SolutioN
In the traditional pipeline, every step after ingestion is retroactive. The SIEM owns the data, and all analysis depends on querying stored records.
Alternatively, the new architecture inserts a real-time processing layer between the raw logs and the downstream stores. Timeplus fills this gap, providing real-time dynamic correlation (live vs. baseline).
The real goal is producing trusted context early enough to act on — while events are still flowing and the attack is still in progress. A real-time control layer makes that possible. Not as a replacement for the SIEM, but as the missing layer in front of it.
Step 1
Capture live dynamic traffic in short windows
Step 2
Build a dynamic baseline
Step 3
Correlate two moving targets (live vs. baseline) in real time
Step 3
Trigger detection and response
SEE IT IN ACTION:
data lineage:
In a typical SOC setup, signals and context are both produced after ingestion, reconstructed from stored data. That fundamental delay means even the signals themselves can be missed, or arrive too late to act on.
In the AI era, cyber attacks compress entire kill chains (reconnaissance, exploitation, lateral movement, exfiltration) into seconds or minutes. The combination of faster attacks and exploding data volumes has created a time-and-scale problem that the old model wasn't built to handle.
CHALLENGES:
Delayed Detection
Detection windows collapse when facing AI-attacked with massive machine scale and speed.
Missing Dynamic Correlation
Each log line tells you only pieces of the puzzle, and there's no correlation.
High Ingestion and Storage Costs
By the time a pattern surfaces, too long has passed, and thousands of events have been already ingested and stored.