In AI Security we protect the attack surface that generative AI opens up: agents that fail, employees who leak without knowing it, third parties you do not audit. We evaluate, watch continuously and design architectures that do not depend on trust, but on technical control.
Some of the services within this area of action:
Pentesting for prompt injection, jailbreaks and data leaks in chatbots and agents in production. Includes Red Team as an advanced modality: controlled attack simulation for high-risk systems or systems exposed to external users. Delivered as a one-off or periodic evaluation, with a vulnerability report and a prioritized remediation plan.
For whom: Companies that already have a chatbot or AI agent in production and have never audited it.
The audit says how you are doing today. This watches that you stay that way tomorrow
Continuous surveillance of agents and models in production: real-time guardrails, anomaly detection and alerts on unexpected behavior. It complements the Security Audit (a point-in-time snapshot) with permanent visibility into the system's real day-to-day behavior. Provided as a recurring service.
For whom: Companies with AI already in production that need continuous guarantees, not just a one-off security review.
Analyzes which external AI models and tools the company (or its vendors) uses and with which security and compliance guarantees. The technology supply chain is also a risk surface, especially when third parties process sensitive data through AI the company does not directly control.
For whom: Companies in regulated sectors (healthcare, banking, public sector) that depend on external AI vendors and need to secure their technology supply chain.
Secure deployment patterns, including private on-prem LLMs, for organizations that cannot depend on shared public cloud AI infrastructure.
For whom: Regulated sectors (healthcare, banking, public sector) that cannot depend on public cloud AI.
Confidential AI: keep your information from leaving your company through AI
The policy and data classification layer that defines which information may or may not leave the company through generative AI tools: the foundation of a real confidential AI strategy, not just a written policy. The strategy is designed here; the technical control that enforces it day to day is Moviwa, our product for controlling and auditing AI usage.
For whom: Companies whose intellectual property (contracts, code, strategy) circulates daily through generative AI tools.
Discover Moviwa →The questions that come up most once AI is already in production and needs protecting. If yours is not here, write to us.
With a dedicated audit: prompt injection, jailbreak and data leak pentesting against the real system in production. It ships with a vulnerability report and a prioritised remediation plan, and supports Red Team as an advanced mode for high-risk systems or those exposed to external users.
An audit tells you where you stand today, not where you will stand tomorrow. That is what continuous monitoring is for: real-time guardrails, anomaly detection and alerts on unexpected behaviour, as a recurring service over systems already deployed.
Yes. We design secure deployment patterns, including a private on-prem LLM, for organisations that cannot depend on shared public-cloud AI infrastructure. It is the usual pattern in healthcare, banking and the public sector.
This is where the strategy is designed: which information may or may not leave the company through AI tools, and on what classification criteria. Moviwa is the technical control that enforces and audits that policy day to day. One defines the rules, the other applies them.
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