Rootly, a startup developing a platform to help automate companies’ responses to incidents like website outages, today announced that it raised $12 million in a Series A funding round led by Renegade ...

Outlines five core cloud forensics capabilities for effective incident response: data depth, custody, automated collection, usability, and preparedness.

Comprehensive 80 incident response templates, playbooks, and scenarios that help teams build plans faster and strengthen cyber readiness.

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Imagine this scenario: You are a successful entrepreneur and business leader, having built a market-leading software company based on trust, innovation, hard work and great leadership. One day, you ...

Small and medium-sized organizations without a disaster recovery plan are 40% more likely to close their doors permanently after a disaster. Research from FEMA highlights this alarming reality, ...

Karen Scarfone is the principal consultant for Scarfone Cybersecurity. She provides cybersecurity publication consulting services to organizations and was formerly a senior computer scientist for the ...

In instructing the government to make "bold changes" and "significant investments" to defend the United States, the Biden administration's recent cybersecurity Executive Order was a welcome and ...

Cloud security is rapidly changing, and many organizations need help to keep pace and respond. Understanding cloud incident response management is important. A well-detailed cloud incident response ...

Invest and practice: Grant Oviatt, director of incident-response engagements at Red Canary, lays out the key building blocks for effective IR. The COVID-19 pandemic has highlighted the pressing need ...

Most often, any security breach related to computer and network security is considered an engineering problem, and companies try solving it through application of technologies. See Also: AI Arms ...

The University of Dayton (UD) maintains a sophisticated computing environment to support its diverse operations. Consequently, UD hosts large amounts of data, much of which is sensitive according to ...