As AI increasingly powers vital operations across industries, safeguarding AI workloads has become a top priority for CISOs facing a rapidly evolving threat landscape. Meanwhile, the looming quantum computing era threatens to break the very encryption methods protecting today’s data. The good news is that securing AI with advanced, quantum-proof encryption solutions — like Fully Homomorphic Encryption (FHE) — addresses both challenges simultaneously. By protecting sensitive AI data continuously, organizations can mitigate today’s growing AI security risks while laying a strong, future-proof foundation for the post-quantum world.
The National Institute of Standards and Technology (NIST) and other federal agencies are advancing post-quantum cryptography standards and encouraging initial migrations, putting added pressure on companies and government entities. However, AI adoption is exploding, and there are critical AI workloads – especially in defense, intelligence, and public infrastructure – that rely on today’s encryption standards, which are vulnerable to breaches. This is because current systems require “decrypt-to-use” models, which leave data exposed and create new attack surfaces.
True quantum-proof, AI-native security is where today’s urgency lies. Given where the quantum threat is today, as CISOs consider quantum-proofing their infrastructure, they should address the critical gap that grows daily as AI usage expands.
Continuous, end-to-end encryption helps CISOs address the AI security gap, making confidential AI a reality today while quantum-proofing for tomorrow.
Why Fully Homomorphic Encryption (FHE) is Quantum Proof
Today, FHE is quantum-proof because there is no known quantum algorithm that can solve the HARD problem of Learning with Errors (LWE) in a reasonable amount of time — although this may change. And unlike traditional encryption, FHE allows computations on encrypted data without decrypting it, keeping data protected even while in use.
This continuous encryption protects sensitive AI workflows and data processing pipelines against both today’s cyber threats and tomorrow’s quantum attacks.
While no encryption can claim absolute quantum-proof status, FHE is considered quantum resilient, meaning it is expected to withstand known quantum attack methods based on current research.
The Bottom Line for CISOs
Quantum computing is an emerging but serious threat to encryption security that demands strategic preparation today.
Protecting critical AI workloads with quantum-resistant encryption like FHE addresses immediate security risks and builds quantum resilience organically.
Integrating FHE and other PQC solutions enables organizations to mitigate the “harvest now, decrypt later” risk effectively, preserving data confidentiality well into the quantum future.
AI is the Urgent Data Security Challenge That Must Be Solved TODAY
As encryption experts, we find CISOs’ current focus on the quantum future paradoxical, given the serious data security gaps that enterprises continue to ignore – gaps they can fix immediately, which also help them prepare for the future. Existing encryption practices leave data in clear during processing and in transition between systems, allowing threat actors to access companies’ sensitive data, including when it’s input for training of and processing by AI.
Quantum computing will exacerbate this situation, but the threat is already real and growing rapidly, thanks to the widespread adoption of AI. By failing to adopt quantum-safe encryption today, companies expose themselves to many potential consequences, including regulatory breaches, financial penalties, and erosion of trust.
Below are just a few techniques used by nefarious actors, putting everyone’s personal information at risk.
- Retrospective Decryption (or Harvest Now, Decrypt Later): Bad actors can intercept and store encrypted government communications now and decrypt them once quantum capability matures. Everything from national security secrets to citizen data could be retroactively exposed. This quantum threat is why CISOs should urgently evaluate quantum-proof solutions like FHE, and why they must protect their AI models today. Data usage is increasing exponentially with AI adoption, and with that, so does the amount of data that will be harvested.
- AI DataTheft: Traditional encryption does not protect sensitive datasets used by AI in defense, health, and intelligence from theft, manipulation, or repurposing by bad actors. This can result in incorrect or harmful outputs that impact critical operations, customer-facing applications, and other systems. Enterprises are already facing this threat, and it’s likely also happening at the government level. This is a here-and-now problem, not a post-quantum world problem, and should be addressed with urgency.
- AI Model Poisoning: Similarly, AI models can be compromised and manipulated to alter their outputs, whether intentionally or unintentionally. Model integrity failures can cause operational, financial, and reputational damage, making leaders risk-averse and limiting the adoption of AI initiatives.
Protecting companies against these scenarios is what keeps CISOs awake at night – and DataKrypto is here to help. We offer quantum-proof encryption solutions that enable computation on encrypted data, protecting data inputs and AI models from malicious access and attacks.
The Solution: Continuous Encryption Enables Confidential AI and Computing
Powerful quantum computers are just around the corner, but AI is already here, and adoption is growing fast. As stated above, our current encryption methods are insufficient. This is not a new problem, but companies are now putting their valuable data to work like never before. Because of that, we need a fresh approach that boosts security now AND protects against the new challenges quantum computing will bring.
Below are a few steps that CISOs can take to protect against today’s threats while preparing for tomorrow’s post-quantum world.
- Make AI the First Line of Quantum-Ready Defense: While CISOs continue to reinforce security through zero trust, advanced IAM, and vigilant monitoring, the rapid adoption of AI demands even greater protection — especially since AI often handles the most sensitive and valuable organizational data. As AI systems analyze, generate, and automate more critical processes, they also become prime targets for sophisticated attacks, including those enabled by future quantum computers. That’s why the first place to deploy Fully Homomorphic Encryption (FHE) and other quantum-proof cryptography is at the heart of your AI infrastructure. Protecting AI pipelines with FHE ensures data, models, and outputs remain secure, even if adversaries eventually break traditional encryption. By integrating quantum-safe encryption into AI workflows now, organizations not only safeguard their most dynamic assets but also set a leading example for quantum-safe transformation across the enterprise.
- Focus on Continuous Encryption for AI: Every AI pipeline is a potential target. Continuous, end-to-end encryption—protecting data, models, and user inputs in-use, in-motion, and at rest—is now essential. Platforms like FHEnom for AI combine software-level FHE with hardware-based Trusted Execution Environments (TEEs) to layer security, dramatically lowering risk even when resources are constrained.
- Set a New Standard for Trust and Compliance: Similar to how SSL became a baseline for web security, FHE-powered solutions like FHEnom for AI should serve as the foundation for secure, AI-native enterprise and government infrastructure. This approach supports regulatory compliance while futureproofing against the emerging quantum threat landscape.
It’s understandable and prudent for CISOs to be concerned about the looming quantum threat, particularly the “harvest now, decrypt later” attacks. This silent, long-term risk demands a strategic response.
CISOs can effectively address this challenge by adopting FHE for AI today, securing their data against current AI-related threats and mitigating both current and future quantum risks, thereby turning a daunting future threat into a manageable present-day priority. This dual benefit ensures CISOs can protect against today’s accelerated AI risks while preparing strategically for the quantum leap ahead.