Cybersecurity involves protecting information and systems from major cyberthreats, such as cyberterrorism, cyberwarfare, and cyberespionage.
Rooted in prevention, a next-generation security platform is designed from the ground up to counter attacks before they manifest in an organization’s environment.
Machine learning is when a program takes new data, learns from it and makes changes without being explicitly programmed to do so. With machine learning, the machine is enabled to create or modify rules to further improve itself.
To more successfully stop cyberattacks, organizations cannot rely on point solutions. There must be layers of defenses, covering multiple points of interception.
Payload-based signatures detect patterns in the content of the file rather than attributes, such as a hash, allowing them to identify and block altered malware.
Businesses that want to prevent the exfiltration of sensitive data and improve their defense against modern cyberthreats can consider a Zero Trust architecture.
The PCI DSS is an information security standard developed to enhance cardholder data security for organizations that store, process or transmit credit card data.
This brief contains three things the Board of Directors and the cyber risk committee should do to minimize risk and approach security with a prevention mindset.
This list details three ways to get the most value out of your security investments and achieve the goal of minimizing risk and preventing data loss.
OTHER TOPICS:
THREAT | ENDPOINT PROTECTION | CYBERSECURITY | RANSOMWARE | CLOUD SECURITY | DATA CENTER | FIREWALL | NETWORK SECURITY