Veeam Data Platform is an enterprise data resilience platform built to protect data, ensure clean recovery, and support workload portability across hybrid and multicloud environments. The platform brings together backup, recovery, security, monitoring, threat detection, storage, orchestration, governance, and compliance into a unified data protection architecture. Veeam helps organizations recover from cyberattacks, outages, accidental deletion, infrastructure failures, and ransomware with confidence. Its AI-powered threat defense scans at backup and restore, helping teams identify threats before recovery and validate that restore points are clean. Workload mobility capabilities allow organizations to move data and workloads across hypervisors, clouds, storage systems, and platforms without vendor lock-in. Veeam also supports disaster recovery, multicloud protection, immutability, retention automation, DR testing, audit-ready reporting, and data sovereignty controls. Platform editions include Foundation for backup and recovery, Advanced for proactive monitoring and analytics, and Premium for orchestration and full cyber resilience. Add-ons such as Veeam Data Cloud Vault provide immutable cloud storage for organizations expanding their resilience strategy. By combining data protection, cyber resilience, recovery orchestration, threat detection, governance, and portability, Veeam Data Platform helps enterprises keep data secure, recoverable, and ready for modern AI-driven operations.
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c/side: The Client-Side Platform for Cybersecurity, Compliance, and Privacy
Monitoring third-party scripts effectively eliminates uncertainty, ensuring that you are always aware of what is being delivered to your users' browsers, while also enhancing script performance by up to 30%. The unchecked presence of these scripts in users' browsers can lead to significant issues when things go awry, resulting in adverse publicity, potential legal actions, and claims for damages stemming from security breaches. Compliance with PCI DSS 4.0.1, particularly sections 6.4.3 and 11.6.1, requires that organizations handling cardholder data implement tamper-detection measures by March 31, 2025, to help prevent attacks by notifying stakeholders of unauthorized modifications to HTTP headers and payment information. c/side stands out as the sole fully autonomous detection solution dedicated to evaluating third-party scripts, moving beyond reliance on merely threat feed intelligence or easily bypassed detections. By leveraging historical data and artificial intelligence, c/side meticulously analyzes the payloads and behaviors of scripts, ensuring a proactive stance against emerging threats. Our continuous monitoring of numerous sites allows us to stay ahead of new attack vectors, as we process all scripts to refine and enhance our detection capabilities. This comprehensive approach not only safeguards your digital environment but also instills greater confidence in the security of third-party integrations.
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Tenable One AI Exposure
Tenable One AI Exposure is a robust, agentless solution integrated into the Tenable One exposure management platform, designed to enhance visibility, context, and control over the utilization of generative AI tools such as ChatGPT Enterprise and Microsoft Copilot. This tool empowers organizations to track user engagement with AI technologies, providing insights into who is accessing them, the nature of the data involved, and the execution of workflows, while identifying and addressing potential risks like misconfigurations, insecure integrations, and the leakage of sensitive information, including personally identifiable information (PII), payment card information (PCI), and proprietary business data. Furthermore, it protects against threats like prompt injections, jailbreak attempts, and policy breaches by implementing security measures that do not interfere with daily operations. Compatible with leading AI platforms and ready for deployment in just minutes with zero downtime, Tenable AI Exposure facilitates the governance of AI use, making it an essential component of an organization's overall cyber risk management strategy, ultimately ensuring safer and more compliant AI operations. By integrating these security protocols, organizations can foster a culture of responsible AI usage while mitigating potential vulnerabilities.
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iDox.ai Guardrail
iDox.ai Guardrail serves as an immediate security measure for AI applications, designed to safeguard sensitive information from being exposed during generative AI tasks.
This innovative solution functions at the endpoint, intercepting user prompts, uploaded files, and any AI interactions prior to data transmission from the device. Guardrail employs policy-driven mechanisms to identify and prevent the leakage of sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and other confidential business data.
In contrast to conventional data loss prevention (DLP) systems, Guardrail is tailored specifically for AI applications. It continuously observes user engagement with AI platforms like ChatGPT, Microsoft Copilot, and Claude, applying protective measures in real-time to ensure security.
Among its key features are:
- Continuous monitoring of prompts and file submissions
- Detection of sensitive data with AI awareness
- Real-time anonymization and sanitization processes
- Defense against risks associated with AI agents, such as unauthorized file access incidents (e.g., OpenClaw)
- Implementation of website whitelisting and strict policy enforcement.
Additionally, Guardrail enhances user confidence in utilizing AI technologies while ensuring compliance with data privacy regulations.
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