AI Cybersecurity & Secure AI Integration

Secure, govern and integrate AI and GenAI across your organisation with confidence.

Cybersecurity
Cybersecurity services
AI security services

End-to-end AI cybersecurity and governance: secure AI adoption, manage AI risks, align with EU AI Act & ISO/IEC 42001, implement controls, monitor models and respond to AI incidents.

AI-specific cyber threats

Generative AI and LLMs introduce unique vulnerabilities that require dedicated protection mechanisms.

Training data poisoning

Malicious input corrupts models during training, leading to flawed, biased or backdoored outputs that can propagate at scale across enterprise AI use cases.
Prompt injection and jailbreaking

Hackers manipulate prompts to trick AI systems into bypassing safeguards, forcing them to generate harmful, unauthorised or restricted content, or to expose internal instructions and data.
Model theft and reverse engineering

Proprietary AI models can be stolen or reverse-engineered, exposing intellectual property and undermining competitive advantage, especially for fine-tuned or domain-specific models.
Sensitive data leakage

AI systems may unintentionally expose confidential or personal data through responses, creating data protection, privacy and regulatory compliance risks.
Malicious code generation

AI can generate insecure or dangerous code that, if integrated into development pipelines or production systems, may introduce vulnerabilities and operational risks.
AI-Enabled lateral movement

A compromised AI system can act as a gateway to broader enterprise environments, enabling attackers to move laterally across systems, identities and data.

End-to-end secure AI journey

Thales delivers a structured Secure AI Journey from strategy to operations. We secure any AI use case and model type (GenAI, LLMs, ML) by aligning governance, compliance and cybersecurity controls across the lifecycle. This includes alignment with international AI governance standards such as the EU AI Act and ISO/IEC 42001, covering risk management, transparency, human oversight and continuous improvement. Our cyber consulting teams work with CortAIx specialists and leading vendors to integrate the right technologies and monitoring.

Thales enables trusted AI at scale-secure, compliant and resilient by design. We don’t just adapt to AI evolution, we help shape it: CortAIx unites 800 specialists worldwide to accelerate trusted AI for defence, aerospace and critical infrastructure. With our cyber teams, organisations gain secure AI control, governance and operational integration end-to-end.

Secure AI Journey stages

Deploy an AI Security Policy (roles, responsibilities, lifecycle processes). Implement technical controls: code reviews, pentests, scanning/patching, adversarial robustness tests and architecture reviews. Establish continuous monitoring for performance, access, security events, drift and compliance with automated anomaly detection.

Define tailored incident response plans for AI‑specific threats such as model poisoning or inference attacks, with predefined playbooks, escalation paths and regular tabletop exercises. Integrate AI threat intelligence and anomaly detection into SOC operations for real‑time alerting and automated response. Develop advanced AI forensic capabilities, including audit logs, model versioning, root cause analysis and continuous improvement loops.