Last seen February 5, 2026

AI Prompt Injection Vulnerability

Radware introduced its LLM Firewall and Agentic AI Protection Solution to secure generative AI and AI agents against emerging threats. These solutions aim to mitigate vulnerabilities like direct and indirect prompt injection, agent hijacking, and unauthorized data exfiltration that can lead to unbounded execution and reputational damage.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

Radware introduced its LLM Firewall and Agentic AI Protection Solution to secure generative AI and AI agents against emerging threats. These solutions aim to mitigate vulnerabilities like direct and indirect prompt injection, agent hijacking, and unauthorized data exfiltration that can lead to unbounded execution and reputational damage.

Why This Matters

Current evidence identifies a security issue involving the affected technology, but does not yet support a more specific impact claim.

Recommended Action

No confirmed vendor remediation is available in the current evidence. Confirm whether the affected technology is present in your environment and review the affected configuration.

Exposure

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Feb 05, 2026 05:30

Exposure reason: This incident does not currently match a technology in My AI Stack.

Exploitation status: UNKNOWN

Primary entities:

AI AgentsPrompt Injection

Timeline

  • Incident first seen
    Feb 05, 2026 05:30

    BugSkan first recorded this incident.

  • Radware Combines AI Agent, LLM Firewall Tools to Give Enterprises, MSSPs a Full AI Security Portfolio - MSSP Alert
    Feb 05, 2026 05:30

    msspalert.com · Research

Sources

Radware Combines AI Agent, LLM Firewall Tools to Give Enterprises, MSSPs a Full AI Security Portfolio - MSSP Alert

msspalert.com · Feb 05, 2026 05:30

Radware introduced its LLM Firewall and Agentic AI Protection Solution to secure generative AI and AI agents against emerging threats. These solutions aim to mitigate vulnerabilities like direct and indirect prompt injection, agent hijacking, and unauthorized data exfiltration that can lead to unbounded execution and reputational damage.

Open publisher source

My AI Stack Match

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