Frequently Asked Questions
The most pressing cybersecurity threat today is the rise of sophisticated attacks that exploit the convergence of digital and physical systems, such as IoT and smart infrastructure vulnerabilities. Additionally, AI-driven social engineering, including deepfakes, has become a significant risk, enabling highly targeted and convincing cyberattacks.
The future of cybersecurity will be shaped by advancements in technologies such as quantum computing, AI, and robotics. These innovations introduce both opportunities and vulnerabilities, requiring organizations to adopt proactive strategies like quantum-resistant encryption, continuous monitoring, and robust access controls to safeguard critical systems.
The zero trust model enforces strict verification for all users and devices, both inside and outside an organization’s network. It minimizes implicit trust by requiring continuous authentication and access validation, reducing the risk of breaches caused by compromised credentials or insider threats.
AI is used in cybersecurity to enhance threat detection, automate responses, and identify anomalies in network behavior. It plays a crucial role in combating sophisticated attacks, such as detecting deepfake content or phishing attempts, and strengthens defenses by analyzing vast amounts of data in real-time.