Is Microsoft Access considered general-purpose application software?

To prove the provenance of AI-generated documents in a legal context, watermarking must be implemented consistently across different suites and document formats. The strongest method combines invisible, embedded watermarks from the AI model itself with a robust, metadata-based provenance chain managed through a blockchain or secure database. 
The approach has two key components: Generative watermarking and a trusted content provenance system.

• 1. Generative watermarking

This embeds a subtle, imperceptible signal into the content as it is being created by the AI model. For legal purposes, this is more robust than a post-generation watermark that can be easily removed.

• 2. Trusted content provenance system

This method securely records metadata and proof of origin, independent of the content itself. The most robust implementations use blockchain technology to create an immutable and verifiable record.

The cleanest way to deploy passkeys across web and mobile apps without breaking Single Sign-On (SSO) is to integrate passkeys at the identity provider (IdP) level. This approach centralizes all passkey management and authentication logic, allowing your existing SSO infrastructure (based on SAML or OIDC) to function as normal.

• Step 1: Implement passkeys in your identity provider
• Step 2: Adapt your applications with standard protocols
• Step 3: Manage user enrollment and recovery

To capture ESIC compliance audit trails without storing excess Personally Identifiable Information (PII), you can use a combination of data minimization, anonymization, and robust access controls. The key is to log only the necessary compliance-related data and link it to a pseudonymous identifier, while keeping the sensitive PII separate and securely managed.

For a regional cable cut affecting Amazon Neptune, the primary protection comes from a multi-regional disaster recovery strategy, specifically Amazon Neptune Global Database combined with Amazon Route 53 for intelligent DNS failover. This multi-layered approach ensures your graph database and the workloads that rely on it can recover quickly and automatically.

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