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Machine Learning In Security: Seeing the Nth Dimension in Signatures
How adding “supervised” machine learning to the development of n-dimensional signature engines is moving the detection odds back to the defender.
Machine Learning In Security: Good & Bad News About Signatures
Why security teams that rely solely on signature-based detection are overwhelmed by a high number of alerts.
Why Your Security Tools Are Exposing You to Added Risks
The big lesson from 12 months of security product vulnerabilities: there’s no foundation of trust in any piece of software. They all represent a potential new attack vector.
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Everything You Need to Know About DNS AttacksIt's important to understand DNS, potential attacks against it, and the tools and techniques required to defend DNS infrastructure. This report answers all the questions you were afraid to ask.
Domain Name Service (DNS) is a critical part of any organization's digital infrastructure, but it's also one of the least understood. DNS is designed to be invisible to business professionals, IT stakeholders, and many security professionals, but DNS's threat surface is large and widely targeted.
Attackers are causing a great deal of damage with an array of attacks such as denial of service, DNS cache poisoning, DNS hijackin, DNS tunneling, and DNS dangling. They are using DNS infrastructure to take control of inbound and outbound communications and preventing users from accessing the applications they are looking for. To stop attacks on DNS, security teams need to shore up the organization's security hygiene around DNS infrastructure, implement controls such as DNSSEC, and monitor DNS traffic
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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