Features, pricing, ratings, and pros and cons, compared head to head.
Sweet AI Security Platform (AISP) is a commercial ai spm tool by Sweet Security. Sweet Security Runtime CNAPP is a commercial cloud-native application protection platform tool by Sweet Security. Compare features, ratings, integrations, and community reviews side by side to find the best ai spm fit for your security stack. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
Mid-market and enterprise security teams deploying AI agents across multiple platforms need Sweet AI Security Platform for one reason: it's the only tool that treats agents as discoverable, monitorable assets with enforceable permissions rather than black boxes. The platform covers eight NIST CSF 2.0 functions including the critical identity and access control layer that most AI security tools skip entirely, and its native integrations with Bedrock, Vertex AI, and Copilot Studio mean you're not bolting on another disconnected scanner. Skip this if your AI use case is limited to ChatGPT in a sandbox; AISP assumes agents are embedded across your tech stack and requires the operational overhead to prove it. Mid-market and enterprise teams running AI workloads need Sweet Security Runtime CNAPP because its purpose-built LLM actually deprioritizes noise instead of just generating more alerts. The vendor covers four of six NIST CSF 2.0 core functions, with particular strength in DE.CM and DE.AE; the AI stack security monitoring for models, agents, and architecture fills a gap most runtime platforms ignore entirely. Skip this if you need broad CSPM or vulnerability scanning in the same tool; Sweet Security is deliberately focused on runtime detection and AI-specific threats, not asset inventory or compliance reporting.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Sweet AI Security Platform (AISP)
Mid-market and enterprise security teams deploying AI agents across multiple platforms need Sweet AI Security Platform for one reason: it's the only tool that treats agents as discoverable, monitorable assets with enforceable permissions rather than black boxes. The platform covers eight NIST CSF 2.0 functions including the critical identity and access control layer that most AI security tools skip entirely, and its native integrations with Bedrock, Vertex AI, and Copilot Studio mean you're not bolting on another disconnected scanner. Skip this if your AI use case is limited to ChatGPT in a sandbox; AISP assumes agents are embedded across your tech stack and requires the operational overhead to prove it.
Mid-market and enterprise teams running AI workloads need Sweet Security Runtime CNAPP because its purpose-built LLM actually deprioritizes noise instead of just generating more alerts. The vendor covers four of six NIST CSF 2.0 core functions, with particular strength in DE.CM and DE.AE; the AI stack security monitoring for models, agents, and architecture fills a gap most runtime platforms ignore entirely. Skip this if you need broad CSPM or vulnerability scanning in the same tool; Sweet Security is deliberately focused on runtime detection and AI-specific threats, not asset inventory or compliance reporting.
End-to-end AI security platform for models, agents, and runtime protection
Runtime CNAPP with AI-powered cloud and AI stack security platform
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Common questions about comparing Sweet AI Security Platform (AISP) vs Sweet Security Runtime CNAPP for your ai spm needs.
Sweet AI Security Platform (AISP): End-to-end AI security platform for models, agents, and runtime protection. built by Sweet Security. Core capabilities include AI Bill of Materials (AI-BOM) tracking, AI Security Posture Management (AI-SPM), AI agent discovery and monitoring..
Sweet Security Runtime CNAPP: Runtime CNAPP with AI-powered cloud and AI stack security platform. built by Sweet Security. Core capabilities include Runtime context collection and analysis, AI-powered risk prioritization with purpose-built LLM, Threat detection for malicious scripts and cryptocurrency mining..
Both serve the AI SPM market but differ in approach, feature depth, and target audience.
Sweet AI Security Platform (AISP) differentiates with AI Bill of Materials (AI-BOM) tracking, AI Security Posture Management (AI-SPM), AI agent discovery and monitoring. Sweet Security Runtime CNAPP differentiates with Runtime context collection and analysis, AI-powered risk prioritization with purpose-built LLM, Threat detection for malicious scripts and cryptocurrency mining.
Sweet AI Security Platform (AISP) is developed by Sweet Security. Sweet Security Runtime CNAPP is developed by Sweet Security. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Sweet AI Security Platform (AISP) integrates with AWS Bedrock, Azure AI Foundry, ChatGPT Enterprise, Copilot Studio, Google Vertex AI and 6 more. Sweet Security Runtime CNAPP integrates with PagerDuty, Snowflake, Slack. Check integration compatibility with your existing security stack before deciding.
Sweet AI Security Platform (AISP) and Sweet Security Runtime CNAPP serve similar AI SPM use cases. Review the feature comparison above to determine which fits your requirements.
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