Contextual anomalies: These outliers depend on context. Your credit card bill probably fluctuates over time (due to holiday gift giving, for example). These spikes may look strange if you consider your spending in the aggregate, but in the context of the season, the anomaly is expected. Collec...
Vectors and vector-enabled databases are not new; they have long been employed for specialized use cases, such as mapping and data analytics. More recently, vector embeddings and vector databases have been used to find similar products, do biometric pattern recognition, detect anomalies, and in re...
Malicious macros are another common vector for fileless attacks. Apps like Microsoft Word and Excel allow users to define macros, sets of commands that automate simple tasks like formatting text or performing calculations. Hackers can store malicious scripts in these macros; when a user opens the f...
Here is another phishing example: As assistant to your company’s CEO, a spear phisher researches you on LinkedIn and creates a fake personal email account for your CEO. While the real CEO is out of town—and the attacker knows that, also from online research—they send you a spoof email...
When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection. Semi-supervised machine learning addresses the problem of not having enough labeled data to fully train a model. For instance, you might have large training data sets but don’t...
So, regardless of the type of data you intend to get accurate annotations for, you could find that veteran team in us to meet your demands and goals. Get your AI models optimized for learning with us. Let’s Talk First Name* Last Name* ...
Falcon Insight endpoint detection and response (EDR), another essential piece of the Falcon platform, looks for IOAs to stop attacks before data is lost. TheCrowdStrike Adversary Intelligencesolution aids incident investigations and speeds breach response by seamlessly integrating automatedthreat intelligence...
What is the main purpose of data analysis? In business, the main purpose of data analysis is to uncover patterns, trends, and anomalies, and then use that information to make decisions, solve problems, and reach your business goals. Related reading: How to get started with data collection ...
A common use of unsupervised machine learning is recommendation engines, which are used in consumer applications to provide “customers who bought that also bought this” suggestions. When dissimilar patterns are found, the algorithm can identify them as anomalies, which is useful in fraud detection....
"Tipping": This involves an insider sharing confidential information with another person (the "tippee"), who then trades on that information. Both the tipper and the tippee are liable for insider trading violations.9 Misappropriation: This is the word used when individuals who are not traditional...