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" ... Agents have the potential to scale up to hundreds of thousands or even millions of endpoints across an organization. Another benefit of the agent-based approach is that it works much faster. Historically, looking for anomalous activity would require a risk assessment which can take months to perform. An agent utilizing machine learning-based analytics can provide endpoint visibility within hours. ... "
" ... Although forecasts crunching historical data may work fine in normal times when markets are relatively stable, in anomalous times like today these trend-based models falter. In times of turmoil, leading indicators prevail. However, converting to driver-based analytics does come with risks. During a normal, stable market, developing driver-based analytics can be overkill, resulting in over-engineered models that require expensive data sourcing, cleansing and integration (i.e., “data ops”), and difficult to maintain algorithms. ... "
" ... Many are quick to denounce country music. Open a dating app, and it is not anomalous to see “anything but country” listed under “music preferences.” “country music is good,” a 24 year-old barista from Brooklyn writes under the prompt: “List an unpopular opinion!” ... "
" ... Two previously-named victims, Cisco and Palo Alto Networks, both of which are major providers of network and security tools, have said much the same. Palo Alto had to initiate two separate investigations back in September and October. The first appeared to label a Palo Alto server for further targeting, and a second a week later downloaded malware onto the system. Palo Alto said its own tools detected the malware by looking at its anomalous behavior, and so it was blocked. “Our Security Operation Center then immediately isolated the server, initiated an investigation and verified our infrastructure was secure. Additionally, at this time, our SOC notified SolarWinds of the activity observed. The investigation by our SOC concluded that the attempted attack was unsuccessful and no data was compromised,” the company said. ... "
" ... Users and entities are the next element. These are basically servers, workstations, laptops and any other network-connected devices, all of which exhibit some characteristic behaviors that can be used to identify them. For example, what roles they serve, what entitlements they have and what access is granted to them are all identifiable characteristics. How they interact with other entities and systems on a daily basis provides the baseline to pinpoint anomalous behavior. ... "