Netskope Risk Exchange Ecosystem: Combating Shadow IT

Netskope offers a unique capability to deeply inspect network packets (post-decryption) and understand the interactions between users and the SaaS applications they use. This enables the application of granular policy controls to regulate specific actions, such as downloading, uploading, editing, posting, or creating content within any application. However, it’s essential to avoid imposing such restrictions on critical business applications like corporate email or OneDrive that employees rely on for their daily tasks.

Understanding Managed and Unmanaged Applications

While analyzing SaaS application traffic, Netskope identifies the unique instance ID of each application. This allows it to distinguish between personal and corporate accounts, even if they share the same URL. Netskope labels applications managed by your IT department as “Managed,” ensuring corporate accounts are securely monitored and controlled.

Why the Managed vs. Unmanaged Distinction Matters

In today’s cloud-first environment, employees use numerous applications to boost productivity. While this can improve efficiency, it also creates significant security challenges. Sensitive data becomes scattered across multiple apps, making it harder for IT teams to enforce security policies.

Managed Apps: These are officially approved and supported by IT, vetted for security, compliance, and reliability (e.g., Microsoft 365, Salesforce, Slack).

Unmanaged Apps (Shadow IT): These are apps employees use without IT approval, often posing security risks despite their good intentions.

How Netskope Addresses the Challenge

Netskope leverages the managed vs. unmanaged app classification to enhance security and control:

Visibility: Netskope provides a clear view of all cloud app usage, identifying both managed and unmanaged apps to eliminate blind spots and enhance data control.

Granular Control: Different policies can be applied to managed and unmanaged apps. For instance, managed apps might be accessible only from authorized devices, while unmanaged apps can be blocked or restricted.

Data Protection: Tailored data loss prevention (DLP) rules safeguard sensitive information, with stricter controls applied to unmanaged apps to prevent data leaks.

Threat Prevention: Netskope scans unmanaged apps for malware and other threats, protecting against potential attacks.

Compliance: By monitoring and managing unmanaged app usage, Netskope helps organizations meet regulatory requirements such as GDPR, HIPAA, and PCI DSS.

To Know More, Read Full Article @ https://ai-techpark.com/shadow-it-managed-apps/

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AI Revolution: Elevating Efficiency and Profitability in Professional Services

Picture a world where your professional services business operates like a well-oiled machine, effortlessly balancing resources, predicting project outcomes, and communicating with precision. This isn’t a far-off dream—it’s the reality that Artificial Intelligence (AI) is bringing to the professional services industry right now. As the lines between human expertise and technological capabilities blur, AI is emerging as the secret weapon for firms looking to surge ahead in a fiercely competitive market.

By leveraging AI-powered Professional Services Automation (PSA) software, firms can optimize resource allocation, enhance governance, and streamline communication processes. Let’s explore how AI can revolutionize three key areas of professional services operations.

Intelligent Resource Management

One of the most significant challenges faced by professional services firms is effective resource management. AI-powered solutions can provide unprecedented insights and automation in this critical area:

Optimizing Team Utilization

AI algorithms can analyze historical project data, current workloads, and upcoming commitments to balance the workload across team members. This ensures that no individual is overworked while maximizing overall team productivity. By continuously monitoring utilization rates, AI can alert managers when team members are approaching burnout or when there’s capacity for additional projects.

Forecasting and Capacity Planning

Predictive AI models can forecast resource requirements for upcoming projects based on past performance data and project characteristics. This allows firms to anticipate staffing needs, plan for hiring or training, and make informed decisions about taking on new projects. AI can also help identify potential resource conflicts well in advance, giving managers time to reallocate resources or adjust timelines.

Skill Matching and Project Staffing

AI can analyze the skill sets of available resources and match them with the requirements of incoming projects. This ensures that the right people with the right expertise are assigned to each project, improving project outcomes and client satisfaction. Additionally, AI can identify skill gaps within the organization and suggest upskilling opportunities to prepare teams for future high-stakes projects.

Profitability Analysis and Pricing Optimization

By analyzing PSA tool data, AI can uncover patterns in project profitability across different types of engagements, clients, or project phases. This insight allows firms to identify which areas of their business are most profitable and which may be losing money. AI can then suggest optimal pricing strategies for different types of projects or clients, helping firms maintain a healthy balance between competitive pricing and profitability.

To Know More, Read Full Article @ https://ai-techpark.com/revolutionizing-professional-services-with-ai/

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