Data Detection and Response (DDR)
Discovering a data breach soon after the fact, let alone days after, is too late.
Dig is the only data security provider that monitors cloud data events in real time. With our unique DDR capabilities, you can identify when sensitive data is moved, copied, or accessed in ways that violate your security and compliance policies – and take immediate action when it matters.
Stop data
incidents early
Dig rapidly discovers sensitive data to slash mean time to detect (MTTD) and mean time to respond (MTTR)
Pinpoint the source and cause of events
Dig offers full visibility and forensics to break down data-related events and identify their cause
Protect your data and maintain performance
Dig uses real-time log analytics to protect your clouds without agents and without compromising performance
Real-time monitoring across cloud and SaaS environments
Tackle critical incidents by monitoring sensitive data wherever it is located – in your public cloud (e.g. AWS, Azure, GCP), SaaS, or DBaaS (e.g. Snowflake) environments:
- Large-scale replicated data and downloaded sensitive data
- Sensitive data moved into publicly accessible storage
- Sensitive data moved from production environments
Immediate alerts for real threats
Some security incidents can wait until tomorrow, others can’t. Dig’s threat model is fine-tuned to prioritize the events that need your attention right now.
- Surface data risks that pose a real-time threat to your security posture or compliance
- Enable more effective incident response and remediation workflows
- Find data owners and lineage quickly with full forensics
Multiple integrations with your stack
Dig works well with your existing technology stack to provide the insights you need to stay secure:
- Automated alerts via existing platforms that your team will see (e.g. email, Slack, Teams, Jira)
- Seamless integrations with your automated and SOC-facilitated incident response workflows and tools (e.g. SOAR, SIEM)
- Connections to your IdP to present a rich view of active identities for each data asset