WP Advanced Data Security | Workflow Automation & Playbooks | Imperva DSF

Home > Data Security > Data Security Fabric > Data Security Workflow Automation 

Data Security Workflow Automation & Playbooks

Achieve higher scale and increase DevOps efficiency through the use of automated workflows delivered through trusted repositories

Playbooks enable you to automate almost any task

A playbook is a set of rules, conditions, and business logic combined to automate a task. Playbooks can ingest data, execute jobs, migrate and manipulate data, create tickets and incidents in external systems, and automate almost any task. You can invoke Playbooks via a scheduled job, triggered by a system event, or automated from an external API call. Alternatively, you can activate a playbook via the user interface.

Eliminate manual processes that overload your team

Database security programs typically rely on extensive manual processes that limit the team’s capacity to develop new use cases. Imperva DSF takes process automation to a new, highly efficient level based on advanced workflows, data enrichments, embedded analytics, and orchestration to dramatically improve efficiency and throughput. Business process automation through Imperva Playbooks turns days of work into minutes while reducing the risk of human error and freeing up your team to focus on more strategic tasks.

  • Speed investigation and response operations
  • Automate any number of manual processes such as cloud database discovery, reporting sign-off, entitlement review, change reconciliation requests, and more
  • Combines event-level data from all monitored systems as well as metadata for context
Security Automation 1
Security Automation 1

Data-level SOAR integration: Built-in playbooks offer a mature approach to data breach prevention

Traditional data activity monitoring and logging tools flood security operations center (SOC) teams with low-value data and alerts, creating a significant data security challenge for organizations. An excess of low-confidence information can give rise to bottlenecks in event-level workflow communications as SOC teams struggle to prioritize alerts for remediation and decide which anomalous events warrant investigation. Manual steps are often required to enter these incidents into the organization’s Security, Orchestration, Automation, and Response (SOAR) platform, introducing more delays, disorganization, and potential for errors.

With automation provided by Imperva DSF playbooks, you can easily integrate high-value threat alerts with SOAR platforms to streamline and accelerate incident response processes. Imperva Data Risk Analytics (DRA) can automatically detect and classify data security incidents, trigger appropriate actions, and accelerate incident investigation and resolution.

Data level SOAR integration
Data level SOAR integration

2,000+ SOAR integration

logo mongoDB light
logo couchbase light
logo cockroach light
logo snowflake light
logo neo4j light
logo hadoop light
logo informix light
logo cassandra light
logo cloudera light
logo teradata light
logo aerospike light
logo sybase light
logo datastax light
logo marklogic light
logo kinetica light
logo redis light
logo percona light
logo intersystems light
logo yugabytedb light
logo sap hana light

Imperva Data Security Fabric protects all data types with a single system that delivers multiple business capabilities

Imperva Data Security Fabric is the first data-centric solution that enables your organization's security and compliance teams to quickly and easily secure sensitive data, no matter where it resides, with an integrated, proactive approach to visibility and predictive analytics.

Imperva Data Security Fabric is composed of cutting-edge orchestrated technical capabilities that work in unison to protect your data across your entire organization:

Data Discovery & Classification

Data Activity Monitoring

Data Retention & Archive

Data Risk Management

Ecosystem Integrations

Data Encryption & Tokenization

Static Data Masking

Automated Workflows & Playbooks

Sensitive Data Management