Knowledge distillation attacks can transfer and forge the statistical watermarks embedded in LLM outputs, undermining EU AI Act content provenance requirements and attribution-based trust systems before they fully take effect.
Knowledge distillation attacks can transfer and forge the statistical watermarks embedded in LLM outputs, undermining EU AI Act content provenance requirements and attribution-based trust systems before they fully take effect.
Anthropic has deployed machine-readable watermarks in all Claude outputs globally as of August 2, 2026, implementing two marking methods to satisfy EU AI Act Article 50(2) transparency requirements — right as the enforcement window opens.
Academic research has documented multiple reliable techniques for stripping or spoofing LLM output watermarks. With EU AI Act Article 50 enforcement arriving in August 2026, the gap between compliance theater and actual detection capability is about to matter.
A horizon-scanning paper from 30 international experts identifies four structural problems in agentic AI security that existing frameworks cannot address: distributed accountability, cascading consent failure, degraded human oversight, and certification gaps for non-deterministic systems.
On August 2, 2026, the European Commission's enforcement powers over general-purpose AI model providers under Chapter V of the EU AI Act become fully active. Systemic-risk GPAI providers face mandatory cybersecurity frameworks, adversarial testing obligations, and fines up to €15M or 3% of global revenue.
The European AI Office has issued its first formal enforcement notices under the EU AI Act. What security and compliance teams need to know about prohibited AI and high-risk systems.