LLM application security audit
Direct and indirect prompt injection, data exfiltration, guardrail bypass, context leakage. Architecture review and concrete adversarial testing.
Prompt injectionExfiltrationGuardrails
Secure session
File — Organisations
For organisations
You're deploying AI. You hold sensitive data. You have a decade of cryptography to age correctly
For SMEs, mid-sized organisations and regulated entities that take risks seriously while most still ignore them. We work where expertise is scarce and where mistakes are costly.
Specialty in development
AI security
An AI system in production is not an application like any other. Its attack surface includes its natural-language inputs, its tools, its memory and its model supply chain. We evaluate it the way an adversary would.
In development
A specialty under construction. Our methods draw on the state of the art (OWASP LLM Top 10, MITRE ATLAS); we scope every engagement precisely and say so clearly when a test falls outside our current perimeter.
Attack surfaceAI · LLM / AGENT
Where an AI system is attacked
Five surfaces, evaluated the way an adversary would — not just the model, but everything around it.
AI agent security assessment
Agents with tools, access and autonomy. We assess tool misuse, privilege escalation, unintended actions and the blast radius of a hijack.
Tool useEscalationBlast radius
AI red teaming
A structured offensive campaign against your AI system and its environment, up to realistic business scenarios — not just lab cases.
Business scenariosRealistic adversaryActionable report
EU AI Act security reading
Mapping your systems to the AI Act's risk levels, identifying applicable obligations and a compliance plan — the security angle, not just the legal one.
Risk classificationObligationsCompliance plan
AI supply-chain security
Third-party models, datasets, dependencies, downloaded weights. We assess poisoning, backdoor and unverified-provenance risks.
Model provenancePoisoningDependencies
Specialty in development
Cryptographic resilience
Encrypted data captured today can be decrypted tomorrow. Post-quantum migration is not a "later" project: for long-life secrets, the clock is already ticking.
In development
A specialty backed by a published method (see Research) and NIST standards (ML-KEM, ML-DSA, SLH-DSA).
Mosca's theoremX + Y > Z
Why the clock is already ticking
Migration time (Y) plus required secrecy (X), beyond the quantum horizon (Z), opens an exposure window.
Reading: migration (4 yrs) + required secrecy (10 yrs) = 14 years, 2 years beyond the quantum horizon (12). Those 2 years are already exposed to "harvest now, decrypt later". A cryptographic inventory is how you measure X, Y and Z on your own systems.
"Harvest now, decrypt later" threat modelling
Which data will still matter in ten years? Which data travels today under cryptography that won't hold? We establish your real exposure to the quantum risk.
Secret lifetimeMosca's theoremPrioritisation
Cryptographic inventory
You can't migrate what you don't know you have. A four-pass mapping of the algorithms, keys, protocols and certificates in use across your organisation.
DiscoveryInventoryCrypto-agility
Post-quantum roadmap
A migration plan toward standardised algorithms (ML-KEM, ML-DSA), sequenced by risk priority, compatible with your operational constraints and built for crypto-agility.
NIST standardsMilestonesProgressive migration
Investigation & audit
Digital investigation and cryptographic quality
Corporate investigation & OSINT
Open-source research within a legal, documented framework: due diligence, information leaks, brand abuse, incident investigation, building admissible evidence files.
Due diligenceData leaksEvidence file
Entropy & RNG quality audit
For sectors where randomness is critical — gaming, lottery, finance, cryptographic applications. Statistical evaluation of random-number generators and their resistance to bias.
Statistical testsBiasCompliance
Let's scope your need
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