Verified Rate for Accurate Detection of Ransomware Corruption

The CyberSense 99.99% SLA, goes through rigorous testing against real-world scenarios with live ransomware. By leveraging continuous learning and AI to perform deep content inspection, CyberSense achieves unprecedented accuracy when detecting data corruption.

Without this level of accuracy provided by CyberSense, organizations will remain vulnerable to ransomware attacks and will face elongated downtime and complex recovery processes that will negatively impact their organizations.

Maintain Confidence that alerts are real, and that false positives and negatives will be minimized

Support Continuous Accuracy with AI training done using real ransomware and studying how it changes data

Minimize Data Loss and cyber liability through detailed forensic reporting for faster, curated recovery

Prevent the Next Attack by feeding CyberSense's telemetry data to SIEM/SOAR systems

 Read more in this validation from Enterprise Strategy Group (ESG)

Innovative AI Strategies Supporting Trusted Data Recovery`

The Challenge: Evolving Threat Landscape: Ransomware attacks are more sophisticated than ever, targeting critical data with stealth and precision. Traditional data protection strategies often fail to detect corruption, leaving businesses vulnerable to downtime, data loss, and significant financial impact.

Protect your data and your business—explore CyberSense today. Download the whitepaper to learn more.

The CyberSense Advantage: CyberSense offers proven AI-powered protection, ensuring unmatched accuracy and resilience:

• 99.99% Detection Accuracy: Identify ransomware-induced corruption with precision.
• Real-Time Data Integrity Checks: Analyze data at the binary level to detect even the most advanced attack patterns.
• Rapid, Confident Recovery: Forensic insights enable swift recovery of clean data, minimizing downtime and impact.

Why Choose CyberSense? Trust that you will have best possible recovery in the wake of a cyberattack.

Achieve the Modern Workplace with Recast Software is a guide designed to help IT leaders and professionals transform their complex IT environments into secure, agile, and efficient digital workspaces. This eBook explores the evolution of IT management, emphasizing how modern tools and strategies can streamline operations and enhance security.

Key Focus Areas Include:

• Unified Endpoint Management: Learn how to centralize control over both company-issued and BYOD devices using platforms like Microsoft Intune and Configuration Manager. Discover strategies to reduce overhead while improving visibility and operational efficiency.

• Advanced Security Solutions: Explore proactive threat detection, AI-driven compliance checks, and automated security protocols. The ebook delves into tools like the Recast Copilot for Security Plugin that work hand-in-hand with Microsoft’s security enhancements to protect your digital workspace.

• Streamlined Application Management: Understand how to simplify application deployment and patch management. With features like automated updates and self-service portals, IT teams can ensure that software remains current and secure with minimal manual effort.

• Digital Transformation for Modern IT: Uncover the broader framework of the modern workplace that goes beyond mere AI integration. The ebook emphasizes productivity, collaboration, and the need for a secure, adaptable IT infrastructure that meets today’s dynamic business challenges.

What You’ll Gain:

• Actionable Insights: Clear, practical steps to overcome common IT challenges and achieve a seamless transition to modern endpoint management.

• Enhanced Efficiency: Strategies to unify disparate IT environments and streamline management processes.

• Improved Security Posture: Techniques to bolster your organization’s defenses against evolving cyber threats.

By focusing on these critical areas, this eBook serves as a resource for IT professionals aiming to future-proof their digital operations while maximizing return on investment. Embrace a new era of IT management with solutions that bring together robust security, streamlined processes, and an agile approach to digital transformation.

In this white paper, you'll discover:

• Data-driven insights from ESG’s new study of 380 midmarket and enterprise IT professionals.
• Practical strategies for addressing these four pressures quickly and effectively.
• How VergeOS, a unified data center operating system, uniquely simplifies infrastructure.

Forward Networks co-founder Nikhil Handigol explains how organisations can harness agentic AI in networking and security without jeopardising reliability.

What makes AI “agentic” – Unlike chatbots, agentic systems pursue goals, choose their own tools and act autonomously. Market researchers expect the segment to surge from US $5.1 billion in 2025 to more than US $47 billion by 2030, and Gartner predicts that one-third of enterprise software will embed such capabilities by 2028. 

Upside for networks – Agents can:
remediate newly disclosed vulnerabilities or block malicious traffic,
resolve connectivity issues and reroute flows around failures,
analyse patterns to predict and prevent impending outages.
 
These abilities promise dramatic efficiency gains for short-staffed IT teams and better user experience.        
Risks to manage – Because an agent can act without human oversight, a mis-trained model or bad data could break compliance, introduce downtime or even cause physical harm. “Trust but verify” must therefore guide every deployment.

Build the data bedrock – 
Autonomy is only as sound as the data it relies on. Enterprises need a complete, accurate record of every device, configuration and packet path. A network digital twin—a mathematically precise, continuously updated software replica of the live environment—provides that single source of truth.
 
Digital twins as guardrails
Pre-change simulation: Before any AI-driven or manual change, test it exhaustively in the twin to catch policy violations, compliance breaks or connectivity loss.

Continuous verification: Twin-based rules monitor live behaviour and alert operators to drift or emergent problems. With this safety layer, CIOs can accelerate agentic AI adoption while preserving control.

Bottom line – Agentic AI’s promise in networking is real, but benefits accrue only if robust data pipelines and digital-twin guardrails are in place. When those prerequisites are met, AI agents can handle routine operations and incident response, freeing humans for higher-value work and increasing organisational resilience.