Cloud SecurityApplication Security
Sweet Runtime CNAPP
Runtime CNAPP unifying cloud, workload, and Layer 7 detection and response via an eBPF sensor.
Sweet Runtime CNAPP Overview
What it does
Sweet Runtime CNAPP is a cloud-native application protection platform that secures cloud infrastructure, workloads, and the application layer from one runtime view. It deploys an eBPF-based sensor that observes live process, network, and system-call activity, building a behavioral baseline for each environment so it can surface confirmed attacks rather than theoretical posture findings. The platform spans both traditional and AI-driven applications.
How it works
The sensor profiles applications and cloud identities at runtime, then detects anomalous behavior across cloud, workload, container, Kubernetes, and Layer 7 application and API activity. A patented detection engine driven by a large language model correlates related events into a single attack storyline, scores impact and severity, and cuts alert noise to a fraction of a percent. Identity threat detection and response flags account takeover and anomalous identity behavior, and guided response playbooks can terminate malicious processes while keeping production stable.
Credentials and traction
Sweet Security is trusted by Fortune 1000 organizations and enterprises including Fireblocks, Kaltura, and ShipStation. As of 2026 it is among the highest rated by peers for Willingness to Recommend in the Cloud-Native Application Protection Platforms market on Gartner Peer Insights, based on 36 verified reviews.
Key Capabilities
mapped to solution categoriesDetects attacks at the application and API layer at runtime using behavioral signals such as unexpected process behavior, suspicious API calls, unusual service-to-service communication, and exploit activity across cloud apps, containers, and Kubernetes.
Correlates SaaS activity with identity events (MFA changes, session token replay, impossible travel) to detect account takeover within cloud application environments.
Instruments workload behavior at the kernel level via eBPF without a traditional user-space agent. Provides syscall-level visibility into process execution, network connections, and file access in running containers and VMs.
Monitors running pod and container behavior against policy, detecting unexpected process execution, network connections, and privilege escalation at runtime rather than at image scan time.
Continuously audits cloud and Kubernetes configuration across AWS, Azure, and GCP against security benchmarks, flagging misconfigurations and identity-permission gaps that create exploitable exposures.
Analyzes IAM policies across AWS, Azure, and GCP to surface over-permissioned roles, unused permissions, and cross-account trust relationships that create lateral movement opportunities.
Delivers scan results inside developer IDEs and pipeline stages so developers receive findings before code merges, reducing the cost and cycle time of remediation.
Discovers and classifies sensitive data in IaaS and PaaS stores such as object storage, databases, and data warehouses, surfacing data exposure risk alongside infrastructure findings.
Exports compliance evidence pre-mapped to framework control requirements (SOC 2, ISO 27001, PCI DSS), in formats auditors can consume directly: not raw CSV exports requiring manual assembly.
Integrations
compatible toolsImplementation & support
Info last updated on July 11, 2026
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