Radware Agentic AI Protection is a service that helps organizations discover, govern, and secure the AI agents operating across their environment, including unsanctioned "shadow AI" such as external services like Perplexity used without approval. It continuously maps agents, tools, and their access to enterprise resources such as databases and file repositories, and provides governance reporting aligned with frameworks like ISO 42001, the NIST AI Risk Management Framework, and the EU AI Act. The service evaluates AI risk posture across agents and tools, identifying sensitive data exposure and potential attack paths. It provides real-time, intent-aware behavioral protection against threats specific to autonomous AI systems, including prompt injection, agent behavior hijacking, tool misuse, memory poisoning, and supply chain attacks between agents. It integrates with agent platforms such as Microsoft Copilot, Azure AI Foundry, AWS Bedrock, Anthropic Claude Code, OpenClaw, and N8N.
Radware Agentic AI Protection software utilizes a subscription-based pricing model, typically structured according to the scale and features required by the organization. Pricing may vary based on factors such as deployment size and the range of protection offered, with options for annual or multi-year terms. The software provides flexibility in coverage and can be integrated into broader Radware security solutions to suit different enterprise needs.
Securonix Next-Gen SIEM is a security information and event management solution designed to provide advanced threat detection, response, and compliance capabilities. It leverages machine learning and big data analytics to offer a comprehensive security platform for modern enterprises.
Securonix Next-Gen SIEM utilizes advanced analytics and machine learning to detect complex threats that traditional SIEM solutions might miss. Its architecture is built on Hadoop, enabling scalability and the processing of large volumes of data in real-time. This allows organizations to gain deep insights into security incidents, prioritize threats, and automate response actions. The solution also includes behavior analytics to detect insider threats and unknown attacks, integrating seamlessly with existing IT infrastructure.
What are the critical features of Securonix Next-Gen SIEM?
-
Advanced Threat Detection: Uses machine learning algorithms to identify sophisticated threats and reduce false positives.
-
Behavior Analytics: Analyzes user and entity behavior to detect insider threats and anomalies.
-
Scalable Architecture: Built on Hadoop, it scales to handle large data volumes, providing real-time analytics.
-
Automated Response: Automates incident response to mitigate threats quickly and efficiently.
-
Integration Capabilities: Easily integrates with various IT and security tools for comprehensive coverage.
What is the ROI expectations?
-
Improved Threat Detection: Enhanced ability to detect and respond to advanced threats, reducing risk.
-
Operational Efficiency: Automation of repetitive tasks allows security teams to focus on more critical activities.
-
Cost Savings: Scalability and efficient data processing reduce the need for additional hardware and resources.
-
Compliance Support: Helps in meeting regulatory compliance requirements through detailed reporting and monitoring.
Securonix Next-Gen SIEM is implemented across various industries, including finance, healthcare, and retail. Its flexibility and advanced analytics capabilities make it suitable for environments with complex security needs. In finance, it helps detect fraud, while in healthcare, it ensures patient data security. In retail, it protects against data breaches and payment fraud.
In summary, Securonix Next-Gen SIEM offers advanced threat detection, scalability, and integration capabilities, making it a robust solution for modern enterprises.
