Unlocking Identity Context with Risk-Based Access Control

identity context risk-based access control machine identity
Lalit Choda
Lalit Choda

Founder & CEO @ Non-Human Identity Mgmt Group

 
June 6, 2025 4 min read

Identity Context and Risk-Based Access Control

Identity context is a pretty big deal in modern security, especially when we're talking about risk-based access control (RBAC). (What Is RBAC? The Complete Guide to Role-Based Access Control) Knowing how identity context plays with machine identity and workload identity can really boost how secure your organization is. (What is a machine identity? - Article) This post is gonna break it all down so it's easy to get.

What is Identity Context?

Basically, identity context is all the little details that tell us who or what is trying to access something. Think of it like this:

  • User Role: What's this person supposed to be doing? Like, are they an admin or just a regular user?
  • Location: Where are they trying to access from? Is it their usual office or, you know, a random coffee shop across the country? This can really change the risk level. For example, accessing from an unusual geographic location might mean higher risk.
  • Time: When is this happening? Is it during normal work hours or in the middle of the night? Access requests outside of normal working hours could be flagged as higher risk.
  • Device: What device are they using? Is it a company-issued laptop or a personal phone they've never used for work before? Using a new and unrecognized device could also be a red flag.

These bits of info help us figure out how risky each access attempt is.

What is Risk-Based Access Control?

Risk-based access control (RBAC) is a security approach that looks at how risky an access request is. (What is Risk-based Authentication? | Silverfort Glossary) Instead of just saying "you have this role, so you get access," RBAC digs into the context of the request. Here’s the gist:

  1. Assess the Identity Context: We grab all the relevant details about who's asking for access.
  2. Evaluate Risk Level: Based on that context, we decide if it’s low, medium, or high risk.
  3. Grant Access Accordingly: We then either let them in, deny them, or maybe ask for more proof, depending on that risk assessment.

Steps in Implementing Risk-Based Access Control

  1. Define Policies: You gotta set up the rules that say how identity context affects who gets access.
  2. Monitor Access Requests: Keep an eye on who's trying to get to what, and from where, all the time.
  3. Evaluate Access Patterns: Use some analytics to spot weird access patterns that might mean trouble. For instance, multiple failed login attempts, trying to access stuff outside your usual job scope, or logging in from a new, unknown device are all things that might be flagged as unusual.
  4. Adjust Policies: Keep your access rules updated as new threats pop up and you learn more.

Comparison: Traditional Access Control vs. Risk-Based Access Control

Feature Traditional Access Control Risk-Based Access Control
Decision Basis User roles Contextual risk
Flexibility Low High
Security Level Static Dynamic
Response to Anomalies Limited Proactive

Types of Identities in Context

It’s important to know the different kinds of identities we’re dealing with:

Human Identity

These are your everyday users, the people logging in to use systems and applications. Their context can include things like their job title, their usual work hours, and the devices they typically use. The risk here often comes from things like phishing attacks or compromised credentials.

Machine Identity

This covers devices, servers, and other non-human entities that need access to resources. Think of IoT devices or servers that talk to each other. Their context might be their network location, their operating system, and whether they're running authorized software. Risks can involve unauthorized device access or compromised machine credentials.

Workload Identity

These are services or applications that perform tasks, often on behalf of users or machines. Examples include microservices in a cloud environment or background processes. Their context might be the cloud environment they're running in, the permissions they've been granted, and the APIs they're interacting with. Risks here can include insecure api access or compromised service accounts.

Each of these identity types has its own context and risks, which really shapes how we decide to grant them access.

Real-Life Example

Let's say there's an employee at a bank trying to get to some sensitive account info:

  • Identity Context: The employee is in a coffee shop, using their personal laptop at 8 PM.
  • Risk Evaluation: The context, specifically the unusual location (coffee shop) and device (personal laptop) outside of typical work hours, indicates high risk.
  • Access Decision: Because of this high-risk context, the system might ask for an extra verification step, like a code sent to their phone, or it might just deny access altogether.

Using risk-based access control lets organizations fine-tune their security based on the specific situation of each access request. This not only makes things more secure but can also make life easier for users by cutting down on annoying security checks when they're not really needed.

Mermaid Diagram: Risk-Based Access Control Process

Diagram 1

Lalit Choda
Lalit Choda

Founder & CEO @ Non-Human Identity Mgmt Group

 

NHI Evangelist : with 25+ years of experience, Lalit Choda is a pioneering figure in Non-Human Identity (NHI) Risk Management and the Founder & CEO of NHI Mgmt Group. His expertise in identity security, risk mitigation, and strategic consulting has helped global financial institutions to build resilient and scalable systems.

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