Sweet Security

Sweet protects cloud applications and AI agents while they run. It finds real attack paths, explains what went wrong, and applies fixes as runtime guardrails to help stop the same threat from returning.

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Overview Features Screenshots Use Cases

About Sweet Security

Who It's For

Sweet is for security teams protecting cloud applications, workloads, and AI agents. It can help teams find serious risks without sorting through large numbers of false alarms.

What You Get

Sweet checks for attack paths and watches for threats during runtime. It traces incidents from prompts to data, shows which fixes matter most, and can block harmful agent actions. Findings include a suggested fix, and fixes can become runtime rules.

How It Works

Sweet repeatedly tests environments for new threats and learns how applications and agents normally behave. When something dangerous happens, it detects it, acts inline, and applies a guardrail in under 100 milliseconds. It analyzes more than one billion runtime events each day.

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Features & Capabilities

🛡️ Runtime Threat Protection

Real-Time Threat Detection

Detects malicious behavior as it occurs across live production environments.

Inline Threat Blocking

Stops rogue agents and active threats immediately before they can cause damage.

Runtime Guardrails

Converts security fixes into enforcement controls that prevent recurring attacks.

🔄 Continuous Security Learning

Learning Loop

Continuously cycles through attack, remediation, and defense to improve security over time.

Zero-Day Attack Simulation

Tests environments against emerging threats at AI speed to expose exploitable paths.

Behavioral Runtime Reasoning

Learns how applications, AI agents, and workloads should behave to identify deviations.

🎯 Attack Path Analysis

Exploitable Path Discovery

Finds verified attack routes across cloud environments and AI systems.

Prioritized Remediation

Highlights the security gaps most likely to enable breaches and focuses remediation effort.

End-to-End Attack Tracing

Traces incidents from an AI prompt through affected systems and data.

One-Click Fixes

Provides an immediate remediation action for each identified security finding.

☁️ Unified Cloud and AI Security

Cloud Workload Protection

Secures applications and workloads across cloud environments.

Autonomous AI Agent Security

Protects AI agents from misuse and unsafe actions at runtime.

Unified Security Platform

Combines cloud and AI security capabilities in a single platform.

📈 Scalable Security Operations

Rapid Organizational Deployment

Secures an entire organization in hours rather than relying on years of periodic testing.

AI-Verified Findings

Uses AI verification to deliver highly accurate security findings with reduced noise.

High-Volume Runtime Analysis

Analyzes more than one billion cloud and AI runtime events daily.

Low-Latency Enforcement

Applies AI security guardrails inline in under 100 milliseconds.

Screenshots

See Sweet Security in action

Use Cases

Continuously Discover and Prioritize Exploitable Attack Paths

Security teams often rely on periodic penetration tests that miss exploitable paths and produce too much noise. Sweet continuously tests cloud and AI environments against emerging threats, verifies which paths are exploitable, and provides prioritized remediation plans so teams can address the gaps most likely to lead to a breach.

Cloud and AI SecurityFor: CISO

Detect and Block Runtime Threats Without Disrupting Production

Organizations need to catch malicious behavior as it occurs while preserving the performance and availability of live applications. Sweet analyzes runtime activity using a lightweight eBPF-based approach, detects threats at the moment of action, and enforces inline guardrails in under 100 milliseconds to prevent incidents without performance degradation.

Cloud-Native ApplicationsFor: Security Operations Team

Secure Autonomous AI Agents and Prevent Rogue Actions

As AI agents gain access to applications and sensitive data, security teams need visibility into how prompts translate into actions and a way to stop unsafe behavior immediately. Sweet traces attack paths from prompt to data, identifies abnormal agent behavior, blocks rogue actions at runtime, and converts fixes into guardrails that prevent recurrence.

Artificial IntelligenceFor: AI Security Leader

Turn Security Findings Into Immediate Remediation

Security teams frequently lose time translating alerts into operational fixes, while false positives overwhelm limited mitigation capacity. Sweet pairs each AI-verified finding with the action needed to resolve it, enabling one-click remediation and real-time protections that reduce investigation time and focus effort on issues that could actually cause a breach.

Enterprise CybersecurityFor: Security Operations and Cloud Security Teams

Scale Continuous Cloud and AI Security Across the Organization

Large organizations need to protect diverse applications, workloads, and AI agents without waiting years to close penetration-testing gaps or manually reviewing massive volumes of telemetry. Sweet analyzes more than one billion runtime events per day, continuously learns expected behavior, and helps secure an entire organization in hours while maintaining high accuracy and low operational overhead.

Enterprise Cloud and AIFor: CISO and Security Leadership