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Hardware security is driven by the fast-paced change of the technology stack. Cybersecurity professionals must evaluate their hardware security posture.
The House of Representatives has passed the Quantum Computing Cybersecurity Preparedness Act, which would help ensure data protection and strengthen national security.
As technology grows and advances, potential cyber threats grow with it. While this notion is nothing new, the current speed of innovation makes it more important than ever to consider the implications these developments will have on our cybersecurity capabilities — especially with cybercriminals becoming more sophisticated and more adept at using emerging blind spots to their advantage.
Nearly daily we see new stories of cybercriminals breaching security walls, stealing valuable data, and then holding it hostage in return for money. Companies risk exposing valued customer data as well as their own reputations, placing their credibility in disarray.
Quantum computing, the use of quantum phenomena such as superposition and entanglement to perform computation, is expected to impact many sectors, including healthcare, energy, finance, entertainment, and security.
Before this large-scale impact is achieved, several challenges need to be overcome, and security leaders should start preparing for this change, says Sergey Strakhov, Chief Technology Officer at IronCap. Here, we talk to Strakhov about the impact quantum computing will have on security and the potential risks it poses.
Despite many companies' best efforts to combat cybercrime, it persists and is increasingly costly. Here’s a look at some of the latest technologies that may be able to turn the tide against malicious hackers because they can still deliver performance and function at the necessary scale.
Currently, cryptographic algorithms are based on factorization. RSA and Elliptic Curve Cryptography (ECC) algorithms are difficult to solve using traditional binary computers because the computer is forced to work through an incomprehensibly long list of probabilities. A traditional binary computer solves that mathematical problem slowly, whereas a quantum computer with an efficient algorithm can solve that problem much more quickly. Maybe a million times faster!
