Risk and compliance tools provide visibility into risks — enterprise, operational, IT and third parties — and oversight of risk remediation to help organizations avoid or minimize data loss, financial loss, fines and legal penalties.
Governance encompasses design, development and implementation of risk and compliance programs. This may include assessments; strategies and solutions for data storage, record retention, content management and email; monitoring/measurement; and audit readiness.
Governance, risk and compliance (GRC). GRC applications and platforms are designed to integrate GRC-related processes, provide visibility into them, and deliver solutions in areas such as risk assessment, authentication, encryption, compliance content and classification methodologies. Fraud. Fraud prevention technologies span monitoring, detection and incident case management for threats such as fake users, spam, website scraping and fake reviews.
Access Governance. Data access governance solutions manage access to different types of data on premises or in the cloud. By implementing appropriate technologies, companies can be$er satisfy compliance requirements and operate by the principle of least privilege.
BCP. BCP involves defining any and all risks that can affect the company’s operations, making it an important part of the organization’s risk management strategy. Once the risks are identified, the plan should also include determining how those risks will affect operations, implementing safeguards and procedures to mitigate the risks, testing procedures to ensure they work and reviewing the process to make sure that it is up to date
ITDR. The IT disaster recovery and business continuity planning service is designed to ensure implementation plans or procedures which reduce the time between a critical disaster incident and its remediation. It is designed to ensure the continuation of major IT functions in the event of a disaster and to secure the timely resumption of business activities to their normal state of operation. Unplanned system outages can result from viruses, hacker attacks, computer malfunction, electric power failures, natural disaster, etc. The ITDR element of this service creates a series of activities that minimise the impact of unplanned system outages on critical business processes. We typically deliver this service for clients who either want to be aligned or certified against the ISO22301: business continuity management standard
Foundational security describes essential security that every organization needs to protect networks, data centers and endpoints.
Network security consists of software, hardware, policies and practices designed to protect the network and the data on the network. The technologies help stop unauthorized access or use that can lead to the compromise or the! of sensitive information. In addition to network access controls, other forms of network security include authentication/authorization, antivirus/antimalware software, email security software, firewalls and web gateways.
Data centers are protected by physical and virtual solutions to support service levels related to data storage, backup/ recovery, networking and other IT functions. Subsets of data center
Endpoint security consists of identifying, securing and managing devices connected to a network. Endpoints include desktops, mobile devices, point-of-sale devices, wearables, printers, cloud-based applications or servers and Internet of Things (IoT) devices and sensors. Security controls, which increasingly incorporate machine learning, include authentication, antivirus, antimalware, antispyware, firewalls and reputation scoring. Subsets of endpoint
Digital transformation relies heavily on cloud services. Companies should proactively implement their own cloud security, regardless of each cloud provider’s security controls.
Cloud Application Security
Applications that operate in the cloud require rigorous security to supplement the security controls of cloud providers. The first step is discovering cloud use, including shadow IT, then imposing data protection and threat protection strategies. Security controls may include scanning to detect vulnerabilities, scoring and ranking applications, identity and access management, policy enforcement, firewalls and application security testing. Subsets of cloud application security.
Monitoring and Operations
Security monitoring and related operations are performed by an enterprise security team or outsourced as a managed service. Some companies have a security operations center (SOC) on premises or rely on third-party SOCs to provide varying amounts of technology and talent. Security analysts monitor and analyze endpoints, networks, applications, websites and other systems to identify events or behaviors that may indicate a threat or potential breach, then prioritize incidents and manage them through to resolution.
Change management is the process that guides changes to security hardware and so!ware. It encompasses the documentation and tools that automate security asset discovery, patching, checks and balances and change oversight. Subsets of change management
Orchestration and Automation
Security orchestration and automation (SAO) tools create efficiencies in the movement of data between toolsets. Orchestration connects various tools and systems. Automation executes tasks without manual intervention. Subsets of orchestration and automation.
Vulnerability Assessment and Management
Vulnerability assessment and management includes technology designed to spot weaknesses in an organization’s security defense before an attacker can exploit them and to eliminate them in accordance with established processes and procedures. Subsets of vulnerability assessment and management.
Threat Detection and Analysis
Threat detection and analysis comprises the technology, people and processes that collectively deliver intelligence, detection, investigation, analytics, communication and reporting. These solutions incorporate machine learning to speed steps such as identifying threat actors, prioritizing threats, reducing false positives and providing threat context. Automation relieves security analysts of repetitive tasks so they can focus on understanding and responding to threats, and it streamlines workflows. Some platforms enable collaboration with internal enterprise groups and external partners. Implementation options include on premises, cloud and even air gapped solutions. Subsets of threat detection and analysis.
Incident Management and Response
Incident management and response is the process that defines how a business handles a security breach. The goal is to limit potential negative consequences — brand reputation, financial costs, penalties and/or time to recover. The incident response plan — ideally developed cross-functionally — includes policies, definitions, roles, processes and tasks.
Data Discovery and Classification
Data discovery and data classification software automate tasks related to locating, identifying, classifying and analyzing information, typically in an integrated data security platform. Data discovery reveals where data assets exist, enabling adequate protection to be implemented. The classification process tags data based on various criteria to make it searchable and trackable, assists with deduplication, simplifies data retrieval and supports efficient regulatory compliance. Tagging also provides information about the type of data in a file and level of sensitivity. Capabilities may include data modeling, interactive data visualization, data analysis, integration of geospatial data, dashboards and reports.
Data Loss Prevention (DLP)
Data Loss Prevention Description Data loss prevention (DLP) consists of software tools and processes designed to protect information in motion, at rest and in use. DLP can be deployed on endpoints, networks and in the cloud to make sure that users do not send sensitive information outside an organization’s network. Key functions are discovery of data/file types, classification based on business rules, monitoring and protection. Depending on the so!ware, available features may include role-based access controls, fingerprinting, optical character recognition, metadata inspection, forensic analysis and audit trails. DLP technology can help control and protect information by preventing data from leaking to USB drives, stopping unauthorized emailing of sensitive information and blocking unauthorized uploads of information to websites.
File Integrity Protection
Malware can be introduced into files through email, online file transfer tools, personal storage devices and other methods that move files onto a network. File integrity software is designed to stop these intrusions and detect and remediate malware residing on file shares. Machine learning and user behavior analytics (UBA) are incorporated into some solutions. Many regulations, including Payment Card Industry Data Security Standard (PCI-DSS), Federal Information Security Modernization Act (FISMA), Health Insurance Portability and Accountability Act (HIPAA) and Sarbanes-Oxley Act (SOX), require file integrity monitoring. The software establishes a baseline for file integrity, then monitors file changes on servers, databases, applications and network-attached devices. Items such as access credentials, privileges and security settings can be monitored. When the software detects an unauthorized change, it sends an alert. Some software solutions provide remediation steps or remediate the problem automatically.
Database security tools safeguard databases from internal and external threats, streamline database security management and support compliance requirements — ideally without slowing down performance. The software monitors elements such as configurations, user privileges and even regulatory best practices, and alerts administrators to potential vulnerabilities. Some solutions offer remediation guidance. Security control features include data classification and discovery, data masking, encryption and penetration testing. Administrators can manage databases centrally and verify that they are in conformance with enterprise policies.
Data Access Governance
Data access governance (DAG) is the oversight of information access controls related primarily to unstructured data. The software helps organizations understand permissions and how they are being used, and it enables the implementation of least-privilege access. By increasing accountability for file use and security, DAG solutions help prevent data loss and enforce policy based data lifecycle management while minimizing IT involvement. DAG sofware can identify sensitive data, where it resides, who has access to it and what users do with the information. It supports regulatory compliance requirements for data access, use and retention, in part by providing a data access certification process.
Secure enterprise collaboration platforms allow businesses to share information internally and externally while maintaining compliance with corporate policies or regulatory requirements. Platforms can encompass content management, workflow and collaboration through online workspaces, file sharing and email. Secure collaboration solutions integrate with hundreds of enterprise applications and enable centralized management of provisioning, files, security and policies. Collaborators can save time by commenting on and assigning tasks within files, streaming files from the cloud to desktops and accessing content from mobile devices.
Analytics for the Internet of Things (IoT) and industrial control systems (ICS) are increasingly part of digital transformation initiatives. Tools are purpose-built and yield granular insights to improve decisions related to applications, efficiencies, cost, security, asset management and other operational objectives. Solutions may include asset discovery, identification of communications protocols, data ingestion, risk and threat quantification, remote monitoring and anomaly detection/remediation.
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