Thales has unveiled a range of cybersecurity solutions and partnerships addressing emerging threats linked to artificial intelligence, agentic AI and quantum computing at its Cyber Summit in Paris.
Held under the theme “HALFWAY IS NO WAY,” the Summit brings together cybersecurity experts and industry leaders to demonstrate technologies designed to protect applications, data and identities as organisations increasingly adopt AI and automated systems.
Thales highlighted the growing convergence between AI and cybersecurity, with AI accelerating both the sophistication of cyberattacks and the speed at which organisations need to detect and respond to threats. The company demonstrated technologies spanning deepfake detection, governed AI agents, AI-powered data security and protection against AI-enabled attacks.
As part of the Summit, Thales announced five major cybersecurity developments. These include Luna 8, a hardware security module designed to protect critical data against emerging quantum computing threats through post-quantum cryptography.
The company also launched CipherTrust Data Security Posture Management (DSPM), an AI-enhanced solution designed to identify sensitive data and provide automated mitigation capabilities.
Thales introduced Sentinel Envelope+, which is designed to protect software against emerging AI-powered attacks. The company also announced a new partnership with Google Cloud focused on securing agentic AI operations through Thales’ AI Security Fabric. The approach is intended to protect AI agents, data and interactions across the AI lifecycle.
In addition, Thales unveiled a new global cybersecurity approach aimed at addressing AI-driven threats through advanced technologies, real-time threat intelligence and cyber expertise, with an emphasis on anticipating, detecting and responding to increasingly automated attacks at machine speed.
The developments reflect the growing need for organisations to secure AI systems alongside conventional IT infrastructure, particularly as autonomous AI agents increasingly interact with enterprise data, applications and workflows. For enterprises deploying AI at scale, security is therefore becoming an integral part of AI governance and operational deployment rather than a separate layer added after implementation.
