AI & Cyber
Accelerate AI adoption. We secure the rest.
Artificial intelligence has become the leading driver of organizational competitiveness — productivity gains, new business use cases, competitive advantage. But this same AI opens up a new attack surface, one still poorly understood by most executive leadership teams. Autonomous agents, language models, and consumer-grade tools used without validation: risks are multiplying faster than the controls meant to contain them. Securing AI is no longer a technical option left to the IT department — it is a strategic decision that affects customer trust, regulators, and shareholders. Aimpact Cyber supports executive leadership, CIOs, and CISOs in managing these risks, so AI adoption can move forward with confidence.
Why Act Now?
01
78%
Many employees using AI at work rely on their own tools, outside any framework validated by their company (“Bring Your Own AI”).
Microsoft & LinkedIn, Work Trend Index 2024–2025
Microsoft & LinkedIn, Work Trend Index 2024–2025
02
+$670,000
Average additional cost of a data breach when “Shadow AI” is a contributing factor — identified in 20% of the incidents analyzed.
IBM, Cost of a Data Breach Report 2025
IBM, Cost of a Data Breach Report 2025
03
97%
Many organizations that suffered an AI-related security incident did not have access controls suited to their AI systems.
IBM, Cost of a Data Breach Report 2025
IBM, Cost of a Data Breach Report 2025
04
Aug 2, 2026
General application date of the EU Regulation on artificial intelligence: obligations for high-risk systems become legally enforceable.
Regulation (EU) 2024/1689, known as the “AI Act”
Regulation (EU) 2024/1689, known as the “AI Act”
The Key Challenges
Shadow AI
ChatGPT, Copilot, Gemini, Claude: these tools are used daily by employees, often without validation or oversight from IT or the security team. Exposed confidential data, lack of traceability, vendor contracts never reviewed — Shadow AI leaves the company vulnerable to data leaks and a loss of control over its information assets.
Securing AI Projects
AI agents, RAG architectures, large language models, Model Context Protocol (MCP), APIs: as AI projects move into production, points of exposure multiply. Attacks evolve as fast as the technology itself, prompt injection being a prime example — now ranked by OWASP as the top risk for applications built on language models.
Governance & Compliance
AI Act, NIS2, DORA, GDPR, ISO 42001, NIST AI RMF: the regulatory framework applicable to artificial intelligence is expanding rapidly. Legal, security, and IT teams must reconcile multiple overlapping standards. Structured AI governance is becoming a prerequisite for adoption that is both controlled and demonstrable to regulators.
Our Methodology
1. See
We map all AI usage across the organization, both declared and undeclared. This discovery phase reveals the true scale of Shadow AI, identifies projects already underway, and assesses the company’s overall exposure — a shared, factual foundation for executive leadership, IT, and the security team.
We map all AI usage across the organization, both declared and undeclared. This discovery phase reveals the true scale of Shadow AI, identifies projects already underway, and assesses the company’s overall exposure — a shared, factual foundation for executive leadership, IT, and the security team.
2. Frame
Together with senior leadership, we define a clear AI governance policy: roles, responsibilities, approved use cases, and acceptable risk levels. This framework aligns business ambitions with regulatory requirements (AI Act, GDPR, ISO 42001) without slowing down innovation.
Together with senior leadership, we define a clear AI governance policy: roles, responsibilities, approved use cases, and acceptable risk levels. This framework aligns business ambitions with regulatory requirements (AI Act, GDPR, ISO 42001) without slowing down innovation.
3. Secure
We deploy technical and organizational controls suited to AI architectures: agents, RAG, LLMs, APIs, MCP. Access controls, encryption, data-flow monitoring: each project is secured according to its criticality level, consistent with the company’s existing frameworks.
We deploy technical and organizational controls suited to AI architectures: agents, RAG, LLMs, APIs, MCP. Access controls, encryption, data-flow monitoring: each project is secured according to its criticality level, consistent with the company’s existing frameworks.
4. Test
We test how systems actually hold up against AI-specific attacks: prompt injection, model manipulation, exfiltration via autonomous agents. Our Red Team exercises and AI penetration tests uncover vulnerabilities before an attacker can exploit them.
We test how systems actually hold up against AI-specific attacks: prompt injection, model manipulation, exfiltration via autonomous agents. Our Red Team exercises and AI penetration tests uncover vulnerabilities before an attacker can exploit them.
5. Build Culture
We train executives, business teams, and technical teams in responsible, secure AI use, tailored to each audience — turning security into a collective reflex and embedding AI adoption durably into the organization’s culture.
We train executives, business teams, and technical teams in responsible, secure AI use, tailored to each audience — turning security into a collective reflex and embedding AI adoption durably into the organization’s culture.
Why Aimpact Cyber
We are not a solutions vendor or a license reseller. Aimpact Cyber is a consulting firm that informs strategic decisions related to artificial intelligence. Our added value lies in our ability to bring executive leadership, the executive committee, IT, the security team, legal, and business units into a shared conversation, built around a common language.
We help leaders accelerate AI adoption without creating new risks, combining the analytical rigor of a strategy consulting firm with the technical expertise of a cybersecurity firm.
We help leaders accelerate AI adoption without creating new risks, combining the analytical rigor of a strategy consulting firm with the technical expertise of a cybersecurity firm.
Our Expertise
- Shadow AI
- AI Pentest
- AI Agents
- NIS2
- Risk Assessment
- AI Governance
- Prompt Injection
- MCP Security
- DORA
- AI Security
- LLM Security
- ISO 42001
- Cloud Security
- AI Red Team
- RAG Security
- AI Act
- AI Architecture
Sources
Microsoft & LinkedIn, Work Trend Index 2024–2025: “AI at Work Is Here. Now Comes the Hard Part” and “2024 Work Trend Index Annual Report.”
IBM, Cost of a Data Breach Report 2025.
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (the “AI Act”).
OWASP Top 10 for LLM Applications 2025, OWASP Gen AI Security Project.
NIST AI Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology.
ENISA, the European Union Agency for Cybersecurity, Multilayer Framework for Good Cybersecurity Practices for AI.
ISO/IEC 42001:2023, Artificial Intelligence Management System.
Directive (EU) 2022/2555 of 14 December 2022 on measures for a high common level of cybersecurity across the Union (NIS2).
Regulation (EU) 2022/2554 of 14 December 2022 on digital operational resilience for the financial sector (DORA).
Regulation (EU) 2016/679 of 27 April 2016 on the protection of natural persons with regard to the processing of personal data (GDPR).
Aimpact SAS, a simplified joint-stock company (SAS) with variable share capital, registered with the Paris Trade and Companies Register (RCS) under SIREN number 884 918 319, registered office at 1 rue Denis Poisson, 75017 Paris, France.
IBM, Cost of a Data Breach Report 2025.
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (the “AI Act”).
OWASP Top 10 for LLM Applications 2025, OWASP Gen AI Security Project.
NIST AI Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology.
ENISA, the European Union Agency for Cybersecurity, Multilayer Framework for Good Cybersecurity Practices for AI.
ISO/IEC 42001:2023, Artificial Intelligence Management System.
Directive (EU) 2022/2555 of 14 December 2022 on measures for a high common level of cybersecurity across the Union (NIS2).
Regulation (EU) 2022/2554 of 14 December 2022 on digital operational resilience for the financial sector (DORA).
Regulation (EU) 2016/679 of 27 April 2016 on the protection of natural persons with regard to the processing of personal data (GDPR).
Aimpact SAS, a simplified joint-stock company (SAS) with variable share capital, registered with the Paris Trade and Companies Register (RCS) under SIREN number 884 918 319, registered office at 1 rue Denis Poisson, 75017 Paris, France.
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