Torrance, CA – QFunction, a cybersecurity company, has announced the release of its tailored cybersecurity solutions that aim to protect medium to large sized businesses and CISOs from cyber threats and attacks using the power of artificial intelligence (AI). The company, founded by cybersecurity expert Ryan Smith, offers AI-driven anomaly detection capabilities integrated into clients’ existing Security Information and Event Management (SIEM) systems. This eliminates the need for additional costly cybersecurity products.
In light of the increasing number of cybersecurity attacks, with nearly half a billion ransomware attacks recorded in 2022 resulting in an average cost of 1.5 million dollars, QFunction’s customized solutions aim to reduce the noise, volume of alerts, and false positives that traditional cybersecurity methods often produce.
QFunction’s cybersecurity solutions include cutting-edge threat hunting services, targeted user behavior analytics, SIEM setup and consultancy, and general anomaly detection. These solutions help identify and neutralize potential threats, monitor user activities, establish behavioral baselines, optimize processes, and enhance decision-making.
By leveraging AI and machine learning breakthroughs, QFunction seamlessly integrates AI/ML technology into clients’ existing security stacks, enabling them to detect and prevent attacks more efficiently. The company’s expertise in SIEM administration also allows them to assist clients in collecting the necessary cybersecurity data from their environments for better security.
QFunction operates globally and encourages businesses seeking AI-based protection against cyber threats to reach out. Founder Ryan Smith emphasizes building trust and long-term partnerships, offering agile and personalized services that adapt to each client’s unique conditions.
For more information about QFunction and its services, visit their website at [https://qfunction.ai/](https://qfunction.ai/).
QFunction operates in the cybersecurity industry, providing tailored cybersecurity solutions to medium to large-sized businesses and CISOs. With the increasing number of cybersecurity attacks, the company’s focus is on protecting clients from cyber threats and attacks using the power of artificial intelligence (AI).
The cybersecurity industry is facing significant challenges due to the rising frequency and sophistication of cyber attacks. According to recent reports, there were nearly half a billion ransomware attacks recorded in 2022 alone, resulting in an average cost of 1.5 million dollars per attack. These attacks can cause severe financial and reputational damage to businesses.
To address these challenges, QFunction offers customized solutions that aim to reduce the noise, volume of alerts, and false positives often associated with traditional cybersecurity methods. By integrating AI-driven anomaly detection capabilities into clients’ existing Security Information and Event Management (SIEM) systems, the company eliminates the need for additional costly cybersecurity products.
QFunction’s cybersecurity solutions include cutting-edge threat hunting services, targeted user behavior analytics, SIEM setup and consultancy, and general anomaly detection. These services help identify and neutralize potential threats, monitor user activities, establish behavioral baselines, optimize processes, and enhance decision-making.
By leveraging AI and machine learning breakthroughs, QFunction enables clients to detect and prevent attacks more efficiently. The company’s expertise in SIEM administration also allows them to assist clients in collecting the necessary cybersecurity data from their environments for better security.
Operating globally, QFunction offers its services to businesses seeking AI-based protection against cyber threats. The founder, Ryan Smith, emphasizes building trust and long-term partnerships by offering agile and personalized services that adapt to each client’s unique conditions.
For more information about QFunction and its services, visit their website at qfunction.ai.