Today, organizations face numerous challenges, including frequent cyberattacks and the need to protect digital assets. From data quality and accuracy to data security and recognizing and categorizing data that lies in silos, these challenges are increasing as millions of terabytes of data are generated every day around the globe.
As data sprawls across the digital environment, it’s vital to remember that data is more than just fundamental information necessary for operational purposes; it’s a strategic asset that feeds informed decision-making, innovation, and risk management. Businesses of all sizes leverage data to boost operational efficiency, optimize operations and strategic objectives, acquire a deeper knowledge of their user base, and, most crucially, manage risk efficiently.
By 2025, cybercrime is projected to cost $10.5 trillion annually, making it the third-largest sector in the world by GDP. The attack surface is as extensive as the data itself, which is spread across several countries and complex cloud systems.
1. Data Sprawl Across Hybrid and Multi-Cloud Environments
The Challenge: Once restricted to on-premises data storage systems, data is now spreading across regions at lightning-fast rates. Data created in Arizona may be found across the Atlantic within a nanosecond. Subsequently, that data is spread across cloud platforms, SaaS apps, data lakes, and shadow IT environments. This decentralization makes it hard to retain visibility, implement security rules, and ensure compliance.
The Solution: Securiti's Data Security Posture Management (DSPM) provides unified data discovery and classification of sensitive data across all environments. With real-time insight into where your data resides, its type, and who has access, enterprises can proactively safeguard their most vital assets.
2. Lack of Context Around Sensitive Data
The Challenge: Structured and unstructured data reside across multiple networks, systems, on-premises, cloud, hybrid cloud environments, shadow databases, and in silos. This data typically lacks context, such as the data subject type, residency, sensitivity, or regulatory exposure, and security teams struggle to prioritize risk mitigation effectively.
The Solution: Traditional governance systems aren’t built to manage the intricacies necessary for controlling unstructured data, including inline discovery and categorization, data lineage tracking, and data sanitization. Securiti Knowledge Graph leverages AI-driven data intelligence to give in-depth context, including relationships to data subjects, access entitlements, residency, and regulatory scope, delivering vital contextual insight about your unstructured and structured data.
3. Human Error and Over-Privileged Access
The Challenge: Humans are the weakest link in the cybersecurity chain. According to a Mimecast analysis, human mistakes were responsible for 95% of data breaches in 2024, mostly driven by insider threats, credential abuse, misconfigurations, and user-driven errors. Often, individuals or systems have unintended access to sensitive data they shouldn’t have, or data that is not required for their daily operations, which increases the risk of unintended data access exposure.
The Solution: Securiti Data Access Intelligence & Governance delivers end-to-end encryption, both at rest and in transit, along with role-based access controls to limit data access to authorized personnel, and advanced data anonymization techniques to ensure secure data transfer. By leveraging the Knowledge Graph, it links to structured and unstructured data systems and automatically identifies and generates connection maps between personal data and unique identities, securing sensitive data throughout its lifespan.
4. Regulatory Complexity & Global Compliance
The Challenge: Data privacy rules and policies are always evolving. Notable laws, such as the European Union’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and the California Privacy Rights Act (CPRA), as well as the Health Insurance Portability and Accountability Act (HIPAA), impose strict data security obligations on businesses. Enterprises operating across jurisdictions must track and comply with varied and often contradictory privacy regulations.
The Solution: Securiti Data Command Center enables enterprises to automate a wide range of compliance requirements, including fulfilling data subject rights, managing consent, data mapping, risk assessments, breach management, and privacy policy management. Additionally, the Data Command Center enables organizations to ensure secure cross-border data transfer across geographic boundaries by identifying data flows. Additionally, organizations can comply with cross-border data transfer requirements under notable laws, such as the GDPR and CPRA, by identifying and managing data flows across different geographies.
5. Delayed Incident Detection & Response
The Challenge: Effective data breach response management is crucial for protecting sensitive data. It involves identifying vulnerabilities through comprehensive risk assessments and impact assessments. Organizations struggle with risk detection because they lack a focus on network and endpoint activity, consequently overlooking data flows. As such, when events occur, identifying what data was impacted can sometimes take a lengthy period, which is not allowed under data privacy breach regulations.
The Solution: Securiti Breach Management delivers incident response procedures that enable enterprises to respond to privacy issues in a timely and effective manner. This is crucial because, under data breach regulations, organizations are expected to take reasonable measures to secure personal data against unauthorized access, disclosure, alteration, misuse, or loss before processing it.
Embrace Automation for a Robust Data Security Posture
Data security isn’t a one-step process. It’s a comprehensive strategy that requires the onboarding of a data privacy officer who oversees critical data security operations. This is in addition to training employees on applicable regulations and best practices for data security.
By combining automated discovery, contextual data intelligence, and policy-driven enforcement, organizations can regulate their data risk, security, and compliance posture. Securiti is renowned for helping organizations operationalize data security with confidence and agility.
