📰 Dev.to · Bala Paranj

Seven structural limitations of configuration verification that no engineering effort can fix and what to use instead for each one

The CSA surveyed 500 experts on cloud security's biggest problems. Here's how Stave addresses nine of them and why it honestly can't address the other two.

I used AI to build a cloud security reasoning engine. The AI generated code faster than I could understand it. Three mechanisms reduced the codebase by 90% whil

✓ Human-authored analysis; AI used for formatting and proofreading. In 2018 Spencer Gietzen at...

Scott Piper's twenty-year history of cloud security maps four eras — Foundational, CSPM, CNAPP, AI. Each era introduced new tools. Every tool produces signals.

There's a discipline that forces you to state what each tool does — not what it claims, but the direct action it performs on its direct object. Applied to six c

Delivery teams have five metrics that predict outcomes. Security teams have finding counts and compliance percentages. The same five metrics, applied to posture

The industry is building sophisticated pipelines to manage what goes into the LLM. Progressive context disclosure, context graphs, dynamic retrieval, stateful c

✓ Human-authored analysis; AI used for formatting and proofreading. On July 9, 2026, AWS...

Why scanning individual resources can never prove a system is secure. The 50-year-old formal result that explains the structural limitation of every cloud secur

Cloud security scanners find attack paths. Almost none of them answer the harder question: what is the smallest set of changes that eliminates all of them? Ford

Every cloud security scanner evaluates snapshots of a distributed system. Almost none of them reason about whether the snapshot is temporally consistent. Lampor

Most cloud security tools infer intent from configuration. This is guessing. There's a different model: declare intent, then deterministically check config agai

Most cloud security tools check settings one at a time. The breaches come from how settings combine. The maintainers of the best open-source scanner have been s

Organizations are drowning in 'Critical' CVEs in container images, most of which are never exploitable. The scanner found a vulnerable library. The application

We spend millions scanning storage to 'discover' where sensitive data ended up. The question nobody asks: why didn't the system know what kind of data it was ho

Zero Trust says 'only allow required network flows.' Nobody declares which flows are required. So the industry compares what's allowed against what's observed a

Every framework mandates least privilege. Every organization fails at it. Because the principle assumes an artifact that doesn't exist: a machine-readable decla

Meta's config change safety architecture — canary deployments, progressive rollouts, health checks that catch regressions across billions of users is the most b

Meta's Capacity Efficiency architecture advances past the LangChain/OpenAI harness baseline in three specific ways: tools/skills separation, offense/defense uni

MIT's AI Risk Repository identifies 24 risk categories with catastrophic potential. The engineering teams building AI systems aren't reading it, and the study d

We keep reaching for probabilistic tools on problems that have a definite answer, and deterministic tools on problems that don't. Snowden's framework names the

Anthropic's security team published seven recommendations for the AI era. Every one says 'use AI to react faster.' Not one says 'declare what must be true and v

Jen Easterly correctly identified that cybersecurity is an aftermarket for software quality failures. Then she celebrated an AI that makes the aftermarket faste