imPAC Labs and Cyera Partner to Deliver Data-Aware Cloud Security — Cloud Guardrails Informed by Data Sensitivity
Cyber Security / Foundational Security | 3 min read
imPAC Labs, the cloud control plane for Security, DevOps, and Compliance teams, and Cyera, the AI Security Platform for complete data clarity, have announced a new integration designed to give security teams what has been missing from cloud security: cloud guardrails that are informed by the actual sensitivity of the data they protect. By combining imPAC's deep cloud visibility and custom security controls with Cyera's deep data discovery, classification, and actionable intelligence, the partnership enables a data-first approach to cloud security — where the strictness of controls automatically scales with the sensitivity of the data in the asset being protected, rather than treating every misconfiguration as equally urgent.
"Most cloud security platforms can tell you something is wrong. Very few can tell you what matters because of your data — and then enforce it. Cyera and imPAC win because the model starts with data sensitivity, not generic cloud risk. A CSPM might only tell you a storage bucket is risky. Cyera tells you why it matters and imPAC makes sure it stays protected going forward."
— Deven Reddy, Chief Executive Officer, imPAC Labs
The Problem: Without Data Context, Every Alert Looks Equally Urgent
Cloud security teams are expected to protect everything — but not every asset carries the same risk. A misconfigured storage account holding test logs is a fundamentally different problem from one holding millions of customer records. Without data context, however, both produce equally urgent-looking alerts. Most organisations already have security tooling in place, yet breaches, audit gaps, and blind spots persist because cloud environments evolve faster than traditional alerting can keep up. The core issue is that infrastructure controls must be prioritised and scoped based on actual risk — and actual risk starts with the data. The imPAC-Cyera integration addresses this directly: imPAC's custom infrastructure and security policies can now be scoped to Cyera's PII, PHI, and other sensitivity classifications — so guardrails automatically match the data they're protecting. Higher sensitivity means stricter controls, automatically.
Four Joint Capabilities for Joint Customers
The integration delivers four connected capabilities. Tailor cloud policies to data sensitivity — when Cyera tags a cloud asset as containing PII, imPAC enforces and continuously validates a multi-step resiliency standard across the multi-cloud environment; higher sensitivity triggers stricter controls automatically. Unify data intelligence and cloud context — Cyera continuously discovers and classifies sensitive data across SaaS, cloud, and on-premises, building deep intelligence about what data exists, why it matters, who can access it, and how it is being used; imPAC connects that insight to the surrounding cloud infrastructure (identity, encryption, network access, dependencies) giving teams a complete picture from data to posture. Reduce noise and focus on what matters — Cyera's data context sharpens prioritisation by filtering out low-impact findings and surfacing the misconfigurations and access paths that actually put sensitive data at risk. Maintain continuous compliance with proof — Cyera defines what data is in scope for frameworks like GDPR, HIPAA, and PCI DSS; imPAC captures configuration state and change history over time, making compliance verifiable without manual evidence gathering.
Key Takeaways
- • imPAC Labs (cloud control plane for Security, DevOps, and Compliance teams) and Cyera (AI Security Platform for continuous sensitive data discovery and classification across SaaS, cloud, and on-prem) have announced a new integration to deliver data-aware cloud security — cloud guardrails that automatically scale in strictness based on the sensitivity of the data in the asset being protected.
- • The core problem solved: without data context, every cloud security alert looks equally urgent — but a misconfigured account holding test logs is fundamentally different from one holding millions of customer records. Traditional CSPM tools tell you something is risky without telling you why it matters. The imPAC-Cyera integration starts with data sensitivity to make risk prioritisation accurate, not just comprehensive.
- • Four joint capabilities: tailor cloud policies to data sensitivity (Cyera PII/PHI tags trigger automatic multi-step resiliency enforcement by imPAC; higher sensitivity = stricter controls automatically); unify data intelligence and cloud context (data intelligence + cloud infrastructure context — identity, encryption, network access, dependencies — for complete data-to-posture visibility); reduce noise (Cyera data context filters low-impact findings, surfaces high-risk misconfigurations and access paths); continuous compliance with proof (Cyera scopes data in-framework for GDPR/HIPAA/PCI DSS; imPAC captures configuration history for verifiable compliance without manual evidence gathering).
- • imPAC Labs: cloud control plane providing continuous control over all cloud assets, configurations, and hidden relationships; tracks all configuration changes over time with evidence; builds automated no-code guardrails; ingests contextual DSPM signals from partners like Cyera for proactive cloud control. Cyera: AI Security Platform correlating sensitivity, access, usage, ownership, and exposure into rich business context — showing security teams what data matters most, where risk is emerging, and what to do next.
- • The strategic model: moving from infrastructure-centric cloud security (generic risk signals) to data-first cloud security (risk signals informed by actual data sensitivity). As cloud environments evolve faster than traditional alerting can track, and organisations already have extensive tooling yet still experience breaches and audit gaps, the integration of DSPM data intelligence with CSPM infrastructure controls represents the next foundational layer of cloud security maturity.