IT - Email

"The protocol can help public sector agencies enhance email security and improve trust with residents and the private sector...

Humble email systems remain an attack vector for malicious cyberattacks on state and local governments, as evidenced by a recent attack on Missouri's state government.

At a state and local level, there are thousands of domains that could benefit from the protection and benefits of email authentication - three times as many as the number of federal domains. However, almost no state and local governments are properly availing themselves of authentication standards that could improve email protections, especially from phishing attacks..."

"With the open-source machine learning framework, Google can quickly modify its ML models to find the hardest-to-detect spam messages...

Google says it's blocking 100 million more spam messages a day in Gmail after advancing its machine learning models. Specifically, Google has used TensorFlow, its open-source machine learning framework, to more efficiently modify its spam detection features. That enables it to spot the hardest-to-detect spam messages, such as image-based messages..."

Feds Ahead In DMARC Adoption
GCN, February 4th, 2019

"When it comes to uncovering email spoofing, the federal government ranks higher than any other industry or sector, a new report finds.

Eighty percent of 1,300-plus U.S. federal domains now publish Domain-based Message Authentication, Reporting and Conformance records, considered a crucial first step in identifying false or impersonated email addresses, according to new research conducted by cybersecurity company VailMail, which sells online authentication tools..."

"U.S. federal government agencies and many major enterprises have made significant strides to thwart the spread of fake emails, a major cybersecurity attack vector. But many organizations remain susceptible because they're still not using readily available open standards-based technologies that prevent these fakes from reaching end-user inboxes..."

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