How does Data Security Posture Management (DSPM) differ from traditional security measures?

Data Security Posture Management

Do existing DSPM and CSPM tools address the challenges of data encryption risks?What is Cloud Security Posture Management (CSPM)? What is Data Security Posture Management (DSPM)? What are the key features of Data Security Posture Management (DSPM)? How important is Data Security Posture Management (DSPM)? How does Data Security Posture Management (DSPM) differ from traditional security measures? What are the benefits of implementing Data Security Posture Management (DSPM) for an organization? How does Data Security Posture Management (DSPM) help identify and remediate security vulnerabilities? What compliance standards does Data Security Posture Management (DSPM) help organizations adhere to?What emerging trends are shaping the future of Data Security Posture Management (DSPM)?How cloud Data Security Posture Management (DSPM) overcomes the challenges of securing keys?

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 ?How do encryption and key management contribute to data protection? 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?

How does Data Security Posture Management (DSPM) differ from traditional security measures?

Although Data Security Posture Management (DSPM) complements traditional security, it cannot replace it. Even with DPSM, security is not enough, and Fortanix Key Insight explains why. But for now, let's compare Data Security Posture Management (DPSM) with traditional security from different viewpoints.

Data-Centric Approach: Traditional security strengthens the perimeter, i.e., networks, firewalls, and endpoints from external threats. This includes intrusion detection systems, anti-malware solutions, and network monitoring. While DSPM focuses on the data itself rather than just the systems. It identifies, classifies, and monitors sensitive data wherever it resides. DSPM cannot evaluate data encryption levels.

Visibility: Traditional measures often focus on specific areas or silos. For instance, focusing solely on network security might overlook vulnerabilities at the endpoint level or within specific applications. DSPM provides a comprehensive, unified view of the entire data environment, including cloud, on-premises, and hybrid systems. This includes the primary data storage locations and secondary or fragmented data repositories.

Automation and AI: Traditional security measures rely heavily on manual processes and rule-based systems, which can be slower and less adaptive to evolving threats. DSPM leverages advanced technologies like AI and machine learning to automate data identification and classification.

Risk Identification: Traditional measures tend to be more reactive, addressing threats as they are detected. DSPM continuously monitors and assesses data security postures in real-time, identifying vulnerable data that is located or classified before it can be exploited. DSPM does not identify and remediate the encryption standards that are applied. For this added security, refer to Fortanix Key Insight.