The proposed U.S. federal law makes reporting of severe AI security incidents a legal requirement with a seven-day deadline and penalties up to $2 million per violation.
The “AI Incident Reporting Act” draft makes reporting of critical AI incidents a legal obligation instead of voluntary practice, with penalties of up to two million dollars.
Reduced technological diversity increases vulnerability to supply-chain attacks, while manual control processes in Germany cannot keep pace with the speed of modern AI-driven development.
The EU is creating a dedicated police cloud infrastructure and doubling Europol’s budget to three billion euros for 2028–2034 to accelerate police cooperation on cybercrime and terrorism.
Giotto.ai and KPS combine AI technology with SAP integration to offer enterprises AI infrastructure that can be operated without external cloud providers.
Employees unknowingly enter sensitive data into unauthorized AI services; traditional DLP solutions fail to capture these new data paths and require context-based risk analysis instead of blanket blocks.
With the expiration of the NIS2 implementation deadline, penalty provisions enter into force that impose multi-million euro fines for non-compliant companies.
Companies are liable for errors in their AI systems just as they are for errors by employees—a rule that prevents AI deployment from being misused to evade liability for erroneous outputs.
Companies operating AI systems are liable for their erroneous outputs just as they are for employee mistakes and cannot shield themselves through the technical nature of the system.
