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As the 104th season of the National Football League kicks off, expect cyberattacks aimed at its customers, players, and arenas.

As you might have already seen this quarter, we are committed to moving forward with the Artificial Intelligence (AI) movement that Cisco is prioritizing. A type of Evolution that is going to require each of us to leave a mark as we work together to stay relevant, innovative, and competitive.

In an earlier diary [1], I reviewed how using tools like DBSCAN [2] can be useful to group similar data. I used DBSCAN to try and group similar commands submitted to Cowrie [3] and URL paths submitted to the DShield web honeypot [4]. DBSCAN was very helpful to group similar commands, but it was also very useful when trying to determine whether commands from one honeypot were seen in another. How much overlap in attack data is there between honeypots? Is there any targeting based on the hosting location of the honeypot?

To prevent this, organizations should focus on developing secure hardware and firmware foundations, enabling them to manage, monitor, and remediate hardware and firmware security.

AIOps, powered by AI, transforms IT operations, revolutionizing industries and driving operational excellence. Are you ready to lead the charge?

Aside from enabling the monitoring of hacking operations, Recorded Future's threat intelligence platform has also been touted to facilitate the discovery of misconfigured and vulnerable systems, as well as at-risk third-party infrastructure.

Nearly $5 billion of the reported losses — which also stemmed from call center fraud, tech support scams, and government spoofing — were attributed to the U.S., with California, Texas, Florida, and New York having the highest damages across the country, a report from the FBI's Internet Crime Complaint Center showed.

Details regarding the targets of the indictment were not provided but such a move comes as the Justice Department committed to bolster transparency about election-targeted foreign influence threats after being less open about Russian interference during the 2016 polls.

Infiltration of TfL's internal systems on September 1 resulted in the exfiltration of some customers' names and contact information, as well as refund data belonging to nearly 5,000 Oyster cardholders.