Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

India’s data protection landscape is changing. With the Digital Personal Data Protection Act bringing new compliance obligations to the fore, businesses across the country are being forced to think more...

The days when compliance was just a documentation exercise are long gone. Now, it’s a critical priority for a wide variety of organizations. But compliance is more of a result than a goal. The goal is achieving resilience. Cybersecurity and data protection regulations are rapidly evolving far beyond traditional compliance checklists. Global frameworks and regulations such as NIS 2, DORA, GDPR, HIPAA, SOX and NIST 2.0 are placing greater emphasis on operational resilience.

Many organizations invest heavily in backup solutions but still face a critical gap: the absence of a well-defined backup retention policy. Without a structured retention policy, backups may either be stored longer than necessary, driving up costs, or deleted prematurely, increasing compliance risks and limiting recovery options. In critical scenarios like ransomware attacks or system failures, organizations may find that their backups are incomplete, outdated, or unusable.

AI adoption in the DevOps field has been extensive. Developers use agents daily to broaden context, automate coding, prototype, etc., saving time and minimizing the footprint of mundane tasks. But it’s not all about gains. Agentic AI enables and introduces security threats that were unknown just a few years ago. With machine speed and scale, these can impact your corporate repos in a number of highly dangerous ways. The trend is on the rise, including at the level of popular DevOps platforms.

Author: Umair Ahmed, Product Marketing Manager, Security AI phishing, BEC and social engineering have made user behavior part of the attack path. Acronis Security Awareness Training helps MSPs reduce human risk at scale. Many client breaches do not begin with a dramatic failure.

In VMware environments, replication can be implemented using one of two modes for handling I/O changes: snapshots or journaling. Each approach has advantages and disadvantages. The key differences lie in how they manage data consistency, change tracking and recovery.

Data loss is no longer a rare event—it is an inevitability. From ransomware attacks to accidental deletions, organizations must be prepared not just to prevent incidents, but to recover from them quickly and reliably. Modern threats increasingly target backup environments, making recovery readiness a critical component of any data protection strategy.

Open-source virtualization is moving fast, and many IT teams are standardizing on KVM running the latest Linux distributions and Proxmox VE 9.1 to balance performance, flexibility, and cost.

AI is already incorporated into most of your clients’ workflows. Employees are using chatbots and other built-in GenAI tools to draft emails, analyze data and automate work. The challenge? Much of that activity is happening outside your formal security controls, and that creates a new risk layer. For managed service providers (MSPs), the question is no longer whether to secure AI adoption for their clients, but how to evaluate the right AI security solution.

Confluence is often used to store important knowledge inside an organization: runbooks, technical documentation, project plans, onboarding materials and incident notes along with internal procedures. When this data is deleted, overwritten, corrupted or simply unavailable, teams can lose the information needed to keep work processes moving forward.