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

Test In Prod Or Live A Lie

tenzai.com | blog | #ai-security | #cloud | #appsec | #continuous-testing | #claude-code | #code-review | #ai-agents | #application-security | #production-testing | #tenzai | #runtime-security | #active-testing | #ai-coding-agents | #active-validation
📄 Raw .md⬇️ Download .md🔗 Original ↗

Summary

Tenzai's CTO argues code review alone can't secure modern apps, as vulnerabilities emerge in runtime interactions, identity boundaries, and cloud configs; active production testing is essential.
Published
Collected

Related coverage

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 · wiz.io
Key Takeaways: AI Threat Readiness Survey Report 2026
Read the AI Threat Readiness Report 2026. Benchmark findings across 100 IT leaders on autonomous agent sprawl, identity risks, and modern cloud governance.
blog · crowdstrike.com
CrowdStrike Expands Falcon Adversary OverWatch Threat Hunting Across AI and Google Cloud
Falcon Adversary OverWatch now includes 24/7 managed hunting for AI applications and autonomous agent activity, and deeper, telemetry-driven hunting for Google Cloud.
blog · wiz.io
ASPM in the AI Era Part 2: Prioritize Exploitable Risks with Code-to-Cloud Context
Transform raw scanner output into actionable risk. Discover how Wiz ASPM enriches third-party findings, deduplicates alerts, and maps true attack paths.
blog · borghq.io
Security Review for AI-Generated Code: What Changes Before Merge
More of every pull request is machine-drafted and the bug classes have not changed. What security review must catch in the diff before merge, and what it cannot.
blog · borghq.io
How to Prioritise Security Findings That Have No CVE
CVSS, EPSS and KEV are all built around published CVEs, so they cannot score findings in your own application code. This practical guide shows how to rank exploitable issues like tenant boundary flaws in a continuous testing queue.
Back