Artificial intelligence enables digital systems to analyze information, recognize patterns, and perform tasks that typically require human judgment.
Artificial intelligence (AI) is a broad term for technology that enables computers and other digital systems to perform tasks that typically require human intelligence. These tasks can include analyzing information, recognizing patterns, understanding language, generating content, and providing recommendations.
AI systems can use different approaches. Rule-based expert systems follow predefined rules, while machine learning enables models to learn patterns from data. Neural networks and deep learning are techniques within machine learning.
Natural language processing (NLP) focuses on processing and analyzing human language, while generative AI can produce text, images, audio, and other content. Autonomous AI systems can plan and perform tasks with varying degrees of independence from human control. These terms describe different methods, applications, and capabilities rather than mutually exclusive categories.
Artificial general intelligence (AGI) refers to a hypothetical form of AI capable of performing a broad range of intellectual tasks at a human level. This differs from today's AI systems, which have more limited capabilities and important limitations.
AI is used in areas such as customer service, analytics, transportation, and cybersecurity. In security operations, AI can help detect suspicious patterns, prioritize alerts, and support responses to cyberattacks. However, a system that automatically blocks a phishing attack does not necessarily use AI. The automation may instead rely on predefined rules.
The use of artificial intelligence may be subject to several regulatory frameworks. GDPR applies when AI systems process personal data, while NIS2 establishes cybersecurity and risk management requirements for organizations within its scope.
The EU AI Act introduces specific requirements for the development and use of AI systems. These requirements depend on factors such as the system's intended purpose, associated risks, and the organization's role. Norway is working to incorporate the AI Act into national legislation.
Organizations should therefore assess security, privacy, accountability, and applicable regulatory requirements before adopting AI systems.
Several of Sicra's technology partners use AI in their security solutions:
Arctic Wolf uses AI in its Aurora platform to help prioritize security alerts, analyze threats, and support incident response.
Microsoft offers Microsoft Security Copilot, which supports security analysts with incident investigations, analysis, and recommended actions through products such as Microsoft Defender and Microsoft Sentinel.
Palo Alto Networks uses AI in security solutions such as Cortex XDR to detect and prioritize cyber threats.
River Security uses AI to support selected security activities, including penetration testing and analysis.
F5 uses AI through solutions such as F5 AI Data Fabric to identify applications and assess security risks. Feature availability depends on the solution.
Sicra helps organizations with security advisory services, risk assessments, security strategy, and security monitoring. These services can help identify and manage security risks associated with AI adoption and strengthen an organization's ability to address relevant regulatory requirements.
Sicra SOC - Security Operation Center
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