Webinar: Simplifying Secure Remote Access for Remote Tech Workers
Tech organizations face the crucial task of securing privacy and maintaining data integrity without hindering their innovative capabilities. Achieving this balance is essential to protect sensitive information while enabling creativity and development. Implementing sophisticated security strategies is key to safeguarding data without impeding progress.
To manage the balance between security and innovation, many organizations are turning to advanced security frameworks. One such framework is Zero Trust Network Access (ZTNA), which operates on the principle that no one inside or outside the network can be trusted without verification. Another important framework is Security Service Edge (SSE), which focuses on protecting access to the internet and cloud services. Additionally, the Secure Access Service Edge (SASE) integrates networking and security functions, providing secure and efficient access to applications and data.
Adoption of these frameworks is becoming increasingly common. A significant portion of businesses view SASE strategy as crucial for secure and efficient network management. Many organizations plan to deploy SSE platforms as part of their SASE strategy, highlighting a strategic focus on securing access to cloud services. The trend towards enhanced security service integration is evident, with a substantial number of businesses aiming to adopt SSE platforms within the next 24 months. Nearly half of these organizations intend to start their SSE implementation with ZTNA, underscoring the importance of stringent access control measures.
Managing compliance requirements adds another layer of complexity. Compliance involves adhering to numerous regulations and standards to ensure data protection, minimize harm, use AI ethically, and commit to sustainability goals. Tech organizations are under increasing pressure to demonstrate robust data protection measures, securing personal information and preventing breaches that could lead to significant legal and financial repercussions.
The ethical use of AI is also a major concern. Ensuring that AI systems are transparent, fair, and unbiased is crucial to maintaining public trust and avoiding harmful consequences. In addition, tech organizations are expected to align with sustainability goals, reducing their environmental impact and contributing to broader societal objectives.
A significant regulatory change on the horizon is the EU’s AI Act, taking effect in 2024. This legislation adopts a risk-based approach to AI implementations, emphasizing the need for visibility into data quality, comprehensive technical documentation, human oversight to mitigate risks, and maintaining high standards of accuracy and robust cybersecurity measures.
Navigating these evolving compliance requirements is essential for tech organizations to operate legally and ethically while maintaining the trust of their customers and stakeholders. As regulations continue to evolve, organizations must adeptly manage the complex landscape to meet various standards and obligations, ensuring their operations remain secure and innovative.
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