In this modern-day digital world, companies are under constant pressure to keep their networks secure. Traditionally, encryption systems were deeply built into applications and devices, making them hard to change or update. When a flaw was found, either in the encryption method itself or because hackers became smarter, fixing it took time, effort, and risk. Most companies chose to live with the risk because they didn’t have an easy way to fix the problem or even fully understand where it existed.
Now, with data moving across various platforms, for instance cloud servers, edge devices, and personal gadgets — it’s no longer practical to depend on rigid security setups. Businesses need flexible systems that can quickly respond to new threats, government rules, and technological changes.
According to the IBM X‑Force 2025 Threat Intelligence Index, nearly one-third (30 %) of all intrusions in 2024 began with valid account credential abuse, making identity theft a top pathway for attackers.
This is where policy-driven cryptography comes in.
What Is Policy-Driven Crypto Agility?
It means building systems where encryption tools and rules can be easily updated or swapped out based on pre-defined policies, rather than making changes manually in every application or device. Think of it like setting rules in a central dashboard: when updates are needed, the changes apply across the network with a few clicks.
This method helps businesses react quickly to new security threats without affecting ongoing services. It also supports easier compliance with laws like GDPR, HIPAA, or PCI DSS, as rules can be built directly into the system and leave behind an audit trail for review.
Why Is This Important Today?
Artificial intelligence is making cyber threats more powerful. AI tools can now scan massive amounts of encrypted data, detect patterns, and even speed up the process of cracking codes. At the same time, quantum computing; a new kind of computing still in development, may soon be able to break the encryption methods we rely on today.
If organizations start preparing now by using policy-based encryption systems, they’ll be better positioned to add future-proof encryption methods like post-quantum cryptography without having to rebuild everything from scratch.
How Can Organizations Start?
To make this work, businesses need a strong key management system: one that handles the creation, rotation, and deactivation of encryption keys. On top of that, there must be a smart control layer that reads the rules (policies) and makes changes across the network automatically.
Policies should reflect real needs, such as what kind of data is being protected, where it’s going, and what device is using it. Teams across IT, security, and compliance must work together to keep these rules updated. Developers and staff should also be trained to understand how the system works.
As more companies shift toward cloud-based networks and edge computing, policy-driven cryptography offers a smarter, faster, and safer way to manage security. It reduces the chance of human error, keeps up with fast-moving threats, and ensures compliance with strict data regulations.
In a time when hackers use AI and quantum computing is fast approaching, flexible and policy-based encryption may be the key to keeping tomorrow’s networks safe.
The immense computational power that quantum computing offers raises significant concerns, particularly around its potential to compromise private keys that secure digital interactions. Among the most pressing fears is its ability to break the private keys safeguarding cryptocurrency wallets.
While this threat is genuine, it is unlikely to materialize overnight. It is, however, crucial to examine the current state of quantum computing in terms of commercial capabilities and assess its potential to pose a real danger to cryptocurrency security.
Before delving into the risks, it’s essential to understand the basics of quantum computing. Unlike classical computers, which process information using bits (either 0 or 1), quantum computers rely on quantum bits, or qubits. Qubits leverage the principles of quantum mechanics to exist in multiple states simultaneously (0, 1, or both 0 and 1, thanks to the phenomenon of superposition).
One of the primary risks posed by quantum computing stems from Shor’s algorithm, which allows quantum computers to factor large integers exponentially faster than classical algorithms. The security of several cryptographic systems, including RSA, relies on the difficulty of factoring large composite numbers. For instance, RSA-2048, a widely used cryptographic key size, underpins the private keys used to sign and authorize cryptocurrency transactions.
Breaking RSA-2048 with today’s classical computers, even using massive clusters of processors, would take billions of years. To illustrate, a successful attempt to crack RSA-768 (a 768-bit number) in 2009 required years of effort and hundreds of clustered machines. The computational difficulty grows exponentially with key size, making RSA-2048 virtually unbreakable within any human timescale—at least for now.
Commercial quantum computing offerings, such as IBM Q System One, Google Sycamore, Rigetti Aspen-9, and AWS Braket, are available today for those with the resources to use them. However, the number of qubits these systems offer remains limited — typically only a few dozen. This is far from sufficient to break even moderately sized cryptographic keys within any realistic timeframe. Breaking RSA-2048 would require millions of years with current quantum systems.
Beyond insufficient qubit capacity, today’s quantum computers face challenges in qubit stability, error correction, and scalability. Additionally, their operation depends on extreme conditions. Qubits are highly sensitive to electromagnetic disturbances, necessitating cryogenic temperatures and advanced magnetic shielding for stability.
Unlike classical computing, quantum computing lacks a clear equivalent of Moore’s Law to predict how quickly its power will grow. Google’s Hartmut Neven proposed a “Neven’s Law” suggesting double-exponential growth in quantum computing power, but this model has yet to consistently hold up in practice beyond research and development milestones.
Hypothetically, achieving double-exponential growth to reach the approximately 20 million physical qubits needed to crack RSA-2048 could take another four years. However, this projection assumes breakthroughs in addressing error correction, qubit stability, and scalability—all formidable challenges in their own right.
While quantum computing poses a theoretical threat to cryptocurrency and other cryptographic systems, significant technical hurdles must be overcome before it becomes a tangible risk. Current commercial offerings remain far from capable of cracking RSA-2048 or similar key sizes. However, as research progresses, it is crucial for industries reliant on cryptographic security to explore quantum-resistant algorithms to stay ahead of potential threats.