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Sweet Security

Sweet Security is a runtime security protection platform for cloud and AI, focused on "proactive runtime enforcement" capabilities. It is deployed in the runtime environment, monitoring and intercepting abnormal behavior in real time at the point where intent turns into actual action, ensuring that online production environments are not compromised. Its built-in Learning Loop™ continuously iterates through "attack—fix—defend," allowing agents to continuously learn the behavior patterns that each application, AI agent, and workload should exhibit, so that threats are detected and blocked immediately when they actually act, and each fix is turned into a real-time guardrail to prevent similar threats from recurring. The platform can cover cloud-native applications and autonomous AI agents, providing complete attack path tracing from prompt to data, and every finding comes with a corresponding remediation action. The product is primarily aimed at enterprise security teams (such as CISOs), and is suitable for scenarios such as runtime threat detection in cloud environments and AI agents, zero-day attack exercises, and vulnerability remediation prioritization. Specific pricing, deployment details, and more technical specifications are not yet provided in the existing materials.

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About this tool

Sweet Security is positioned as a proactive runtime enforcement platform for cloud and AI (Proactive Runtime Enforcement for Cloud and AI), with the core idea that in security, the truth exists where the action happens. The platform runs in the runtime environment, that is, the link where intent turns into actual action, capturing undesirable behavior in real time and taking immediate response to avoid problems in online production environments.

I. Main capabilities

  1. Runtime behavior monitoring and interception: Sweet runs at runtime, can detect the moment a threat action occurs, and can block rogue agent behavior on the spot.
  2. Learning Loop™: A built-in learning loop that continuously improves "immunity" from both attack and defense directions. Sweet's agents continuously evolve defense strategies by continuously learning how each application, AI agent, and workload should behave.
  3. Attack—fix—defend closed loop: Continuously loop-testing zero-day threats at AI speed, with each round strengthening the next round of defense; every attack path reveals the gaps that truly matter in cloud and AI environments, helping reduce noise, fix critical issues, and resolve incidents within minutes.
  4. Attack path tracing: Can trace the complete attack path from prompt to data.
  5. One-click runtime guardrails: Every fix is turned into a one-click runtime guardrail, preventing threats from recurring, covering cloud workloads and autonomous AI agents.
  6. Every finding comes with a remediation action: Sweet does not just flag AI risks, but provides the corresponding resolution action.

II. How to use and applicable scenarios The materials mention that users can see how Sweet protects cloud-native applications and AI agents in a single platform through a 30-minute walkthrough. The platform is suitable for enterprises that want to unify cloud and AI security, covering any application, all AI agents, and scalable security protection from cloud to AI. Its advertised scenarios include: running AI on protected infrastructure, AI validation of AI findings to improve accuracy, and inline enforcement of AI guardrails at machine speed.

III. Customer feedback (from quotes in the materials) The CIO and CISO of Cast & Crew stated that they had hired top-tier offensive security firms for many years, while Sweet Attack discovered in three days exploitablepath, along with an immediately executable prioritized remediation plan. ShipStation's CISO stated that Sweet quickly presented a verified exploitable attack path, shifting the team from remediating vulnerabilities to preventing intrusions. Fireblocks' CISO mentioned that Sweet helps focus mitigation on the issues that truly matter, rather than a large volume of false-positive noise. Kaltura's CISO and DPO pointed out that its eBPF-based approach is very lightweight and efficient, with no need to worry about performance degradation. Engageli's VP of R&D emphasized that its environment does not allow failures and must always maintain maximum performance.

IV. Limitations and Information Not Yet Provided The existing materials do not provide specific pricing, version packages, deployment steps, installation commands, a list of supported cloud platforms, compliance certifications, or other details; this content has not yet been provided.

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