AI & Cyber

Protecting AI developed or acquired against cyber-attacks and leveraging AI to boost the performance of cyber teams.

With the explosion in data volumes and the prospect of productivity gains, companies are equipping themselves with technological solutions that increase the use of Artificial Intelligence. The challenge for companies is to deploy AI with confidence, responsibility and security (Responsible AI). The policies in place within organizations must now take AI and its specific features into account, in order to adapt to the new underlying risks.

The deployment of AI systems within organizations represents a real technological, organizational and regulatory revolution, and raises a number of questions which companies need to answer in a structured way, including the Security authority, as they could put the company at risk. Adopting a secure AI approach equips companies with a complete line of defense against threats to their systems.

HeadMind Partners is recognized for its mastery of AI systems applied to business challenges and their applied security, in the cloud or “on premises” with adapted environments (Nvidia GPUs or IS with reinforced protection at the Restricted Diffusion level). The group has perfected a controlled training method for putting trusted generative models (LLMs) into production, on business verticals. It has also developed its own AI specialized in cybersecurity for major corporations: MindHead.Cyber.

Our offers

  • Defining AI strategy: cyber for AI and AI for cyber,
  • Definition of governance and the Target Operating Model (TOM) with the Heads of IA, Data, Cloud, IT, Digital, Innovation, Legal, Purchasing, Risk and Security,
  • Identification of priority use cases, training of AI models and industrialization,
  • Formalization of AI cybersecurity policy and security requirements matrix for AI projects (AI Act, AI RMF),
  • Definition of the AI exploitation roadmap, including the industrialization (methods and tools) of AI security (MLSecOps) for the benefit of operational performance,
  • Helping teams to become acculturated to AI and sharing best practices in AI project security,
  • Deployment of trusted AI (LLM, Vision, Explicability),
  • AI performance audit, including safety

Our completed missions

BANK / INSURANCE

One of the market leaders in AI deployment

  • Definition of AI strategy for cybersecurity & development of 3-year roadmap
  • Transposition of security rules to AI in compliance with regulatory obligations

DEFENSE

Industrials with very high reliability requirements, in the AI industrialization phase

Development of generative AI solutions applied to certification issues

LUXURY

Companies with highly decentralized AI initiatives

  • Building cybersecurity policy in a context of increased use of AI
  • Implementation of control procedures including AI partners and suppliers

ENERGY

Organization well advanced in the industrialization of its AI models

  • Deployment and industrialization of cybersecurity in AI products,
  • Training and qualification of data scientists/engineers,
  • AI vulnerability assessment

Bénéfices Clients

  • Identify high-performance use cases to ensure “profitability” and possible industrialization
  • Promote the appropriation of AI by teams and train them in the associated risks
  • Ensure that AI systems implemented within the company comply with current and future regulations
  • Facilitate cybersecurity teams’ access to relevant AI technologies, benefiting from proven experience
  • Optimize the capabilities of cybersecurity teams by automating low value-added tasks
  • Reduce processing time for false positives and detect cybersecurity weak signals
  • Have cyber referents integrated into data science projects to implement AI security measures

HeadMind.Labs

  • +200 cyber consultants trained in standard Machine Learning algorithms
  • +50 leading-edge AI engineers, PhDs or graduates of top engineering schools/universities

HeadMind.Certifications

  • The leader in AI and Cyber expertise in France
  • High capacity for immediate mobilization
  • Knowledge of corporate security issues
  • Involvement in AI regulation and standardization
  • Increased team performance
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