Two shifts are reshaping the security agenda. Organisations are adopting generative AI faster than they can govern it, which brings new risks such as prompt injection, data leaking through AI assistants and models acting on untrusted input. At the same time, they need to plan for future quantum computers able to break the public-key cryptography in use today: data intercepted now could be decrypted later, a risk known as 'harvest now, decrypt later'.
ZERYON helps you prepare without the hype. We assess how AI is used and built in your organisation and put proportionate controls in place; we inventory your cryptography and plan the move to the post-quantum algorithms standardised by NIST; and we give your board a clear view of emerging risks and the decisions they call for. Being ready for the future is not about predicting it, but about keeping your options open.
What's included
AI security assessment
Review of AI use cases, models, data flows and integrations, testing for the risks described in references such as the OWASP Top 10 for LLM Applications and MITRE ATLAS: prompt injection, sensitive data disclosure, excessive agency and unsafe handling of model output.
AI governance
Acceptable-use policies, an inventory of AI systems and risk management aligned with frameworks such as ISO/IEC 42001 and the NIST AI Risk Management Framework, plus support in understanding which EU AI Act obligations apply to you.
Post-quantum readiness
A cryptographic inventory of where and how you use encryption and signatures, prioritised by the sensitivity and lifespan of the data, and a migration roadmap to NIST's post-quantum standards (FIPS 203, 204 and 205).
Crypto-agility
Architecture and supplier recommendations so that algorithms and keys can be changed without rebuilding systems.
Board advisory and roadmaps
Strategic briefings, scenario exercises and multi-year security roadmaps that link emerging technology risks to business decisions.
How we work
Discover
We identify how AI and cryptography are used today, including inside third-party products and services.
Assess
We evaluate risks against your business context and the relevant frameworks, separating real exposure from hype.
Plan
We define a prioritised roadmap with quick wins, supplier dependencies and decision points for the board.
Accompany
We support implementation, test controls such as AI guardrails and revisit the roadmap as technology and regulation evolve.
What you get
Safer AI adoption
Clear rules and technical controls that let your teams use AI without exposing sensitive data.
A post-quantum migration plan
A cryptographic inventory and a roadmap that starts with the data that must stay protected the longest.
Informed leadership
A board that understands emerging risks and can decide with confidence.
Room to manoeuvre
Architectures and contracts that make future changes cheaper and faster.
Who it's for
- Organisations deploying generative AI assistants, chatbots or AI agents connected to internal data.
- Companies building products that include AI models.
- Entities holding data that must remain confidential for many years, such as financial, health, intellectual property or government information.
- Boards and management teams that want a forward-looking view of cyber risk.
- Technology leaders planning long-lived infrastructure.
Frequently asked questions
What is AI security?
AI security covers two things: protecting AI systems themselves, including models, data, prompts and integrations, from manipulation and leakage, and managing the risks of how AI is used across the organisation. It complements, rather than replaces, traditional application and data security.
What is prompt injection?
An attack in which instructions hidden in user input or in content the model reads, such as a web page, document or email, make an AI system ignore its rules, reveal data or take unintended actions. It matters most when AI assistants can reach internal data or tools.
What is post-quantum cryptography?
A family of cryptographic algorithms designed to resist attacks from both classical and future quantum computers. NIST has published the first post-quantum standards, FIPS 203 (ML-KEM), FIPS 204 (ML-DSA) and FIPS 205 (SLH-DSA), which will progressively replace or complement algorithms such as RSA and elliptic-curve cryptography.
Why prepare for post-quantum cryptography now?
Because migrating takes time and some data must stay confidential for many years. An attacker can capture encrypted data today and decrypt it once quantum computers are capable enough. Knowing where your cryptography lives and making systems crypto-agile is a sensible first step.
Does the EU AI Act affect my organisation?
It can, whether you develop AI systems or simply use them. Its obligations depend on the role you play and the risk level of each system, and they apply in phases. We help you map your use of AI against the regulation and prioritise what to address.