The Hidden Risks in AI and Why Quantum Matters
Attacks on AI are the hardest to detect because they exploit subtle weaknesses in the model’s decision-making processes.
Consequently, today’s monitoring tools that track model behavior fall short, as they struggle to effectively detect hidden threats within the model’s logic.
However, quantum computing’s inherent ability to process complex patterns and relationships makes quantum-enhanced threat detection crucial for uncovering hidden threats that would otherwise go unnoticed by traditional tools that monitor AI models.
As a result, this will introduce new types of adversarial attacks on AI models
These attacks will exploit quantum algorithms to craft more sophisticated and efficient adversarial inputs, thus bypassing traditional defenses.
“Our system is built to adapt, so as quantum computers become more powerful, Quantum Falcon will evolve to defend against quantum-enabled adversaries. This includes working with post-quantum cryptography standards in addition to quantum-enhanced threat detection to ensure your AI models remain secure even in a quantum future.'”
Angel Cuenca
Founder/CEO