The PULZARIS is a continuously expanding security operations ecosystem built on artificial intelligence that supports SOC teams with specialized AI solutions. The first component, now available, is PULZARIS Analyst AI, which automatically analyzes alerts from SIEM and other security systems, gathers the necessary context, correlates relevant events and entities, and then assists analysts in their decision-making with risk assessments and recommended actions. It reduces the manual investigation workload and accelerates incident response, while the final decision remains with human experts. Additional planned components include: Threat Hunting AI, Cyber Threat Intelligence AI, SOC Manager AI, and Respond AI.
Less manual data collection
Analyst AI automatically collects and organizes data related to the alert. This means the analyst doesn’t have to search through various systems, logs, and external sources; instead, they receive all the information needed for the investigation in one place.
A more comprehensive view of incidents
The solution links related events, users, devices, and network data. It helps you understand how individual indicators are connected and which systems may be affected by a given incident.
Faster priority decisions
Not all alerts pose the same level of risk. Analyst AI takes into account the severity of events, the strength of the evidence, the critical role of the affected assets, and the potential impact, helping you determine which cases require immediate attention.
Identifying hidden correlations
The system can review events over longer periods and connect signals that may seem insignificant on their own. This helps identify recurring activities, slow-moving attacks, and threats that are harder to detect.
Results prepared for decision-making
Analyst AI does more than simply list data. It generates a structured summary of what happened, which systems were affected, what evidence is available, what the potential risk might be, and what further investigative or remedial steps are warranted.
More consistent investigation quality
The solution processes every alert using the same analytical logic. This can reduce discrepancies arising from varying levels of experience, workload, or shift changes, while still leaving the professional decision in the hands of the analyst.
More time for complex tasks
By automating repetitive investigation steps, analysts can devote more time to complex incidents, proactive threat hunting, rule fine-tuning, and other high-value-added tasks.
Human oversight for every decision
Analyst AI supports the analyst’s work; it does not make final incident management decisions on its own. Results can be verified, recommendations can be reviewed, and security experts continue to decide on escalation and necessary actions.