What are individual responsibilities for protecting company data?

AI Security

What is an AI/ML pipeline? What are the components of the AI/ML pipeline?How can I ensure data security and safety in an AI/ML pipeline? What are Large Language Models (LLMs)? How do Large Language Models (LLMs) work?What are the benefits of Large Language Models (LLMs)?What is the data security risks with Large Language Models (LLMs)?How do I address data security concerns with Large Language Models (LLMs)? Is Generative AI (Genai) different than Large Language Models (LLMs)?What is Generative AI (Gen AI) security? What is Retrieval-Augmented Generation (RAG)? What is Retrieval-Augmented Generation (RAGs) used for?What are the benefits of Retrieval-Augmented Generation (RAG)?Are there security risks with Retrieval-Augmented Generation (RAG)? How can we address Retrieval-Augmented Generation (RAG security) vulnerabilities?What are key AI security challenges and risks? What is data poisoning? How do I prevent data poison attack? What is prompt engineering? What is a prompt injection attack? What is AI governance? Why is AI governance important? What is Large Language Models (LLM) security?

Post Quantum Cryptography

What is the quantum risk and its impact on data security?What are the implications of data sensitivity vs time?When will quantum computing pose a threat to encryption methods?Which protocols and certificates may become vulnerable in the post-quantum era?How can enterprises prepare data security strategies for the post-quantum era?Do current cloud platforms support post-quantum algorithms?What is the concept of cryptographic agility?How does cryptographic agility impact risk management for enterprises?Why is data classification important in the context of post-quantum readiness?How does crypto agility affect disaster recovery planning and insurance costs?What is the technical impact of post-quantum agility on organizations?How does Fortanix DSM help achieve cryptographic agility?What features does Fortanix DSM offer for key lifecycle management in PQC implementation?How does Fortanix DSM facilitate integration with leading applications in PQC implementation?

Enterprise Key Management

What is enterprise key management?Why is enterprise key management important?What are the benefits of using Enterprise Key Management for cloud data security?What are the challenges in enterprise key management?How does enterprise key management work?What are some best practices for enterprise key management?Can enterprise key management be integrated with existing systems?What are the compliance considerations for enterprise key management?Can enterprise key management recover encrypted data if a key is lost?How does enterprise key management address cloud and multi-cloud environments?Are there industry standards for enterprise key management?What are the pain points related to data security in hybrid multicloud environments ?What negative business impact can result from data security siloes and lack of monitoring?Do existing DSPM and CSPM tools address the challenges of data encryption risks?How do encryption and key management contribute to data protection? What challenges arise from the proliferation of encryption across different services?How does Fortanix address the challenges associated with encryption key management?How does Fortanix Enterprise Key Posture Management (EKPM) provide visibility into data security risks and industry benchmarks? How does Fortanix address the challenge of reporting compliance with policies and regulations?How does Fortanix Enterprise Key Posture Management (EKPM) align with regulatory and data security policies and standards? How does Fortanix Enterprise Key Posture Management (EKPM) simplify the complex and time-consuming task of correlating and analyzing at-risk data and services? How does Fortanix Enterprise Key Posture Management (EKPM) help organizations prioritize and remediate the most harmful risks quickly? Why are manual discovery processes considered complex and time-consuming, and how does Fortanix Enterprise Key Posture Management (EKPM) simplify them? How does Fortanix Enterprise Key Posture Management (EKPM) reduce the inefficient use of security personnel?Can Fortanix Enterprise Key Posture Management (EKPM) integrate with existing security and compliance tools? Does Fortanix Enterprise Key Posture Management (EKPM) integrate with SIEM or SOAR solutions for log analytics? Can Fortanix Enterprise Key Posture Management (EKPM) integrate with third-party IT ticketing systems for remediation workflows? What is Cloud Security Posture Management (CSPM)? What is Data Security Posture Management (DSPM)? What is Hybrid multicloud?

What are individual responsibilities for protecting company data?

Protecting company data involves understanding data classifications and implementing appropriate security controls based on these classifications. Data classifications help a security team determine what data types can be released and what measures should protect each data type.

There are three main categories: 

  • Confidential Data: This includes data that cannot be released and is protected by federal or state laws, regulations, or contractual agreements requiring confidentiality, such as Non-Disclosure Agreements (NDAs). 
  • Protected Data: This data is not identified as confidential or public but still requires protection to ensure lawful or controlled release. 
  • Public Data: This is data open to all users, with no security measures necessary. Public data includes information that must be made public due to obligations, such as fact sheets or information intended to promote the organization, research, or its initiatives. 

To ensure the protection of these data types, different roles and responsibilities are assigned within an organization: 

Data Owner: The Data Owner is assigned by management to oversee the handling of administrative, academic, or research data. They are responsible for ensuring appropriate steps are taken to protect data and for implementing policies, guidelines, and memorandums of understanding that define the proper use of the data. The Data Owner must: 

  • Approve access and formally assign custody of information resources. 
  • Specify appropriate controls, based on data classification, to protect information from unauthorized modification, deletion, or disclosure. 
  • Ensure administrators implement these controls and educate users on their importance. 
  • Confirm that applicable controls are in place and ensure compliance. 
  • Re-evaluate access rights when a user’s access requirements change. 

Data Administrator: A dedicated team or an outsourced service provider is responsible for implementing the controls specified by the Data Owner. Their responsibilities include: 

  • Implementing the controls and providing physical and procedural safeguards for the information resources. 
  • Assisting Data Owners in evaluating the overall effectiveness of these controls. 
  • Implementing monitoring techniques and procedures to detect, report, and investigate security incidents. 

Data User: Data Users are individuals authorized by the Data Owner to read, enter, or update information. Their responsibilities include: 

  • Using the resource only for the purposes specified by the Data Owner. 
  • Complying with the controls established by the Data Owner. 
  • Preventing the disclosure of confidential or sensitive information.