Enterprises now rely on AI to approve loans, flag fraud, guide clinical decisions and run autonomous agents. Each of those models is a new attack surface. Attackers can poison training data, steal models, manipulate outputs with adversarial inputs, or hijack LLMs through prompt injection. Firewalls and endpoint tools were never built to catch these threats. That’s why AIShield was built as an AI security company first, to close that gap.
Authority
Simplicity
Resilience
Versatility
Responsibility
Bosch Research identifies emerging vulnerabilities in AI models and begins developing the first concepts around AI model protection. The idea for AIShield is born — to make AI systems secure, trustworthy, and future-proof.
The first AI attack simulation toolkit is developed to test model robustness. AIShield starts its journey as a research-driven project focused on adversarial defense and secure AI lifecycle management within Bosch.
Release of the Assessment Engine for AI vulnerability scanning and compliance — empowering data science teams to identify weaknesses in models before deployment. Wins the German Innovation Award for advancing AI safety in enterprise environments.
The guide uncovers the evolving landscape of AI Trust, Risk, and Security Management and offers invaluable insights to help you manage AI risks in your organization.
With growing global traction and a strong customer base, AIShield stands ready to scale beyond its roots. In December 2025, AIShield officially spins off from Bosch — emerging as an independent company dedicated to advancing the future of AI security, trust, and resilience.
