Legacy Privacy Framework vs. Modern Privacy Framework

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The Legacy privacy framework, as its name implies, is an outdated privacy structure that needs to be updated to adhere to current data privacy laws and respect the rights of data subjects.

A modern privacy framework is a thorough set of procedures that safeguard private data and deal with the increasing number of privacy risks. A modern privacy framework should have a clear organizational structure and broad concepts that are simple to implement and globally applicable.

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Top 7 Employer’s Privacy Obligations

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8 Privacy Tips for a Successful Marketer

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The 7 Sins of Data Privacy Management

Find out why following data compliant practices from the experts is important, and learn how to begin protecting data privacy today.

At Securiti, our mission is to enable organizations to safely harness the incredible power of Data & AI.

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Secure Data+AI anywhere

Data Security Posture Management
Secure sensitive data everywhere from hybrid multicloud to SaaS

View

AI Security & Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Security for AI Copilots in SaaS
Unblock the biggest impediments for Safe Adoption of AI Copilots like Microsoft 365 Copilot

View

Data Access Intelligence & Governance
Monitor user access to data and enforce least privilege controls

View

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Compliance Management
Assess & improve compliance with security best practices frameworks

View

Breach Impact Analysis
Analyze breach impact & automate notifications to affected individuals

View

Data Flow Governance
Understand data lineage and secure real-time streaming data

View
Build safe enterprise AI systems

Safe Enterprise AI Copilots
Implement rule-aware AI copilots across your organization’s data anywhere

View

Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

View

Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

View

Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

View

Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

View
Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

View

Data Access Governance
Monitor sensitive data access and prevent unauthorized use

View

AI Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Data Catalog
Enable users to easily find, understand, trust and access the data they need

View

Data Lineage
Automatically track changes and transformations of data throughout its lifecycle

View

Data Quality
Conduct data quality checks and validation across various data types

View
Automate data privacy operations

Data Mapping Automation
Manage your entire data mapping lifecycle and automate RoPA reports

View

AI Governance
Comply with emerging AI regulations and ensure safe use of AI

View

Data Subject Request Automation
Automate entire DSR lifecycle from consumer request intake to secure report delivery

View

Assessment Automation
Automate your entire assessment lifecycle and demonstrate compliance

View

Consent Management
Manage your first-party and third-party consent lifecycle from scanning to reporting

View

Breach Management
Automate your incident management and optimize notifications to users & regulatory bodies

View

Privacy Center
Elegant Consumer Frontend, Fully Automated Backend, Privacy Regulation Intelligent Everywhere

View

Compliance Management
Use automation to audit and improve compliance with global regulations and industry standards

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Brazil's LGPD
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