Security & Compliance

GDPR compliance includes encryption, access controls, data minimization, right to erasure, audit logging, and Data Processing Agreements. VIDIZMO acts as Processor while the customer is Controller under the GDPR framework. Compliance.

ISO/IEC 27001:2022 certification (Certificate #RA-2507091) was issued July 9, 2025 by Risk Associates Europe Ltd, London. It expires July 8, 2028 and covers management of information security for all VIDIZMO service lines. Security.

FedRAMP High compliance is achieved through ProjectHost's FedRAMP-authorized environment. This active authorization supports the highest security tier and is used for VA and other federal deployments. Compliance.

Anomaly detection in election monitoring uses artificial intelligence to automatically identify irregularities in processes such as voter behavior, access control, and voting patterns. It ensures real-time alerts for potential threats, boosting election transparency and fairness.

Audit-ready AI analyzes your data and returns answers you can trace, reproduce, and defend. Each answer carries the sources it used, a confidence score, the rule applied, and the reviewer who signed off, captured as the analysis runs. The result is an answer with its evidence attached, which is what a regulator or auditor asks to see.

Cloud-based video platforms rely on third-party servers for storage and streaming, while on-premises platforms allow law firms to manage and secure their own infrastructure. This gives firms greater control, improved security, and more predictable costs.

Video compliance ensures Zoom and Teams recordings meet legal, security, and retention standards. It ensures recordings are secure, properly stored, and admissible in court.

Enterprise AI governance is the set of policies, controls, and oversight an organization uses to manage how AI is selected, deployed, and used across the business. It defines approved tools, sets rules for where AI may and may not be used, requires audit trails for AI-assisted decisions, and assigns accountability to a named owner so AI adoption stays compliant and defensible.

It is software that reads financial documents and the recorded calls beside them, then answers questions across the whole set. It extracts and indexes the content, lets you ask in plain language, and ties each answer to its exact source for verification.

AI document review uses machine learning and natural language processing to read, classify and analyze large volumes of documents, then surface the parts that matter. It identifies key terms, entities, risks and inconsistencies across files in minutes rather than hours. The technology produces a first pass for a human reviewer, who validates findings and makes the final decisions.

AI apps streamline workflows by automating repetitive tasks like compliance checks and data verification. They reduce the need for physical site visits and minimize delays, enabling inspectors to focus on critical tasks.

On-premises deployment refers to hosting IT infrastructure and data management solutions within the agency’s facilities rather than relying on third-party cloud providers. This ensures direct control over security, access, and compliance.

CJIS compliance is supported on Azure Government Cloud deployments. VIDIZMO Digital Evidence Management System (DEMS), Redactor, and AI Live Insight are the primary products used in CJIS-compliant environments for law enforcement and public safety. Compliance.

Anomaly detection improves transparency by continuously analyzing data and instantly flagging suspicious activities. This ensures irregularities are quickly addressed and publicly auditable, fostering trust in the election process.

A why-trail is the evidentiary record behind an analyzed answer: the source documents and pages used, the passages drawn on, the confidence score, the rule applied, and the reviewer. Unlike a reasoning trace, which is the model narrating its own thinking, every part of a why-trail can be checked independently against the original source.

On-premises solutions allow law firms to store data within specific jurisdictions, helping them meet legal and regulatory standards like GDPR and HIPAA. This approach minimizes risk by ensuring sensitive client data remains under direct control.

It ensures legal recordings meet data protection, retention, and security regulations, reducing risks and ensuring recordings are available when needed for legal proceedings.

A common example is an employee pasting a confidential document, customer record, or call transcript into a public chatbot to summarize or rewrite it, without IT approval. The work gets done faster, but regulated data has now been processed on servers the organization does not control, with no log that it happened. IBM defines shadow AI as unsanctioned AI use without IT or security oversight.

It handles contracts, regulatory filings, statements, loan and underwriting files, and correspondence, plus recorded calls, earnings and investor calls, and meeting video. Scanned and image-based files are read through OCR and audio is transcribed, so mixed-format material becomes one searchable record.

Yes. AI can review contracts and legal documents by comparing clauses against standards, flagging nonstandard or missing language, and summarizing changes across versions. It works well for high-volume review such as due diligence or vendor agreements. A qualified professional still confirms interpretation, privilege and risk, because accountability for any legal position remains with the human reviewer.