Overview
Product Information on Cisco AI Defense
What is Cisco AI Defense?
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Overall experience with Cisco AI Defense
“Real-Time Threat Detection Features Offset Complex Setup and Basic Reporting Tools”
“Platform Provides Reliability and Security but Documentation Remains Difficult to Navigate”
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Company Description
Cisco is a company that specializes in networking technologies, particularly Internet Protocol (IP)-based solutions. It was established in 1984 by a group of computer scientists from Stanford University. As of today, Cisco has a global workforce, continuing to innovate in various fields, notably in routing and switching. Adding to its core business, the company also delves into emerging technologies including home networking, IP telephony, optical networking, security features, storage area networking, and wireless technology. Moreover, Cisco extends its expertise to offer a sweeping range of services such as technical support and advanced services. The company sells its products and services on an enterprise level, to commercial businesses, service providers, and end-users.
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Reviewer Insights for: Cisco AI Defense
Cisco AI Defense Likes & Dislikes
User-friendly interface and near-real-time threat detection
A combination of functionality and security, the product not only delivers on its promise but also incorporates measures that give me confidence.
What i like most about the Robust Intellegence Platfrom is its ability to uncover and prevent AI-specific vulnerabilities before they cause real damage. The automated red teaming feature is particularly impressive-it simulates real attack vectors like jailbreaks, data leakge, and promt injection without requiring manual setup.
The initial setup is quite complex and the dashboard customization is pretty limited. You might find yourself wishing for more detailed reports or dashboards.
The documentation and some features are powerful but its hard to understand how to use them correctly.
1. UI/UX and Learning Curve The initial user experience can be a bit overwhelming, especially for teams that are new to AI Security. 2. Limited Advanced Analytic While the platform does a great job at detecting and mitigating risk, I found the analytics capabilities somewhat limited. 3. Integration Complexity (Outside Cisco Ecosystem) The integration is seamless within the Cisco ecosystem, but for teams using third-party tools or non-Cisco environments, additional effort is required to achieve full interoperability.
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Cisco AI Defense Reviews and Ratings
- SENIOR SECURITY ENGINEER50M-1B USDIT ServicesReview Source
Real-Time Threat Detection Features Offset Complex Setup and Basic Reporting Tools
One of the first things I noticed was how intuitive the user interface is. For a security platform that handles so much data, it’s surprisingly easy to navigate. The centralized dashboard offers a great at-a-glance overview of your entire network's health. Additionally, I've been impressed with how quickly it flags suspicious activities and how it suggests corrective actions. - IT Associate50M-1B USDIT ServicesReview Source
Automated Red Teaming and AI Vulnerability Prevention Stand Out in Platform Use
My experience with Cisco's Robust Intellegence Platform has been excellent. It provides complete lifecycle AI Security - from model validation to runtime protection - SOC MANAGER1B-10B USDTelecommunicationReview Source
Automated Compliance Simplifies Governance And Reporting For Industry Security Standards
Cisco's Robust Intelligence platform is a competent solution for securing and validating machine learning models. It effectively addresses critical vulnerabilities in the AI lifecycle, providing necessary tools for risk management. - DATA ANALYST1B-10B USDServices (non-Government)Review Source
Automated Safety Testing Enhances Security
This addressed security and operational risk for our company by automating safety testing - NETWORK ENGINEER<50M USDSoftwareReview Source
Robust Intelligence Platform Simplifies AI Model Risk Detection and Real-Time Alerts
Robust Intelligence Platform is a powerful tool for organizations serious about ensuring the reliability, fairness and safety of their AI models.