
Sweet Security
Sweet Security describes its product as a runtime cloud security platform for applications, workloads, infrastructure, and AI agents.
What Sweet Security is
Sweet Security describes its product as a runtime cloud security platform for applications, workloads, infrastructure, and AI agents. Its Runtime CNAPP combines Cloud Detection and Response, Application Detection and Response, and Cloud Workload Protection, using eBPF sensors and cloud logs. Sweet also describes AI security spanning the model layer through agent execution, with visibility, runtime intelligence, and policy-based guardrails. Its AI Gateway analyzes agent traffic, and policies can block malicious operations or risky actions while allowing a session to continue. Runtime CSPM detects misconfigurations, prioritizes risk, provides remediation guidance, and applies deployment guardrails. AI-generated incident storylines arrange activity into a readable sequence to help teams identify false positives and who needs to act. Response playbooks guide manual or automatic termination of malicious processes; listed actions also include killing compromised containers and preventing pod scheduling. Governance and Compliance runs automated checks against industry and custom frameworks. Sweet lists AWS, Google Cloud, Azure, private cloud, Kubernetes, and Linux-based virtual machines, with Linux and Windows hosts. It is agent-based and includes container, serverless, and Kubernetes protection. Integrations include GitHub, GitLab, Slack, Microsoft Teams, ServiceNow, Jira, Splunk, Microsoft Sentinel, and Torq. Pricing is available on request, and prospective customers are directed to book a demo.
Good
- Combines three runtime protection capabilities
- AI Gateway analyzes agent traffic
- Includes misconfiguration detection and remediation guidance
- Supports AWS, Google Cloud, and Azure
- Lists container, serverless, and Kubernetes protection
Watch out
- Pricing is available only on request
- Prospective customers must book a demo
Who it suits
Sweet names CISOs, CloudSec and DevSecOps, SOC and IR, and AppSec teams as audiences for its cloud and AI security solutions. It may suit organizations seeking runtime detection, posture controls, or AI-agent guardrails across listed cloud environments.
Verdict
Sweet Security combines runtime cloud protection, posture management, incident response, and controls for AI agents. Organizations should confirm fit and pricing through a demo request.
The facts
Each one read from Sweet Security's own pages, with the date it was checked.
What it does
- AI access controls
- The platform describes per-operation authorization and real-time blocking of risky actions while allowing a session to continue.checked 4 Oct 2026
- AI controls
- The AI security page describes analyzing AI agent traffic through an AI Gateway and blocking malicious operations with policies and guardrails.checked 3 Oct 2026
- AI security
- Sweet says its AI security platform inventories models and agents, monitors AI posture, supports agent red teaming, and detects or blocks agent attacks through an AI Gateway.checked 4 Oct 2026
- Attack testing
- The homepage says continuous attack cycles test environments against zero-day threats and use each pass to improve the next.checked 3 Oct 2026
- Audience
- The site identifies CISOs, CloudSec and DevSecOps, SOC and IR, and AppSec teams as audiences for Sweet.checked 3 Oct 2026
- Cloud posture
- Runtime CSPM includes real-time misconfiguration detection, risk prioritization, remediation guidance, and deployment guardrails.checked 4 Oct 2026
- Cloud providers
- The integrations page lists AWS, Azure, and Google Cloud.checked 4 Oct 2026
- Compliance
- Sweet lists continuous compliance checks for HIPAA, CIS Kubernetes Benchmark, GDPR, NIST, SOC 2, AWS MITRE ATT&CK, and AWS PCI.checked 4 Oct 2026
- Deployment coverage
- Sweet's CloudSec and DevSecOps page lists support for AWS, Google Cloud, Azure, private cloud, Kubernetes, and Linux-based virtual machines.checked 3 Oct 2026
- Incident response
- Sweet says its AI-generated incident storylines organize activity into a readable sequence and help teams identify false positives and who needs to act.checked 4 Oct 2026
- Other integrations
- Listed integrations include GitHub, GitLab, Slack, Microsoft Teams, Splunk, Microsoft Sentinel, ServiceNow, Jira, Torq, and CyberArk.checked 4 Oct 2026
- Product
- Sweet describes itself as a Runtime CNAPP and AI security platform for cloud and AI environments.checked 4 Oct 2026
- Response playbooks
- Its AI-powered playbooks guide manual or automatic termination of malicious processes, which Sweet says can be done without disrupting production.checked 4 Oct 2026
- Runtime guardrails
- Sweet says it can turn fixes into real-time guardrails that stop threats from returning across cloud workloads and autonomous AI agents.checked 3 Oct 2026
- Runtime protection
- Its Runtime CNAPP combines Cloud Detection and Response, Application Detection and Response, and Cloud Workload Protection.checked 3 Oct 2026
- Sales and support
- The site directs prospective customers to book a demo and does not display public plan pricing on the pages opened.checked 3 Oct 2026
- Sales and support route
- The product pages direct prospective customers to request a demo; the site does not state public plan prices on the pages reviewed.checked 4 Oct 2026
- Sensor
- Sweet says its eBPF-based sensor provides cloud protection and visibility without performance penalties.checked 3 Oct 2026
- Threat detection
- The platform combines Cloud Detection and Response, Application Detection and Response, and Cloud Workload Protection using eBPF sensors and cloud logs.checked 4 Oct 2026
The company
- Company leadership
- The About page lists Dror Kashti as Co-Founder and CEO and Eyal Fisher as Co-Founder and CPO.checked 4 Oct 2026
- Intended teams
- Sweet names CISOs, CloudSec and DevSecOps, SOC and IR, and AppSec teams as audiences for its solutions.checked 4 Oct 2026
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