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Description
Utilize Oracle Advanced Security to encrypt application tablespaces, thereby safeguarding sensitive data from unauthorized access. Implementing redaction policies helps curb the spread of sensitive information and enhances compliance with data protection laws. Transparent Data Encryption (TDE) acts as a barrier against potential attackers who might attempt to read sensitive data directly from storage by ensuring encryption of data at rest within the database. You can encrypt individual data columns, entire tablespaces, database exports, and backups for better control over access to sensitive information. Data Redaction works in conjunction with TDE to further mitigate the risk of unauthorized data exposure within applications by obscuring sensitive information before it exits the database. By allowing for partial or full redaction, it prevents extensive extraction of sensitive data into reports and spreadsheets. Additionally, encryption is carried out at the database kernel level, which removes the necessity for modifications to existing applications, thus streamlining the implementation process. Ultimately, these security measures work together to provide a robust framework for protecting sensitive data throughout its lifecycle.
Description
Sekura.ai specializes in cybersecurity solutions powered by artificial intelligence, aimed at improving both threat detection and response mechanisms. Their innovative applications utilize cutting-edge AI to promptly recognize and address security vulnerabilities, providing companies with strong defenses against cyber threats. By integrating these AI advancements, organizations can safeguard sensitive information, ensure compliance with regulations, and allow their engineering teams to concentrate on their primary products. Additionally, the safe deployment of advanced large language models can significantly enhance internal processes and customer interactions. Sensitive information can be rapidly detected and removed during all stages of LLM activities, including training and inference. Moreover, access to critical training data and prompts can be tightly controlled, allowing the use of external models while protecting confidential information. Organizations can establish detailed permissions for data access with time-limited controls, ensuring they remain compliant with changing data privacy regulations. Securely utilizing public LLMs eliminates the need for expensive internal model development, thereby optimizing resources while maintaining a high level of data security.
API Access
Has API
API Access
Has API
Integrations
Cisco Multicloud Defense
Kkonnect.io
Oracle Data Guard
Oracle Exadata
Sandfly Security
TSM
Integrations
Cisco Multicloud Defense
Kkonnect.io
Oracle Data Guard
Oracle Exadata
Sandfly Security
TSM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/security/database-security/advanced-security/
Vendor Details
Company Name
Sekura.ai
Founded
2024
Country
United States
Website
sekura.ai/