7 Ways to Bring AI to Cybersecurity
Academic researchers are developing projects to apply AI to detect and stop cyberattacks and keep critical infrastructure secure, thanks to grants from C3.ai Digital Transformation Institute.
Stay informed on the latest cyberattack trends, threats, and news with expert analysis and updates. Secure your digital landscape now.
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Background for this topic.
Cyberattack is an intentional attempt to compromise computer systems, networks, or digital devices by exploiting vulnerabilities or using malicious software. Common techniques include malware deployment, phishing to steal credentials, ransomware to encrypt data for extortion, and denial-of-service attacks that disrupt availability. These actions aim to gain unauthorized access, manipulate data, or cause operational disruption.
For security professionals, cyberattacks represent critical risks requiring proactive defense measures such as patching known vulnerabilities, monitoring network traffic for anomalies, and enforcing strong authentication. Understanding attacker methods helps prioritize defenses on exposed systems and sensitive data. Effective detection and containment depend on timely threat intelligence and coordinated response to limit damage and restore normal operations.
Academic researchers are developing projects to apply AI to detect and stop cyberattacks and keep critical infrastructure secure, thanks to grants from C3.ai Digital Transformation Institute.
The dangers to SMBs and businesses of all sizes from cyberattacks are well known. But what’s driving these attacks, and what do cybersecurity stakeholders need to do that they’re not already doing?
BPFDoor isn't new to the cyberattack game — in fact, it's gone undetected for years — but PwC researchers discovered the piece of malware in 2021. Subsequently, the cybersecurity community is learning more about the stealthy nature of malware, how it works, and how it can be prevented