AI-powered cybersecurity

Automated threat detection
One of the main advantages of artificial intelligence is its ability to process large amounts of data. This can include various samples of information system elements: emails, website traffic, third-party applications, and ordinary files. AI easily finds anomalies in network flows, identifies links between different data sources, and saves cybersecurity analysts valuable time on time-consuming tasks. 

Anomaly detection
AI can also detect anomalies in network traffic or other data streams by analyzing patterns and finding similarities or differences between expected and actual actions.  AI is proactive and prevents potential threats. By combining machine learning systems with data sets (threat patterns, network traffic, logs, and other security events), you can develop solutions against cyberattacks.
Hackers and cybercriminals are relentless. Information is their money. Every day we hear about new system hacks, data breaches, phishing scams, and the next malware. That's why companies that care about their users' security have begun actively using artificial intelligence (AI) to better protect them.

Technology is revolutionizing cybersecurity, and AI is a game changer: it prevents cyber threats and reacts immediately to unauthorized system intrusions. AI algorithms learn to recognize patterns and make accurate predictions to prevent attacks.

What is AI-based cybersecurity?
AI-based cybersecurity is a set of technologies and approaches that use AI to analyze information on a network and protect it from threats. Using machine learning and big data analytics, AI-based algorithms can detect and prevent cyberattacks.
Security Orchestration
AI enables the automation of many routine tasks. By analyzing massive amounts of data using machine learning, AI finds anomalies and potential vulnerabilities. For example, by detecting unusual activity on a system, it warns of a potential cyberattack. Magenta Favorita company develops AI-based intrusion detection systems. They automatically block access to the system when unauthorized intrusion activity is detected.

Big data analysis
AI can quickly find connections and patterns to identify potential threats. For example, unusual login activity that AI detects by analyzing event logs can indicate a possible cyberattack. Traditional authentication methods, such as passwords, are often vulnerable to cyberattacks. Sophisticated AI-based authentication algorithms help the system automatically adapt to user behavior and determine when access to the system should be denied.

Cyber Resilience
Cyber resilience is the ability to adapt business systems to potential cyber threats. AI can detect not only cyber attacks or data breaches, but also other adverse conditions and problems. The created system responds to hacking, blocks incoming phishing and accidentally downloaded malware. The AI-based cyber resilience strategies developed by Magenta Favorita software development: adaptive response, analytical control, context awareness and redundancy.

Magenta Favorita Portugal: Respond quickly to threats
New artificial intelligence and machine learning techniques will play an important role in cybersecurity in the future. By optimizing threat detection processes, we use artificial intelligence-based systems that adapt security protocols and identify potential risks.

Magenta Favorita's artificial intelligence-based cybersecurity tools enable a rapid response to threats and prevent attacks. When suspicious activity or anomalous user behavior is detected, they generate instant alerts and block access.
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