Freedom report

One barScore 5.5

  • Free tierNo free tier on record
  • Open codeNo open-source code on record
  • Runs widely2 of 6 device platforms
  • DocumentedPlans, terms and facts published

Sweet Security is a cloud security platform for applications, workloads, infrastructure, and AI agents. Its Runtime CNAPP brings together cloud, application, and workload detection and protection, drawing on eBPF sensors and cloud logs. Sweet describes AI security that spans the model layer through agent execution, with visibility, runtime intelligence, and policy controls. An AI Gateway analyzes agent traffic; policies can authorize individual operations or block risky activity while a session continues. Cloud posture tools identify misconfigurations, prioritize risk, offer remediation guidance, and set deployment guardrails. Incident storylines arrange activity into sequences to help teams assess false positives and decide who should act. Playbooks guide manual or automatic termination of malicious processes, and listed responses include killing compromised containers and preventing pod scheduling. Coverage includes AWS, Google Cloud, Azure, private cloud, Kubernetes, Linux-based virtual machines, and Linux and Windows hosts. Sweet lists container, serverless, and Kubernetes protection, along with automated compliance checks. It is agent-based, with pricing on request and demos offered to prospective customers.

Who it is for

Sweet names CISOs, CloudSec and DevSecOps, SOC and incident response, and AppSec teams as audiences. It may suit teams seeking cloud workload protection and controls for AI agents across supported environments.

What is good

  • Combines cloud, application, and workload detection and protection.
  • AI Gateway analyzes agent traffic and supports policy controls.
  • Automated checks cover industry and custom frameworks.
  • Lists AWS, Google Cloud, Azure, and private cloud support.

What to know first

  • Pricing is available on request.
  • Deployment is agent-based.

Verdict

Sweet combines runtime cloud protection with controls for AI agents and cloud posture management. Teams evaluating it will need to request pricing and a demo.

Compared on cloud workload protection platforms

Container protection
Yes
Serverless protection
Yes
Kubernetes protection
Yes
Deployment model
agent-based
Response actions
Terminate malicious processes; kill compromised containers; prevent pod scheduling; custom playbooks; webhooks
Supported host OS
Linux; Windows
Cloud platforms
AWS; Google Cloud; Azure; private cloud

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