PPhying中文
Curated security research, vulnerabilities, advisories and tools for practitioners.

Cloud Security Tools Explained: Key Capabilities & Evaluation Tips

aikido.dev | blog | #cloud | #cloud-security | #tooling | #vulnerability-detection | #misconfiguration | #iam | #asset-inventory | #vendor-evaluation | #cspm | #misconfigurations | #multi-cloud
📄 Raw .md⬇️ Download .md🔗 Original ↗

Summary

Cloud security tools map assets, detect misconfigurations, and expose risky IAM permissions across dynamic multi-cloud environments. This guide outlines must-have capabilities and evaluation tips.
Published
Collected

Related coverage

blog · vercel.com
Mitigating Denial of Wallet risks with Vercel
Protect against Denial of Wallet (DoW) attacks with Vercel. DoW exploits cloud scalability to inflate costs. Vercel provides solutions like budget alerts, spend limits, and anomaly detection to safeguard workloads and maintain financial stability.
blog · wiz.io
A security community success story of mitigating a misconfiguration
The story of fixing a common misconfiguration: GitHub Actions OIDC trust policies missing their 'sub' condition let anyone assume AWS roles, until coordinated research pushed defaults to change.
blog · vercel.com
Introducing Vercel Firewall and Vercel Secure Compute
Vercel Secure Compute and Vercel Firewall for enhanced protection of your applications on the frontend cloud
blog · aikido.dev
Adding Aikido AI pentesting to your existing security stack
How to add Aikido's AI pentesting on top of the SAST, SCA and cloud tools you already run, from your first pentest through whitebox testing, continuous testing and remediation.
blog · aikido.dev
Finding vulnerabilities at every stage: what to run, and when
Aikido maps four complementary ways to find vulnerabilities — traditional SAST, deep PR review, AI code analysis and AI pentesting — explaining what each catches and where it fits in the lifecycle.
blog · aikido.dev
Benchmarking 13 AI models on rediscovering known CVEs
Aikido benchmarked 13 AI models on 26 known vulnerabilities: GPT-5.6 led at 88.5%, cheaper variants trailed by a finding or two, pooled pass@3 runs beat one flagship pass, and GLM-5.2 hit 16/26.
Back