The 7 Sins of Data Privacy Management

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Monitor user access to data and enforce least privilege controls

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Discover shadow and cloud-native assets and accurately classify data

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Understand data lineage and secure real-time streaming data

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

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Transform raw, unstructured files into data ready for model training and tuning

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Protect AI interactions with intelligent retrieval, response, and prompt firewalls

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

Govern data for safe innovation

Data Discovery & Classification

Discover shadow and cloud-native assets and accurately classify data

Unstructured Data Governance

Manage unstructured data to enable safe use with generative AI

Data Access Governance

Monitor sensitive data access and prevent unauthorized use

AI Governance

Establish controls for safe adoption of AI technologies including GenAI

Data Catalog

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

Data Lineage

Automatically track changes and transformations of data throughout its lifecycle

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Conduct data quality checks and validation across various data types

Automate data privacy operations

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Manage your entire data mapping lifecycle and automate RoPA reports

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Comply with emerging AI regulations and ensure safe use of AI

Data Subject Request Automation

Automate entire DSR lifecycle from consumer request intake to secure report delivery

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Automate your entire assessment lifecycle and demonstrate compliance

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

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

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Seamlessly track and manage user consent with your mobile app, get compliant with all major global regulations.

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Data is often regarded as a harmless source of information that is readily available. That concept is not correct. Organizations' decisions based on data at hand may suffer if data is mishandled and not secured in the way mandated by law. Any form of data organizations use must meet data handling requirements as specified by local and international laws.

With several different data privacy regulations, many industries are subject to strict regulation. Moving to a cloud-based data model without taking into account the levels of risk organizations may face or measures to reduce risk and maintain compliance with evolving laws and regulations is a mistake many organizations make.

The area of data management known as data privacy deals with handling personal data following rules, legislation, and general privacy best practices. With the help of data privacy management, organizations gain the ability to secure sensitive data and fix privacy breaches.

Data privacy is crucial because people need to feel confident that their personal information will be handled securely if they engage in online activity. Data privacy management procedures certify that organizations can be trusted with personal information.

It contains optimal procedures for identifying, securing, and controlling data in multi-cloud situations, honoring consumer rights, minimizing hazards for vendors who handle private information, and approaches to adopt privacy by design.

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Top 7 Employer’s Privacy Obligations

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8 Privacy Tips for a Successful Marketer

Explore 8 privacy tips by Securiti experts for ethically collecting personal data in marketing.

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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Securiti, Inc.
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Products
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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

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

View

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

View

Mobile App Consent Management
Seamlessly track and manage user consent with your mobile app, get compliant with all major global regulations.

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
Solutions
Back
GCP
View

AWS
View

Databricks
View

Snowflake
View

Azure
View

+ More
View
CDMC
View

EU AI Act
View

OWASP
Mitigate AI Security Risks with the Broadest Coverage of OWASP Top 10 for LLMs

View

NIST AI RMF
View

European Union GDPR
View

California's CPRA
View

Brazil's LGPD
View

Canada's PIPEDA
View

China's PIPL
View

+ More
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Data Security
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Data Privacy
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Data Governance
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