Upwind vs Sweet Security for Cloud Runtime CNAPP

Monday cloud triage still fails in two familiar ways. Agentless posture dumps thousands of findings without live process, API, or identity context. Runtime alerts fire without a trustworthy inventory of what else is running. Operators then bounce between consoles while the same workload stays exposed.

Between these two the centers differ. Upwind productizes Inside-Out Cloud and AI security: agentless scanning plus runtime sensors, live inventory, high-signal exposures, and real-time protection, with the AI Security Platform and AI Agentic Pack generally available in May 2026. Sweet productizes proactive runtime enforcement for cloud and AI through the Learning Loop (Attack, Fix, Defend), with Sweet Attack launched 13 May 2026 to prove exploitable paths on runtime context. Both ride eBPF-class runtime. Both talk AI. For application runtime exploitability versus Sweet see Oligo vs Sweet Security. Broader CNAPP shortlists live under cloud security platforms. More pairs under Compare.

	Upwind	Sweet Security
Job	Runtime-first Cloud and AI CNAPP: agentless posture plus runtime sensors, live inventory, detection/response, AI Agentic Pack	Proactive runtime enforcement for cloud and AI: Learning Loop Attack / Fix / Defend, Sweet Attack path proof, blocking
How a bad day closes	Correlate runtime and cloud activity, prioritize reachable exposure, investigate with Blue / remediate with Green under Choppy coordination	Validate an exploitable path with Sweet Attack, remediate with Fix, block or contain with Defend / response playbooks
Operator morning unit	Live inventory drift, high-signal exposures, runtime detections, agent-pack tasks	Verified attack paths, runtime guardrail candidates, open response actions
Deploy	Agentless connectors plus runtime sensors / tracers on VMs, containers, serverless	eBPF runtime sensors across cloud workloads plus CNAPP connectors for posture, identity, API, AI
License/pricing	Demo / sales quote; no public dollar SKU (checked 13 Sep 2026)	Demo / sales quote; no public dollar SKU (checked 13 Sep 2026)
Who operates it	CloudSec / SecOps / platform consolidating CNAPP and AI security into one console	CloudSec / SecOps prioritizing runtime-proven paths and enforcement over alert volume

Both vendors in this pair compete in that runtime-leaning CNAPP conversation. The split is consolidation of agentless plus runtime with agentic ops (Upwind) versus enforcement-first Attack / Fix / Defend loops (Sweet).

We reviewed first-party documentation, pricing pages, product announcements, and live community threads. We did not test the products in paid production environments, so this is not a hands-on benchmark. This page does not include exploit proofs of concept.

Upwind

Sweet Security

Editions and pricing

Both are demo-led. Upwind markets one platform SKU that includes AI Security. Sweet markets runtime CNAPP plus AI enforcement modules on quote.

	Upwind	Sweet Security
Packaging story	Cloud and AI under one runtime fabric; AI Security described as part of the platform SKU on the May 2026 launch	Runtime CNAPP plus Learning Loop modules; Sweet Attack GA to customers on the May 2026 launch
How you buy it now	Get a demo / enterprise quote	Demo / risk assessment path
Public units	No public dollar SKU (checked 13 Sep 2026)	No public dollar SKU (checked 13 Sep 2026)
What the invoice covers	Agentless plus sensor coverage, CNAPP modules in scope, AI Agentic Pack access per quote	Runtime sensors, Attack / Fix / Defend capabilities, AI blocking / response features per quote
Self-serve start	Demo	Demo

Price the operating model. Consolidation into one Cloud and AI console points at Upwind. Enforcement-first path proof and blocking points at Sweet.

Agentless plus runtime CNAPP coverage

	Upwind	Sweet Security
Primary surface	Agentless discovery plus runtime sensors for live inventory, exposure, CDR, API, identity, and AI workloads in one picture	Runtime-first CNAPP with strong enforcement and AI modules; agentless breadth is not the marketing center
AI add-on shape	View / Protect / Validate AI Security on the same fabric; Blue, Green, Red, Choppy agents	AI agent discovery, AI-DR style controls, Agentic AI Blocking; Sweet Attack uses runtime context for cloud and AI paths
Operator workflow	Inventory and exposure first, then runtime detect and agentic investigate/remediate	Prove the path, fix it, defend with guardrails and response from the same loop
What teams argue about	Whether one Upwind SKU replaces separate CSPM, CWPP, and AI tools without gaps	Whether Sweet’s runtime depth covers posture breadth the committee expects from a full CNAPP RFP

If the painful queue is fragmented cloud and AI findings across agentless and runtime tools, Upwind is the clearer hire between these two.

Runtime enforcement and attack-path proof

	Upwind	Sweet Security
Primary surface	Real-time protection and AI-DR style detections; Red agent validates exploitable paths inside the Agentic Pack	Sweet Attack continuously validates exploitable chains on live runtime topology, then Fix and Defend close them
Enforcement shape	Detect, investigate, and remediate with people and agents; confirm blocking depth in the POC	Runtime blocking and containment marketed as a product center, including rogue agent blocking
Evidence style	Runtime forensics correlated with cloud activity and inventory	Audit-ready attack-path reports with runtime conditions that made a path work
What teams argue about	Whether agentic remediation replaces an enforcement-first Learning Loop	Whether Attack / Fix / Defend replaces the need for a broad agentless CNAPP inventory

If the painful queue is proving and stopping exploitable runtime paths before the next alert storm, Sweet is the clearer hire between these two.

Decide the weekly queue first. If the product must unify agentless posture with runtime sensors for Cloud and AI, that is Upwind. If the product must prove and enforce runtime attack paths for cloud and AI, that is Sweet Security. Only then open the quotes.