Stop AI Threats in Real Time Across Every Prompt, Response, and Agent Action
AI interactions introduce security risks in real tie, from prompt injection to autonomous agent actions. Enforce inline protection across every interaction without retraining models or slowing performance.
AI Is Moving From Language To Action. Are You Ready?
See what recent attacks revealed and how to secure agents in 2026.
AI Executes in Real Time.
Security Can’t Keep Up
AI moves fast, from user input to system action in real time. Security controls often lag behind, identifying issues only after they occur. By then, sensitive data may already be exposed or actions already executed.
Prompt Injection and Jailbreaks Happen in a Single Interaction
Attackers do not need persistence. They only need one prompt. Injection and jailbreak techniques manipulate model behavior instantly, bypassing static controls and exposing sensitive data.
Consequence
One malicious prompt can lead to data leakage, policy violations, or compromised outputs.
AI Agents Can Execute Unsafe Actions in Real Time
Agents interact with APIs, tools, and enterprise systems automatically. Runtime protection must inspect agent behavior as it happens, stopping unsafe tool use, unauthorized operations, and harmful actions before they affect connected systems.
Consequence
Unvalidated actions create direct risk to data, systems, and business operations.
Sensitive Data Is Exposed Inside AI Workflows
Prompts and responses often include confidential or regulated data. Without inspection at runtime, organizations lose control over how that data is used or exposed.
Consequence
Data leaks happen silently inside normal AI usage.
Traditional Security Cannot Interpret AI Behavior
Existing tools do not understand prompts, outputs, or agent intent. They miss AI-native threats that happen inside interactions.
Consequence
Critical threats go undetected until after damage is done.
Enforce Security at the Exact Moment AI Risk Occurs
AI security must operate inline with AI itself. Runtime protection inspects, understands, and enforces policy across every interaction before risk turns into impact.
Block Malicious Prompts and Unsafe Outputs
Inspect every prompt and response in real time to detect and stop prompt injection, jailbreaks, and harmful content. Runtime protection understands intent, not just keywords, so it can stop sophisticated attacks without disrupting legitimate use.
- Stop prompt injection and jailbreak attempts instantly
- Detect sensitive data exposure in inputs and outputs
- Enforce policies based on context and intent
- Maintain sub-50ms latency for seamless user experience
Bring Visibility, Governance, and Protection Together for Every AI Interaction
Stop Unsafe Agent Actions Before They Execute
Inspect agent actions in real time to detect unsafe behavior, tool misuse, and unauthorized operations before they execute across APIs, tools, and connected systems.
- Inspect agent actions as they happen
- Stop unsafe tool use and harmful operations
- Prevent unauthorized actions before execution
- Apply runtime protection across agentic workflows
Stop Sensitive Data Exposure in Live AI Interactions
Inspect prompts, responses, and agent activity as AI systems operate. Detect sensitive data in real time and prevent exposure before it leaves the interaction, without blocking legitimate AI use.
- Prevent data leakage across prompts and outputs
- Enforce data protection policies in real time
- Monitor how data is used by AI systems and agents
- Reduce regulatory and compliance risk
체크포인트 관련 제품/솔루션
Check Point AI Runtime Protection is an inline security layer that monitors and enforces policy across every AI interaction in real time – covering user prompts, model responses, and autonomous agent actions. It prevents threats like prompt injections, data leakage, and unauthorized agent behavior without requiring model retraining or impacting performance.
AI Runtime Protection is built for security and platform teams operating AI-powered applications, copilots, or autonomous agents in production. It is especially relevant for organizations where AI models interact with sensitive data or execute real-world actions – such as in financial services, healthcare, and enterprise SaaS environments.
AI Runtime Protection defends against the attack surface unique to AI systems. This includes prompt injection attacks (where malicious inputs manipulate model behavior), sensitive data exposure in model responses, jailbreak attempts that bypass model guardrails, and unauthorized or unintended actions taken by autonomous AI agents. Protection is applied inline at the interaction level, catching threats in real time before they result in data loss or system compromise.
AI Security Posture Management (AI-SPM) identifies risks in your AI infrastructure at the configuration and posture level – before runtime. AI Runtime Protection complements this by enforcing security controls during live AI interactions. Together, they provide end-to-end coverage: AI-SPM secures how AI is built and configured, while AI Runtime Protection secures how it behaves in production.
AI Runtime Protection is designed for rapid deployment with no model retraining required. It integrates inline with your existing AI stack and can be operational without disrupting active workloads or slowing inference performance.
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