Cyberattacks and ransomware target backup data in 93% of incidents. Despite being primary targets for ransomware and data exfiltration, existing Zero Trust frameworks often overlook the security of data backup and recovery systems. Zero Trust Data Resilience (ZTDR) is an innovative model that extends Zero Trust principles to data backup and recovery. Developed through a collaboration between Numberline Security and Veeam, ZTDR builds on the Cybersecurity and Infrastructure Security Agency's (CISA) Zero Trust Maturity Model (ZTMM). This framework provides a practical guide for IT and security teams to improve data protection, reduce security risk, and enhance an organization's cyber resilience. The primary principles of ZTDR include:
The white paper "Zero Trust and Enterprise Data Backup" details these principles and offers practical steps for implementation. What You'll Learn:
Download the white paper and start your journey towards Zero Trust Data Resilience.
A defense contractor with whom Coretek has had a long-standing relationship spanning nearly two decades had attempted to migrate to a virtual desktop infrastructure (VDI) environment twice with another technology services provider without success. Impressed by Coretek’s success with VDI implementations in healthcare and other industries, the defense contractor turned to the solution provider for help.
Coretek's VDI offering has evolved significantly over the years to better support today's power users. Due to its industry leadership, IGEL OS is currently the standard for new customer VDI rollouts at Coretek. One of the things that the Coretek team appreciates most about IGEL OS is its high level of configurability, as well as IGEL’s commitment to staying current with trends in the EUC space by aligning IGEL OS with a broad ecosystem of leading vendors, including those providing unified communications and collaboration (UCC) applications and tools. In this particular case, IGEL OS, in combination with new Dell endpoint hardware, enabled Coretek to restore performance following a significant shift in the customer’s usage of its UCC tools.
The customer is currently utilizing high-performance VDI desktops, leveraging IGEL OS at the endpoint, to design defense equipment and support connectivity and collaboration through video conferencing. IGEL’s Preventative Security Model™ supports Zero Trust security approaches and partners with leading Secure Access Service Edge (SASE) vendors to complement and reinforce these solutions from a security standpoint.
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:
Why Choose CyberSense? Trust that you will have best possible recovery in the wake of a cyberattack.
Making the right investment in cybersecurity is crucial to understanding the balance between smarter spending and smarter recovery.
You will learn:
The "Top 7 Trends in Endpoint Security for 2023" report provides valuable insights into the evolving landscape of endpoint protection. It emphasizes the increasing importance of Zero Trust Architecture (ZTA), which operates on the principle that no user or device should be inherently trusted, thereby enhancing security through strict access controls and continuous monitoring.
The report also highlights the shift towards cloud-native endpoint security, offering scalability and real-time protection, especially vital with the rise of remote work. Additionally, the adoption of thin-managed operating systems is discussed, noting their role in reducing attack surfaces by securely connecting to cloud-based resources.
The integration of Extended Detection and Response (XDR) platforms is presented as a means to streamline security operations by consolidating data from various sources. Furthermore, the report underscores the significance of a human-centric approach to security, advocating for comprehensive employee training and fostering a culture of security awareness.
Advancements in Endpoint Detection and Response (EDR) solutions are also covered, highlighting features like proactive threat hunting and automated responses. Lastly, the report discusses the role of security orchestration and automation in improving incident response times and operational efficiency.
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 guardrailsPre-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.