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Cyber Security

AI Driven Anomaly Detection and Remediation Guidance

I Brain AI consulting firm proposes a Gen AI-powered threat detection virtual assistant tailored to the organization’s security specific needs augments SOC analysts’ decision-making capabilities by providing actionable intelligence and recommended response actions based on sophisticated analysis of security data. The solution incorporates cutting-edge AI algorithms and machine learning techniques to enhance the detection capabilities and efficiency of the existing security infrastructure.

Threat Intelligence Integration

The Insight-IQ Virtual Assistant integrates with external threat intelligence feeds and databases to enrich the analysis with up-to-date information on known cyber threats, malware signatures, and attack vectors. This enables the system to proactively identify and respond to emerging threats, including zero-day attacks and previously unseen malware variants.

Automated Response Orchestration

In addition to threat detection, the Virtual Assistant includes automated response orchestration capabilities to facilitate rapid incident response and remediation. Gen AI can autonomously execute predefined response actions, such as isolating compromised systems, blocking malicious traffic, or escalating incidents to human analysts for further investigation.

Threat Hunting Assistance

The Insight-IQ Virtual Assistant conducts contextual analysis by correlating multiple data sources to provide SOC analysts with comprehensive insights into the incident. It aggregates and analyses data from various sources, such as network logs, endpoint telemetry, threat intelligence feeds, and historical incident data with a faster incident triage, thus accelerating the detection and response to security incidents.

Advanced Incident Response

The Insight-IQ Virtual Assistant conducts contextual analysis by correlating multiple data sources to provide SOC analysts with comprehensive insights into the incident. It aggregates and analyses data from various sources, such as network logs, endpoint telemetry, threat intelligence feeds, and historical incident data with a faster incident triage, thus accelerating the detection and response to security incidents.