Cisco Enhances Secure App with Data and Cloud Security Tools

In an era where data breaches are increasingly caused by human factors like privilege misuse, Cisco has proactively enhanced its Secure Application within the Cisco Observability Platform. The new modules strategically incorporated into the offering are Data Security and Cloud Security. Both arrive not a moment too soon as the global cost of data breaches rockets to a staggering $4.45 million on average. Such financial implications highlight the urgency for comprehensive security solutions that Cisco aims to address.

Proactive Protection with Data Security

The essence of the Data Security module lies in its proactive stance on data protection. The employment of AI notches up the module’s capability to monitor data actively, classifying it in real time and pinpointing potential breaches before they occur. This preemptive measure is crucial in an environment where data sensitivity is at an all-time high and regulatory demands such as GDPR, HIPAA, and PCI DSS continue to evolve. By identifying data risks early, Cisco’s solution empowers organizations to mitigate risks efficiently, taking necessary actions before they lead to costly incidents.

Real-Time Insights with Cloud Security

To enhance application security, Cisco’s Cloud Security module presents a game-changer for real-time vulnerability detection in cloud-native apps. It grants businesses the observability they need to identify and fix the most critical threats, a stark improvement over legacy security models. This module affords a comprehensive view of an organization’s risk landscape, adjusting swiftly to cloud changes.

Cisco’s unified cybersecurity platform marks a significant pivot towards a more cohesive DevSecOps paradigm, simplifying security procedures while ensuring regulatory compliance and fortified protection against cyber threats. This development reflects an industry-wide move towards integrated, business impact-focused risk management systems, streamlining the defense against the dynamic nature of cyber risks.

Explore more

Resilience Becomes the New Velocity for DevOps in 2026

With extensive expertise in artificial intelligence, machine learning, and blockchain, Dominic Jainy has a unique perspective on the forces reshaping modern software delivery. As AI-driven development accelerates release cycles to unprecedented speeds, he argues that the industry is at a critical inflection point. The conversation has shifted from a singular focus on velocity to a more nuanced understanding of system

Can a Failed ERP Implementation Be Saved?

The ripple effect of a malfunctioning Enterprise Resource Planning system can bring a thriving organization to its knees, silently eroding operational efficiency, financial integrity, and employee morale. An ERP platform is meant to be the central nervous system of a business, unifying data and processes from finance to the supply chain. When it fails, the consequences are immediate and severe.

When Should You Upgrade to Business Central?

Introduction The operational rhythm of a growing business is often dictated by the efficiency of its core systems, yet many organizations find themselves tethered to outdated enterprise resource planning platforms that silently erode productivity and obscure critical insights. These legacy systems, once the backbone of operations, can become significant barriers to scalability, forcing teams into cycles of manual data entry,

Is Your ERP Ready for Secure, Actionable AI?

Today, we’re speaking with Dominic Jainy, an IT professional whose expertise lies at the intersection of artificial intelligence, machine learning, and enterprise systems. We’ll be exploring one of the most critical challenges facing modern businesses: securely and effectively connecting AI to the core of their operations, the ERP. Our conversation will focus on three key pillars for a successful integration:

Trend Analysis: Next-Generation ERP Automation

The long-standing relationship between users and their enterprise resource planning systems is being fundamentally rewritten, moving beyond passive data entry toward an active partnership with intelligent, autonomous agents. From digital assistants to these new autonomous entities, the nature of enterprise automation is undergoing a radical transformation. This analysis explores the leap from AI-powered suggestions to true, autonomous execution within ERP