Human Managed app hm.works 1.2 released with intel on detected behaviors
Since its first release on 13 March 2023, the Human Managed web app hm.works has been getting fresh updates every single week.
hm.works' 1.0 journey started with the most fundamental knowledge for any business that operates digitally: intel on existing digital assets (services, products, resources that are in digital form).
Then, hm.works' 1.1 added more intel on a business' digital assets, by reporting on the assets' state, or overall posture. An asset's posture is measured by the controls (checks, rules, policies) that are enabled on the asset.
And today, we are excited to deliver even deeper layers of intel on a business' digital assets: behaviors discovered and detected, which (positively or negatively) affect the business.
In our Behavior Report, hm.works tells you the 3 most important things you need to know about the behaviors observed and detected in your business:
- Do I have any baselines set to help me to understand the normal and abnormal behaviors in my digital environment?
- How much of my critical services, products, and resources are monitored with the behavior baselines?
- What abnormal behaviors are detected that requires my attention and action?
What's a behavior?
- What it is: a behavior is an event that indicates action(s) or reaction(s) in a specific environment.
- What it tells: What happened in a situation
- An example: A bank teller logs in at 9 a.m. using two-factor-authentication and accesses the app, adds multiple products to a cart
Why is knowing behaviors important to a business?
Behaviors reflect the many dynamic ways that various players and digital assets relate to each other. They provide you with validations and feedback on your hypotheses or perspectives on the world.
Knowing and identifying what behaviors are good vs. bad, usual vs. unusual, normal vs. abnormal gives you wealth of context-based intelligence to understand the complex environment and to make better informed decisions.
Just like the more you get to know someone and their behaviors, the more accurately you can predict their future behaviors, and the better you can react and respond to them in various situations.
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Let's explore each segment of the Behavior Report.
Behavior Baselines Established
What: This card reports the number of behavior baselines established over time and their breakdown for your digital services, products, resource variety, and customers
📗 Baseline is a collection of indicators made as a reference point. It tells you what is considered normal or abnormal behavior (e.g. Daily behavior of a bank teller; a service usage during Christmas season)
- Why: Behavior baselines establish profiled definitions of your organization's behaviors.
- How: Forward historical data that has organizational behavior data (e.g. device telemetry, application interactions) to the Human Managed platform for analysis and baselining.
Asset Baselines Activated
- What: This card reports the number of digital assets (service, product, resource, customer) that are monitored with the established baselines, and its trend over a period of time.
- Why: Observing and monitoring digital assets over time improves your visibility and intelligence of various interactions that happen in your organization
- How: Connect any of your digital service, product, or resource to the Human Managed platform as a data source to build your behavior monitoring capabilities.
Behavior Patterns Identified
- What: This card reports the number of unique behavior patterns identified by the baselines and their breakdown into volume, attack, and fraud types of patterns.
📗 Volume is a type of pattern that occurs from the quantity of a specific behavior or pattern. It tells you how many times the behavior happened. (e.g. number of logins per month; number of transactions during Christmas Eve)
📗 Attack is a type of pattern that attempts to compromise a digital asset. Attack behavior tells you how did an attack / campaign happen or what could happen. (e.g a carefully crafted e-mail message sent to a party with the intent of getting the receiver to click a link or open an attachment to deliver malware)
📗 Fraud is a type of pattern that attempts to compromise a business process or flow through deception. Fraudulent behavior tells you how a fraud happened or what could happen. (e.g. making a purchase using fake or compromised email accounts, user accounts, names, addresses, IP addresses and personal devices)
- Why: Having well defined behavior patterns improve your capability to detect and predict anomalies to either protect your organization from threats, or to act on opportunities.
- How: Forward historical data that has organizational behavior data (e.g. device telemetry, application interactions) to the Human Managed platform for pattern analysis.
Behavior Patterns on your Services
- What: This set of card reports the number and distribution of behavior pattern types (volume, attack, fraud) that are configured for detection on your organization's digital services, in the order of their criticality to your business.
- Why: Understanding behaviors from the perspective of digital services allows you to quickly assess the behavior detection coverage and gap for the services that matter most to your business.
- How: Connect any of your digital service, product, or resource to the Human Managed platform as a data source to build your behavior catalog. Update the digital services' criticality on the hm.works app.
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And that is hm.works 1.2! We will be releasing more features and updates regularly, so stay tuned.
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Want to discuss how we can help solve your cyber, digital, or risk operations through data?
Want a test run of the hm.works app?
Have any questions or feedback?
Please contact us at firstname.lastname@example.org.