Defend Agentic AI Systems End-to-End
- Agent Protection: Secure AI agents throughout their lifecycle and execution.
- Business Logic Defense: Prevent manipulation of critical workflows and operational processes.
- Layered Security Controls: Apply defense-in-depth across agents, tools, and data.
Stop Workflow Manipulation and AI Abuse
- Fraud Prevention: Identify suspicious transactions and AI-driven fraud attempts.
- Workflow Integrity: Block unauthorized modifications to business processes.
- Agent Misuse Detection: Detect compromised, rogue, or manipulated agents.
- Behavioral Analytics: Surface abnormal actions and high-risk activity in real time.
Block Automated Threats and API Attacks
- AI-Aware WAF: Defend against OWASP API and Web Top 10 threats.
- Bot Mitigation: Detect and stop automated abuse, scraping, and credential attacks.
- Malicious Agent Defense: Prevent hostile AI agents from exploiting services and workflows.
Detect, Prevent, and Enforce in Real Time
- Threat Detection: Identify prompt injection, data exfiltration, and unauthorized access.
- Tool Attack Prevention: Detect and block tool poisoning and rug pull attacks.
- MITRE-Aligned Visibility: Gain contextual insights mapped to known adversary tactics and techniques.
- Adaptive Enforcement: Apply inline blocking or out-of-band response actions based on risk.
Secure Every AI Decision Before It Becomes an Incident
AI threats don’t wait for post-event investigations. Stop attacks as they happen with real-time runtime protection for agents, MCP servers, and business workflows.
Frequently Asked Questions
What is AI Runtime Protection?
AI Runtime Protection is a security approach that continuously monitors, detects, and enforces controls on AI agents, MCP tools, prompts, and workflows during execution. It helps prevent attacks such as prompt injection, data exfiltration, tool poisoning, unauthorized actions, and AI abuse in real time.
How is AI Runtime Protection different from traditional application security?
Traditional security tools focus on network traffic and applications. AI Runtime Protection specifically understands agent behavior, prompt interactions, tool execution, AI workflows, and autonomous decision-making, providing protection tailored to agentic AI environments.
Can AI Runtime Protection stop prompt injection attacks?
Yes. Runtime protection can identify prompt injection attempts, detect malicious instructions, evaluate context, and enforce policies that prevent agents from executing unauthorized actions or accessing restricted resources.
Why is runtime visibility important for AI agents?
AI agents dynamically choose tools, workflows, and data sources. Runtime visibility allows organizations to understand what agents are doing, what resources they are accessing, and whether their actions align with security and governance policies.
What types of threats can AI Runtime Protection detect?
AI Runtime Protection can detect and help prevent prompt injection attacks, data exfiltration attempts, tool poisoning attacks, Rug pull attacks, unauthorized tool execution, excessive privilege abuse, business logic manipulation, fraudulent workflows, malicious or compromised AI agent activity, and so on.