From Alert to Answer: Faster Investigations with Vectra AI
The challenge isn't missing data, it's the time to find and connect it. How Vectra AI helps analysts understand what really happened behind an alert.
How long does it truly take a security analyst to understand what happened behind an alert?
In most cases, the challenge isn't a lack of information, but rather the time required to search for it, formulate queries, switch between screens, and piece together all parts of an incident.
Vectra AI: Proactive Threat Detection
Vectra AI is an NDR (Network Detection and Response) platform that leverages behavioral analytics and AI to identify suspicious activity and attacks across Network, Identity, and Cloud environments.
The system doesn't stop at identifying a single event. Instead, it analyzes the behavior of users, accounts, and devices, connecting various activities to illustrate the progression of an attack and prioritize the most significant threats.
Introducing Vectra AI Assistant
Even when information already exists within the system, analysts still need to investigate it to understand what truly transpired. This is where Vectra AI Assistant comes into play.
This capability allows analysts to ask investigative and threat hunting questions in natural language and receive answers based on the information and context available within the platform.
Instead of starting with a complex query, you can simply ask, for example:
- Which hosts and accounts are associated with the detected threat?
- What unusual activity occurred in the last 24 hours?
- How did the activity progress between the Network, Identity, and Cloud?
- What should be the focus for the next stage of the investigation?
The AI Assistant doesn't just return search results. It provides context around the event, connects entities and activities, and suggests additional avenues for further investigation. This enables the analyst to understand the full attack picture much faster.
Impact for SOC Teams
The implications for SOC teams are significant:
- Reduced investigation and response times.
- Decreased reliance on prior knowledge of query languages.
- Faster connection of indicators across different systems and environments.
- Democratized threat hunting capabilities, even for less experienced analysts.
- Focus on threats that require action, rather than manual data searching.
The goal isn't to replace the analyst's judgment, but rather to empower them to access relevant information more quickly, understand the connections between events, and make more efficient and informed decisions.
Ultimately, the true value lies in the ability to shorten the path from threat detection to understanding, and from there, to effective response.
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