLs and exposed services
Secrets sprawl across instances, pipelines, functions and metadata services
Container, serverless and workload misconfigurations across your cloud estate
Your Cloud Cryptography Has a Countdown Now
Cloud infrastructure runs on TLS, KMS keys, IAM tokens and service-to-service cryptography — exactly what quantum computing breaks. Executive Order 14412, "Securing the Nation Against Advanced Cryptographic Attacks," sets legally binding federal deadlines to migrate to post-quantum cryptography: key establishment by December 31, 2030 and digital signatures by December 31, 2031. With cloud estates changing by the hour, you cannot inventory and re-test that cryptography once a year and hope it holds. QRedSentinel watches that cryptography continuously, flagging drift the moment a deployment weakens it — long before an auditor or an attacker would.
We combine configuration review with hands-on exploitation to prove how far an attacker could actually get.
We map your cloud identity and resource graph to find real privilege-escalation and lateral-movement paths
We exploit chained misconfigurations to demonstrate genuine impact, not hypothetical risk
We align findings to the provider's well-architected and CIS benchmarks for clear remediation
We provide Generative AI-supported, infrastructure-as-code-ready fixes for your platform
We retest to confirm closed paths stay closed as your environment evolves