Announcing the Next Generation of Pulumi Policies: AI-Accelerated Governance for the Cloud

Craig Symonds Craig Symonds Tyler D Tyler D Arun Loganathan Arun Loganathan
Announcing the Next Generation of Pulumi Policies: AI-Accelerated Governance for the Cloud

The era of AI-accelerated development has created a paradox: the faster developers move, the bigger the governance challenge becomes. For years, security and platform teams have worked to “shift left,” but the tools available have been incomplete. Most focus on detection, which is necessary but not sufficient. They identify thousands of policy violations across an organization’s infrastructure but leave teams with an overwhelming backlog and no scalable way to remediate it. This creates a persistent gap between finding a problem and fixing it. The result is an impossible choice between development velocity and organizational control, forcing leadership to slow down innovation to manage risk.

Today, we end that compromise.

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New Audit Policy Scans for Pulumi Stacks

Levi Blackstone Levi Blackstone Arun Loganathan Arun Loganathan
New Audit Policy Scans for Pulumi Stacks

Audit Policy Scans for Pulumi Stacks is part of the next generation of Pulumi Policies. This capability uses policies to run compliance checks against the last successful deployment state of your stacks, providing continuous compliance monitoring without impacting your existing CI/CD workflows.

Until now, Pulumi’s preventative policies have served as a critical “shift-left” gate, blocking non-compliant changes during pulumi up. While essential, this created challenges for organizations wanting to roll out new governance across thousands of existing stacks. This new evaluation mode solves that problem, giving you a complete and continuous view of your IaC compliance posture without the friction.

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Policy Findings Hub: Move From Alert Fatigue to Action

Alejandro Cotroneo Alejandro Cotroneo Arun Loganathan Arun Loganathan
Policy Findings Hub: Move From Alert Fatigue to Action

For platform and security teams, enabling robust cloud scanning often creates a new problem: an unmanageable firehose of policy alerts. Identifying a violation is only the first step. Without a system to manage the lifecycle of these findings, teams are quickly overwhelmed, leading to prioritization paralysis and a perpetually growing backlog.

The Policy Findings hub in Pulumi Cloud is the solution to this alert fatigue. It’s a purpose-built, collaborative workspace that turns a noisy list of violations into organized, actionable tasks. The hub brings clarity and structure to the compliance process, guiding teams from initial discovery to a verified fix.

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New Compliance Packs for CIS, NIST, and PCI DSS

Luke Ward Luke Ward Dan Biwer Dan Biwer
New Compliance Packs for CIS, NIST, and PCI DSS

Achieving compliance with industry standards such as CIS, NIST, or PCI DSS is a foundational step for every organization. Yet for many teams, it’s often a manual, months-long process that involves interpreting controls, authoring custom policies, and validating configurations across multiple clouds. These challenges often slow progress toward a known and secure cloud state.

We’re changing that. To simplify this journey, Pulumi launched a new suite of pre-built compliance policy packs for CIS Controls v8.1, NIST SP 800-53 Rev. 5, and PCI DSS v4.0.

These packs are your accelerator for the “Get Clean” journey, allowing you to enforce critical security and compliance baselines across your cloud infrastructure in minutes, not months.

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Day 2 Operations: Drift Detection and Remediation

Mitch Gerdisch Mitch Gerdisch Josh Kodroff Josh Kodroff
Day 2 Operations: Drift Detection and Remediation

Welcome to the fourth post in our IDP Best Practices series. Today we’re diving into the world of drift detection and remediation, those critical day 2 operations that keep your infrastructure aligned with its intended configuration long after the initial deployment.

You’ve built a beautiful platform with robust guardrails, comprehensive templates, and well-defined golden paths. Your developers are productive, deployments are smooth, and everything seems perfect. Then reality hits. An on-call engineer makes an emergency change through the AWS console during a 3 AM incident. A team member tweaks a security group rule to debug a connection issue and forgets to revert it. Auto-scaling adjusts capacity based on load patterns. Before you know it, your actual infrastructure has quietly diverged from what your code describes.

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Grounded AI: Why Neo Knows Your Infrastructure

Engin Diri Engin Diri
Grounded AI: Why Neo Knows Your Infrastructure

Ask a generic LLM to “fix my broken deployment,” and you’ll get generic advice. Ask Pulumi Neo the same question, and you’ll get a fix plan grounded in your actual infrastructure state.

The difference isn’t about better prompts or newer models. It’s about what the AI actually knows. Generic LLMs have been trained on the internet. Neo has been trained on your infrastructure.

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