From Data Context to Real-Time Security Decisions
Security decisions are often made without data context.
An alert might indicate suspicious activity - but without knowing what data is involved, how sensitive it is, and who has access to it, it’s impossible to understand real risk.
Cyera has that context. Vega is where security decisions happen.
By integrating Cyera into Vega, that context becomes part of every query, detection, and investigation - in real time.
What Changes for the SOC
This integration shifts how teams prioritize and respond:
- Detections become risk-aware
Events are evaluated based on data sensitivity and identity access, not just activity type. - Triage focuses on what actually matters
Alerts tied to sensitive data and high-risk identities rise to the top. - Investigations move faster
Analysts don’t need to pivot across tools to understand exposure or impact - the context is already there. - No data duplication
Cyera context is queried through Vega’s federated analytics layer, remaining in place while fully accessible.
From Query to Investigation: How It Works in Practice
Once the Cyera connector is configured, Vega continuously pulls:
- Datastores (sensitivity, classification, ownership)
- Identities (attributes, trust level, data access)
These become queryable data sources:
Detection, Now Grounded in Data Sensitivity
Example 1: Access to sensitive data
A generic access event becomes a high-risk signal when tied to sensitive data.
@CloudTrail
| where event_name == "GetObject"
| join kind=inner (
@Cyera-Datastores
| where resource.sensitivity == "VerySensitive"
) on datastore_id
This flags access specifically to high-sensitivity datastores - not just any object read.
Example 2: Risky identity behavior
Combine datastore sensitivity, S3 activity, and identity risk in a single query:
@Cyera-Datastores
| where resource.sensitivity_display in ("Sensitive", "Highly Sensitive", "Restricted")
or resource.public_access == true
| where cloud.provider == "AWS"
| join kind=inner (
@CloudTrail
| where event_name in (
"GetObject", "PutObject", "DeleteObject",
"ListObjects", "ListObjectsV2",
"GetBucketPolicy", "PutBucketPolicy",
"GetBucketAcl", "PutBucketAcl"
)
) on $left.resource.name == $right.databucket.name
and $left.account.uid == $right.account.uid
| join kind=inner (
@Cyera-Identities
| where user.trust_level in ("Untrusted", "Low", "Unknown")
or user.stale == true
or user.sensitivity in ("High", "Critical")
) on $left.actor.user.name == $right.user.name
and $left.account.uid == $right.account.uid
| sort by timestamp desc
Surfaces S3 access to Cyera-flagged sensitive or public datastores by untrusted, stale, or high-sensitivity identities - turning routine API activity into high-confidence risk signals.
Understanding Impact in Seconds, Not Pivots
When an alert is triggered, Vega automatically brings Cyera context into the investigation.
Instead of manually piecing together exposure, analysts immediately see:
- Which datastores the identity can access
- Which of them are sensitive
- Ownership and exposure levels
- The potential blast radius of the activity
The result is a complete investigation with full context - without leaving the workflow.
Data Context, Where It Actually Matters
Security teams don’t lack data - they lack context at the moment of decision.
By integrating Cyera directly into Vega’s federated analytics layer, identity and data sensitivity become part of every detection, triage decision, and investigation - without duplicating or moving the data.
The outcome is simple:
- Better prioritization
- Faster investigations
- Decisions grounded in real risk
CTA
The Vega + Cyera integration is now available.
Book a demo to see it in action and bring your hardest “who has access to what sensitive data” use case - we’ll walk through it together.
About Cyera
Cyera is the AI Security Platform built for the age of agents. Enterprises like Paramount, Chipotle, and Valvoline use Cyera to control exactly what data their AI can reach - and govern what happens next. The platform secures data at rest, in motion, and in use, whether touched by humans or AI agents. Valued at $9 billion and backed by over $1.7 billion from Accel, Blackstone, Cyberstarts, Georgian, Lightspeed, and Sequoia. Protect your data. Secure AI.
