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AI Security Assessment
We check where and how your organization really uses AI — from approved platforms to Shadow AI. We map models, agents, integrations and data flows, then assess the attack surface all of this generates.
AI Security
Control over how your organization uses AI
We monitor and verify the use of artificial intelligence in organizations — from detecting Shadow AI, through AI Act and ISO/IEC 42001 compliance, to runtime protection of models, agents and prompts.
Scope 01
Six areas of AI security
From taking inventory of AI use, through AI Act compliance, to implementing control tools. We always start from what the organization already has — not from a product catalog.
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AI Compliance & Governance
We put the rules of AI use in order: acceptable use policies, roles and responsibilities, an AI system register and control mechanisms that can be demonstrated to an auditor and a regulator.
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AI Act Risk Assessment
We classify AI systems according to the risk categories of the EU AI Act regulation, identify the obligations assigned to each category and build a plan to reach compliance.
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Certification readiness
Market Standards Certification ReadinessWe lead the organization to certification against market standards — including ISO/IEC 42001 (AI management systems) and ISO/IEC 27001 — through gap analysis, documentation and a mock audit.
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Building organizational competence
AI Literacy & Capability BuildingWe train business and technical teams: how to use GenAI safely, how to recognize prompt injection and deepfakes, which data may be passed to a model and which never.
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Dedicated solutions
AI Security Solutions / ToolsWe select and implement specific AI control tools — from sovereign GenAI to runtime protection of prompts and models. The seven platforms we work with most often are described below.
Scope 02
Dedicated AI Security solutions
The platforms that actually control AI in an organization: a sovereign language model, attack surface visibility, runtime protection, DLP for prompts and telemetry with in-flight detection of sensitive data.
CloudFerro Sherlock
CloudFerro- What it is for
- A fully managed European generative AI service delivered in the cloud. It provides access to a carefully curated range of advanced language models (including Bielik, PLLuM, the LLaMA family and DeepSeek) through a unified API compatible with the OpenAI standard. The platform implements a strict Privacy-First approach from the ground up: zero storage of prompts and responses, no operational logs and an absolute ban on training models on customer data. All data is processed in the secure WAW3-2 region in Poland, confirmed by enterprise-class ISO/IEC 27001 and ISO/IEC 9001 certificates.
- Benefit for the client
- Supports full data sovereignty within the EU and compliance with GDPR, NIS2 and the EU AI Act regulation. The client receives a ready, highly secure environment for building conversational applications, document analysis systems or sovereign agents in a RAG architecture — without the cost of buying and maintaining complex computing infrastructure and without the risk of intellectual property leaking outside Poland.
Tenable One AI Exposure
Tenable- What it is for
- A tool integrated with the Tenable One exposure management platform that identifies, maps and continuously assesses the attack surface generated by the use of artificial intelligence in an organization. It supports leading business platforms — including OpenAI ChatGPT Enterprise, Microsoft Copilot, 365 Copilot and Copilot Studio — scanning and monitoring two main types of assets: users (accounts) and automated agents (AI Agents).
- Benefit for the client
- Makes it possible to identify Shadow AI (unauthorized AI applications) and detect vulnerabilities, misconfigurations, risky permissions and external integrations that traditional DLP and CASB tools miss. The client gains a clear context of AI risk against the other threats in the organization (IT, identity, cloud, OT), which enables active enforcement of AI acceptable use policies (AI AUP) and demonstration of compliance with AI Act and NIST CSF requirements.
CrowdStrike Falcon AI Detection & Response (AIDR)
CrowdStrike- What it is for
- The industry's first solution providing runtime protection and visibility for the entire AI attack surface — models, agents, data and prompts. It maps the relationships between users, prompts, models and cloud workloads. It detects and immediately blocks direct and indirect prompt injection attacks and attempts to bypass safeguards (jailbreak). It automatically masks or encrypts sensitive data — including credentials and regulated data — before it reaches the model, and records complete runtime events (prompts, responses, model versions) in secure logs. The developer module, Charlotte AI and the related infrastructure hold ISO/IEC 42001 certification for AI governance, obtained on 22 January 2026.
- Benefit for the client
- Supports blocking prompt attacks, protecting applications and business processes in real time. The client gains control over the flow of information and avoids leaking trade secrets and legally protected data into AI systems. Secure runtime logs provide evidence for regulatory compliance analysis and security monitoring.
Fortinet FortiAI
Fortinet- What it is for
- A unified ecosystem of artificial intelligence and machine learning capabilities built directly into the Fortinet Security Fabric architecture. It is responsible for protecting the AI ecosystem and automating defensive operations in real time, at machine speed. It consists of three modules: FortiAI-Protect — visibility, logging, risk scoring of AI applications and blocking of unauthorized prompts; it prevents data leaks from LLM models through advanced scanning and inline DLP rules, plus dedicated sandboxing for zero-day detection. FortiAI-Assist — a GenAI assistant that, in the SOC, automates alert triage, threat hunting, diagnostics and auto-remediation, and in the NOC handles Day 1 to Day N tasks (generating SD-WAN and VPN configurations, syntax verification, adaptive network performance optimization). FortiAI-SecureAI — runtime security for deployed LLM applications through the FortiAIGate gateway, which filters and sanitizes queries (input and output sanitization), protects against model tampering and DDoS attacks, and provides intelligent routing and GPU cost optimization.
- Benefit for the client
- Transforms the security architecture from reactive to proactive. It helps shorten incident response times, reduces alert fatigue and helps cope with the skills gap in IT/Security teams — enabling safe and structured adoption of GenAI technology in the organization.
Safetica
Safetica- What it is for
- An AI-based platform integrating data protection (DLP), insider risk management and regulatory compliance. For controlling GenAI systems it provides two modules with different characteristics. Safetica ONE (proactive blocking) automatically detects and flags the use of sites classified as GenAI tools and lets administrators immediately block access to more than 200 unauthorized GenAI platforms in a few clicks. Safetica 11 (cloud risk assessment) identifies interactions with GenAI tools as elevated-risk activities, categorizes them and visualizes them in the management console.
- Benefit for the client
- Protects against uncontrolled transfer of sensitive information — source code, databases, personal data — to external GenAI platforms. It allows the level of restriction to be adjusted flexibly: from completely blocking dangerous services (Safetica ONE) to detailed insight and behavioral monitoring of user activity in the cloud (Safetica 11) for further training programs.
Cribl
Cribl- What it is for
- An AI-powered telemetry platform for managing, routing, analyzing and optimizing logs, metrics and traces in real time. Cribl implements AI directly in telemetry data flows through three modules. Cribl Guard (Background Detection) runs locally — on-premise and in the cloud — using regex rules and a dedicated named entity recognition (NER) model to detect sensitive data (PII, PCI) directly in the stream, without sending data to external LLM services; for detection analysis it uses a separate, agentic LLM-based workflow that recommends auditable mitigation actions approved by the user. Cribl Stream filters, reduces volume, masks, anonymizes and dynamically routes telemetry data before it reaches public clouds, SIEM/SOC systems or analytical models. Cribl Copilot is a generative assistant for configuring data pipelines, creating transformations, optimizing parsing and building queries and dashboards in natural language.
- Benefit for the client
- Makes it possible to discover previously unknown sensitive data in traffic before it becomes a compliance or privacy risk. Helps lower SIEM/SOC licensing and storage costs by filtering out noise and redundant events while preserving the required data formats. Reduces the risk of vendor lock-in and shortens configuration rollout time, raising engineer productivity.
GRCORE365 — AI Act module
GRCORE365- What it is for
- A module of an integrated security management support platform that helps maintain compliance with the requirements of the AI Act regulation: keeping a register of AI systems, assigning obligations to risk categories and collecting compliance evidence in one place.
- Benefit for the client
- Allows AI Act requirements to be met within the same GRC platform in which the organization already runs ISO 27001, ISO 42001 or NIS2 — without building a separate register and a separate evidence process.
Every technology solution is selected individually — taking into account the existing architecture, threat analysis, the organization's maturity level, risk profile and the client's business goals. The full product list is in the Key vendors section, and the complete set of EDR/XDR/SIEM/PAM/DLP tools in the Security controls area.
We will match the solution to your architecture
Every implementation is designed individually — for your existing architecture, risk profile and business goals.