Low-Code For Professional Developers

Low-code is a software development approach that enables developers to create applications with minimal hand coding. It's designed for both seasoned developers and business users, making app development more accessible, collaborative, and scalable.

Key Benefits of Low-Code

• Increased agility

• Maximized productivity

• Improved customer and employee experience

• Increased collaboration between business and IT teams

• Higher retention of developers

Low-code development platforms use visual tools, drag-and-drop functionality, and automation to create apps. This simplifies the development process and empowers developers to automate complex tasks quickly and efficiently.

Ditch IT Chaos: Master Remote Management with NinjaOne

NinjaOne RMM is a complete RMM solution designed to help MSPs and IT departments monitor, patch, and protect their clients' devices. It simplifies operations and increases technician efficiency by 95% with out-of-the-box automations that support complex, multi-step workflows.

Key Features and Benefits

• Real-time monitoring and alerting: Monitor devices in real time and automatically notify technicians when an issue arises.

• Automated patching: Automatically patch Windows, MacOS, and Linux operating systems and auto-update 200+ third-party applications.

• Secure remote access: Remotely access devices and systems for troubleshooting, software updates, and end-user support.

• Endpoint task automation: Automate repetitive endpoint tasks to standardize outcomes, free up technicians, and improve device stability.

• Mobile management: Manage endpoints on the go with NinjaOne's powerful mobile app.

• Self-service portal: Enable end users to resolve common issues on their own with a self-service portal.

• Native documentation: Centralize documentation to improve IT efficiency

• Warranty Tracking: Track hardware warranties.

Securing Your Hybrid Data Centers (webinar)

Understanding the Challenges

As organizations increasingly adopt hybrid data center models, the complexity of managing and securing these environments grows exponentially. Hybrid data centers, which combine on-premises infrastructure with cloud-based resources, offer numerous benefits, including scalability and flexibility. However, they also present unique security challenges that traditional security measures are ill-equipped to handle.

Key security considerations for hybrid data centers:

• Data Encryption: Ensuring that data is encrypted both in transit and at rest is crucial. This protects sensitive information from unauthorized access, regardless of where it resides within the hybrid environment.

• Configuration Monitoring and Auditing: Continuously monitoring and auditing the configuration of all cloud and on-premises resources is essential for maintaining a strong security posture. This helps identify and address any misconfigurations that could leave the environment vulnerable to attack.

• Zero Trust: Implementing a Zero Trust security model is highly recommended. In a Zero Trust framework, no user or device is automatically trusted, whether they are inside or outside the network perimeter. This approach helps to minimize the impact of breaches by limiting the lateral movement of attackers.

AI Surveillance: A New Threat to Privacy & Activism

In a recent episode of Power User, Taylor Lorenz interviews Jason Kebler from 404 Media about the concerning rise of AI-powered surveillance. They discuss the growing invasion of privacy as law enforcement agencies increasingly use AI to monitor and gather intelligence on citizens, including college protesters, immigrants, and political activists.

Key Takeaways:

• AI-Generated Social Media Profiles: Companies like Massive Blue are creating AI-driven social media profiles that interact with and collect data on targeted individuals. These profiles can engage in conversations on various platforms, including DMs and Discord.
• Trigger Words and Surveillance: Police departments provide "trigger words" to these AI systems, which then monitor social media for related hashtags or terms. This allows the AI to identify and engage with individuals of interest.
• Questionable Effectiveness: Despite the development of these tools, there's little evidence they've led to arrests.
• Potential for Abuse: There are concerns that this technology could be used to target individuals engaged in protected activities, such as college protests.
• Erosion of Anonymity: There's a growing push to remove anonymity online, which, combined with AI surveillance, could have a chilling effect on free speech and activism.
• Lack of Oversight: The rollout of these technologies often lacks adequate oversight, and legal challenges can take years to resolve.
• Social Media's Role: Social media platforms have largely stepped back from content moderation, making it difficult to identify and remove AI-generated accounts.
• The Chilling Effect: The potential for surveillance may deter people from participating in online discussions and organizing protests.

Check out the video below:

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