AI Cybersecurity
AI cybersecurity uses artificial intelligence techniques to monitor, analyze and respond to threats. It can identify suspicious activity in large data volumes, preventing attacks that might go undetected by traditional security tools.
New Threat Detection: Cyber criminals are constantly developing new methods to breach sensitive networks and systems. By monitoring user behavior and identifying patterns, AI can spot potential threats before they cause any damage to business networks.
Bot Blocking: A large section of online traffic is made up of bots, which can pose a significant threat to company networks and systems. By understanding organic traffic patterns, AI can distinguish allowable bots from malicious ones.
Breach Prediction: Since AI programs catalogue IT inventory, they can monitor particular hardware and software types and identify vulnerabilities to predict possible breaches. They can also provide prescriptive information that can help IT security teams improve their configuration and enhancement controls to better optimize their cyber resilience.
Endpoint Protection: As remote work becomes more common, endpoint protection has become a critical component of a company’s overall security strategy. Instead of antivirus programs that rely on signatures to detect threats, AI programs use behavioral analytics to monitor endpoint devices and identify suspicious activity by geolocation and time zones.
ML algorithm techniques enable AI to learn from data and evolve to address new threats. This helps prevent advanced malware threats, which can keep changing to avoid being detected.
Network Security: Many organizations struggle with network security, requiring time-intensive processes to identify and inspect legitimate connections versus those that may require inspection for potentially malicious activity. By using AI, security teams can recommend the right policies and workloads to reduce risk and meet the requirements of a zero-trust security approach.