In an era where digital acceleration is the new norm, the intricate tapestry of future technology continuously unravel, serving as a prominent platform for groundbreaking innovation and cybersecurity strategies. This 23rd chapter of our in-depth technology series seeks a fresh perspective, examining novel tech tools and the ever-evolving landscape of cybersecurity, all with an unwavering focus on efficiency.

The expanse of technology is vast and ocean-like, marked with constant ebb and flow. One of the most thrilling waves gaining momentum is Quantum Computing. Consider advancing the speed and efficiency of today's technology by several generations—this is the potential of Quantum Computing. It leverages quantum bits, or 'qubits', replacing conventional bits for digital communication. Here, a qubit can concurrently exist as both '0' and '1' due to superposition, enhancing computational power exponentially. Imagine the profound impact on processing speed and efficiency - a tantalizing prospect that showcases future-tech at its finest.

Yet, the advent of Quantum Computing also reveals deep waters of cybersecurity challenges. Traditional encryption methodologies will crumble under quantum power, necessitating formidable Quantum Cryptography. This uses quantum entangled particles to secure information, an innovation that could offer the ultimate code; ostensibly unbreakable and resilient to cyber-attacks. Despite its infancy, Quantum Cryptography foreshadows a new era of cybersecurity, thrusting us further into the unknown planes of both opportunity and challenge.

In this digital labyrinth, AI-powered Security Automation emerges as another game-changer. Its unique potential lies in optimizing efficiency by reducing the burden of mundane, repetitive tasks, allowing security professionals to direct their skills towards strategy and innovation. Machine learning algorithms that detect anomaly patterns, automatic threat hunting tools, and autonomous response systems are just a fragment of this AI-powered evolution. While fundamentally transforming cybersecurity, these tools also carry their set of risks, especially bias in AI, which warrants cautious implementation and continuous iteration.

Data Privacy by Design, another emerging trend, restructures the infrastructure of data protection. This entails incorporating data privacy measures in the initial design phase of a product rather than as an afterthought. Not only does this approach significantly bolster data security, but it also streamlines processes by making data protection a fundamental part of the creation cycle, thereby enhancing overall efficiency.

In this journey of future-tech, we inevitably find ourselves oscillating between tremendous opportunities and ascending challenges. As we continue to unfurl this intricate fabric of technology, we must remain steadfast in our commitment to making informed, responsible choices. Harnessing the promise of quantum computing, unpacking the potential of AI-powered security automation, and integrating Data Privacy by Design principles not only shapes the landscape of technology but also determines how we navigate the future.

In the next chapter, we'll dive deeper into additional dimensions of future-tech, exploring the promise and potential pitfalls of Edge Computing, and the role of Blockchain in securing digital transactions. Stay with us as we continue unraveling the world of future-technology, opening windows to innovation and peering into the manifold faces of cybersecurity.