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 from prompt to action instantly. Security controls need to detect and stop threats before actions are executed.
One Prompt Is All It Takes
Attackers can manipulate model behavior in a single interaction.
Result
Data exposure, policy violations, compromised outputs.
AI Agents Can Act Before Security Can Respond
AI agents interact directly with APIs, tools, and enterprise systems.
Result
Unauthorized actions, system compromise, operational disruption.
Sensitive Data Moves Through Every AI Interaction
Prompts, responses, and tool calls often contain confidential information.
Result
Data leaks and compliance violations.
Traditional Security Can’t See AI Behavior
They lack visibility into prompts, outputs, and agent intent.
Result
AI-native threats remain undetected.
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
CHECK POINT RELATED PRODUCTS/SOLUTIONS
AI runtime protection helps secure AI applications, copilots, and agents while they are actively processing requests, generating responses, and interacting with enterprise systems. By monitoring AI interactions in real time, organizations can reduce the risk of prompt injection attacks, sensitive data exposure, and unauthorized actions before they impact users or business operations.
Unlike traditional software, AI systems make decisions based on dynamic inputs and can access data, tools, and external systems. Threats such as prompt injection, jailbreaks, and malicious instructions can influence how AI models behave. Runtime protection provides visibility and enforcement during live interactions, helping organizations maintain security and compliance as AI systems operate.
Runtime protection can help detect and prevent a range of AI-specific threats, including prompt injection attacks, jailbreak attempts, sensitive data leakage, unsafe or unauthorized actions, and policy violations. By inspecting prompts, responses, and agent activity in real time, organizations can reduce the risk of compromised AI behavior and data exposure.
AI-SPM focuses on identifying and reducing risks across AI models, applications, data sources, and configurations. Runtime protection focuses on securing AI interactions after deployment by monitoring and enforcing security policies during live operation. Together, these capabilities help organizations secure AI systems throughout the entire lifecycle.
No. Runtime protection is designed to work with existing AI deployments without requiring model retraining. Security controls are applied at the interaction layer, allowing organizations to protect AI applications and agents while continuing to use their preferred models, frameworks, and tools.
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