CloudThinker + Lacework
CloudThinker doesn't replace Lacework — it integrates with it. Everything Lacework produces by baselining behavior and surfacing anomalous activity and misconfigurations across your cloud becomes the input CloudThinker's autonomous AI agents act on: investigating root cause, executing approval-gated remediation runbooks, and resolving issues without pulling your team into another context switch.
Think of CloudThinker as the autonomous action layer on top of your existing cloud security posture stack — unifying Lacework, your cloud providers, your code repositories, and your incident tools into a single AI-driven operations platform. They see. CloudThinker acts.
Platform Architecture
Your existing tools — Datadog, PagerDuty, New Relic, and the rest — remain exactly as they are. CloudThinker connects to all of them, unifies their signals, and adds the autonomous AI action layer that turns insights into resolution.
Operating Model Comparison
Partial = limited or requires additional configuration/tooling. CloudThinker integrates natively with Lacework — both platforms work together, not in competition.
The autonomous AI layer your cloud security posture stack is missing
Lacework is excellent at baselining behavior and surfacing anomalous activity and misconfigurations across your cloud — and it should keep doing exactly that. CloudThinker connects to Lacework and takes the next step: the Incident Response Agent consumes its findings, correlates signals across your full stack, investigates root cause, and executes approval-gated remediation runbooks — often resolving the issue before your on-call engineer opens Slack.
CloudThinker doesn't just read Lacework — it also connects to your GitHub PRs via AI Code Review, your Kubernetes clusters, AWS/GCP/Azure accounts, Jira tickets, Slack channels, and PagerDuty on-call schedules. The result is a single AI-driven operations layer that sees and acts across every part of your infrastructure — not one slice of it.
CloudThinker's Graduated Autonomy model lets you start with AI-drafted recommendations and gradually increase to fully autonomous remediation on a per-environment, per-skill basis. Every action is audited with full rationale — so you can safely lean on AI for more operational toil while your engineers focus on building.
CloudThinker connects to Lacework in minutes. Keep your security stack exactly as-is — and add an AI layer that acts on it automatically.