Risk Appetite vs. Risk Tolerance

Let’s use a metaphorical scenario to create a vivid representation in words to understand the difference between risk appetite and risk tolerance in cybersecurity:

Imagine a Tightrope Walker:

Risk Appetite:

  • The tightrope walker is adventurous and daring, choosing to perform daring acrobatic moves on the high wire. This reflects a high-risk appetite, as the walker willingly embraces risks to entertain and impress the audience.
  • In the cybersecurity realm, this is akin to an organization willing to adopt cutting-edge technologies and innovations, taking calculated risks to gain a competitive advantage in the market.

Risk Tolerance:

  • Now, consider a safety net beneath the tightrope. This safety net represents the organization’s risk tolerance. No matter how adventurous the walker is, the safety net ensures that the consequences of a potential fall are limited and manageable.
  • In cybersecurity, this is analogous to an organization setting limits on the acceptable impact of a cyberattack. The safety net represents the organization’s ability to recover from the incident without suffering severe, unrecoverable losses.

Key Takeaway from this analogy:

  • The tightrope walker’s adventurous moves (risk appetite) showcase a willingness to take risks for the sake of performance.
  • The safety net (risk tolerance) represents a safety buffer, limiting the impact of a potential fall and ensuring a certain level of resilience.

In cybersecurity, just like the tightrope walker needs both a daring spirit and a safety net, organizations need a balance between risk appetite (willingness to innovate and take risks) and risk tolerance (ability to manage and recover from the consequences) for effective and resilient cybersecurity management.

In the context of cybersecurity, risk appetite and risk tolerance are two related but distinct concepts that play a crucial role in managing and mitigating potential risks. Let’s break down the differences between them with simple examples that may be helpful for the CISSP exams:

Risk Appetite:

  • Definition: Risk appetite refers to the amount and type of risk that an organization is willing to accept or tolerate in pursuit of its business objectives. It reflects the organization’s willingness to take on risk to achieve its goals.
  • Example: Imagine a financial institution that decides to expand its online services to attract more customers. The organization may have a high risk appetite for technological innovation to gain a competitive edge. They might be willing to accept a higher level of cybersecurity risk associated with implementing new technologies, knowing that the potential rewards outweigh the risks.

Risk Tolerance:

  • Definition: Risk tolerance is the level of risk that an organization is willing to endure or the amount of loss it can withstand without significantly impacting its ability to achieve its objectives. It is more about the organization’s ability to bear the consequences of a risk event.
  • Example: Continuing with the financial institution example, even though they have a high risk appetite for adopting new technologies, they may have a low risk tolerance for potential financial losses due to cyberattacks. In this case, the organization sets a limit on the acceptable level of financial impact, ensuring that it can recover from an incident without compromising its overall stability.

Key Differences:

  • Focus: Risk appetite is about the willingness to take risks to achieve objectives, while risk tolerance is about the ability to endure the consequences of a risk event.
  • Decision-Making: Risk appetite guides strategic decisions on how much risk an organization is willing to take to meet its goals. Risk tolerance influences operational decisions by setting limits on acceptable losses.
  • Flexibility: Risk appetite can change based on business objectives and market conditions. Risk tolerance tends to be more stable and is often set within defined parameters.

In summary, risk appetite is the organization’s proactive approach to risk-taking, while risk tolerance is its reactive capacity to absorb the impact of risks. Both concepts are integral to effective risk management in the cybersecurity domain.

Here’s a table summarizing the key differences between risk appetite and risk tolerance in the context of cybersecurity:

AspectRisk AppetiteRisk Tolerance
DefinitionAmount and type of risk an organization is willing to accept or tolerate in pursuit of its objectives.Level of risk an organization can endure or the amount of loss it can withstand without significantly impacting its objectives.
FocusWillingness to take risks to achieve objectives.Ability to endure the consequences of a risk event.
Decision-MakingGuides strategic decisions on how much risk the organization is willing to take.Influences operational decisions by setting limits on acceptable losses.
FlexibilityCan change based on business objectives and market conditions.Tends to be more stable and is often set within defined parameters.
Time HorizonForward-looking, influencing future risk-taking decisions.Backward-looking, determining the organization’s capacity to absorb past or current risks.
ExampleA financial institution with a high-risk appetite for technological innovation to gain a competitive edge.The same financial institution has a low risk tolerance for potential financial losses due to cyberattacks.
PurposeGuides the organization in proactively managing risks to achieve its goals.Defines the organization’s ability to recover from and absorb the impact of risks.

Understanding these distinctions is essential for effective risk management and is likely to be beneficial in the context of the CISSP exams. Best of luck for your CISSP Exam!!!

Spectre and Meltdown

Spectre: Spectre is a type of security vulnerability that exploits speculative execution in modern computer processors. In simple terms, processors try to predict what tasks they’ll need to do next to speed things up, and Spectre takes advantage of this prediction process. It’s like guessing what the chef is going to cook next and using that information to learn about recipes that are supposed to be kept secret.

Picture the chef as your computer’s brain, and it’s very clever. Spectre is like someone peeking through the kitchen window and trying to see what the chef is cooking. Even though the chef is doing a good job cooking different things separately, Spectre tries to spy and see what’s happening in the kitchen. It’s a bit like trying to read a secret recipe.

Or, imagine you’re in a library, and you want to borrow a book. The librarian, in an effort to be efficient, tries to guess which book you might want next based on your previous choices. Spectre is like someone cleverly listening to these guesses and trying to figure out your reading preferences. Even though the librarian is just trying to be helpful, Spectre exploits this guessing game to learn more about your private book choices.

Meltdown: Meltdown is another security flaw related to how modern processors handle memory isolation between different applications. Normally, one program’s data is kept separate from another’s, but Meltdown could allow one program to access the memory of another. In our chef analogy, it’s like one recipe being able to sneak a peek at the secret ingredients of another recipe even though they’re supposed to be kept private.

Now, Meltdown is like a troublemaker who figures out a way to listen in on the chef’s thoughts while they’re cooking. The chef keeps some secret ingredients in their head, and Meltdown tries to sneak in and hear what those ingredients are. It’s a bit like trying to eavesdrop on someone’s private conversation.

Alternatively, think of your computer’s memory like a set of locked drawers, and each drawer contains information for a specific program or application. Meltdown is like a sneaky character who finds a way to open drawers that they’re not supposed to access. Even though each program’s information is meant to stay private, Meltdown can sneak into the drawers and take a look at the contents, breaking the usual rules of privacy.

In both cases, these security vulnerabilities involve exploiting the normal, helpful operations of a system to gain access to information that should be kept private. The challenge is to find ways to fix these issues without slowing down the system too much. Both Spectre and Meltdown are intricate issues related to the inner workings of computer processors, and they highlight the challenges in maintaining the balance between speed and security. Fixes for these vulnerabilities often involve changes to how processors handle speculative execution and memory isolation to prevent unauthorized access and information leakage. In computer terms, Spectre and Meltdown are ways that clever “bad guys” might try to sneak a peek at what your computer is doing, even when it’s supposed to keep things private. Luckily, computer experts are like superhero chefs who work hard to fix these problems and keep our computers safe by adding special shields and locks to the kitchen (computer) so that the sneaky peekers can’t get in.

For Complete Explanation: https://www.youtube.com/watch?v=1V4jHVoSQw4

CISSP Series Domain3 Episode 15 – Mathematical Relevance in Security Models and Real Life

Hey there! In this video, I’m diving into the intriguing question of how mathematics relates to the real world. This question has come my way quite a few times, even when I was teaching algebra to my kids. We often use math in our daily lives, whether it’s basic arithmetic or more advanced concepts like algebra.

Mathematics plays a vital role in various fields, especially engineering marvels that rely on calculus and algebraic equations. These equations are essential for understanding complex systems and even the fundamental nature of the world around us. I’m gearing up for some exciting discussions in domain 3, focusing on mathematical models and constructs.

We’ll explore security models like Bell-La-Padula, Biba, Clark Wilson, and Lipner. There are two ways to understand these models: one is to grasp their outcomes, while the other involves delving into the intricate mathematical foundations. While the latter can be complex and often presented in a rather dry, academic manner, I’ll do my best to make it engaging for you.

Before we dive deep into mathematical models, let me provide a brief answer to the fundamental question: What is the relevance of mathematics and mathematical models in our daily lives? If you look closely, you’ll realize that our world, from the vast universe to our planet Earth and our human experience, is governed by laws.

These laws can be broadly categorized into natural laws and man-made laws. Natural laws, like gravity, are based on principles, and these principles follow a logical structure. To understand these principles and the logic behind them, we use tools, and one of the most powerful tools we have is mathematics. It allows us to create concepts and mental models that help us comprehend the underlying logic of these principles. In essence, mathematics is the key to unlocking the laws of nature.

Take gravity, for example. By applying mathematical equations, we can calculate how celestial bodies like the sun, moon, and planets interact. Mathematics provides the bridge between the abstract principles of nature and our real-world understanding.

Another simple example is the number system. We’ve invented numbers to make sense of the discrete nature of objects around us. From counting mangoes to measuring distances in meters or masses in kilograms, mathematics is the foundation upon which we build our understanding of the world.

So, to sum it up, mathematics is the language that helps us decipher the laws of nature and create models that drive scientific discoveries, technological advancements, and the marvels of our modern world. In the upcoming videos, we’ll delve deeper into mathematical models, including the Bell-La-Padula (BLP) model, exploring sets, relations, and functions. There’s a lot of intriguing content ahead, so stay tuned! And for those of you preparing for the CISSP exams, best of luck – I’m here to help you navigate the complexities of these topics.

🎯 Fault Tolerance vs. System Resiliency

🎯 #CISSP Tips

🎯 Fault Tolerance vs. System Resiliency

🎤 Words have some intrinsic meanings, and based on its genesis (etymology) it inherits certain story/context. Interestingly, at times while language evolves and is conditioned across different cultures, meanings of words also travels in the invisible cosmos of human consciousness, making it a subject of change over times.

📚 CISSP demands the visualisation of definitions in certain context. Take the example of MTTF. MTTF is a rough indication of End-Of-Life of a system. However in CISSP-verse this is taken in the context of “backup tapes” indicating “the number of times a tape can be reused before removing it from the service”. This context confirms the EOL definition, but is more specific. Moreover you get the mental picture in your mind to stick this term with a magnetic tape.

🍀🌻🌴 This is crucial to know the “context” if we wish to pass the exam. Context for the definitions helps you to have a story in mind which keeps the definition alive. If you lose the story, you lose the definition. Think of the definition as a “fish” and the story as a nice “aquarium”. You lose the aquarium, you lose the fish. Think again, what mental picture you get when someone speaks BCP, DRP, IRP etc. If you do not get a picture, your definitions is bound to get forgotten over time.

🦠 ✈️ Past few years were all news with COVID and travel restrictions. Coming back to the topic with some relevant example. If you get COVID virus exposed to you and your fitness is intact, it means you have COVID tolerant immunity. However, if you get ill and got recovered, we can say that you have COVID resilient health. Similarly, a twin-engine aeroplane is a fault tolerant system, in a way if one engine fails, other engine will take over. This makes the aeroplane a crash resilient transport in the context of engine failure. You will realise with these examples that system resiliency is dependent on its component’s fault tolerance. I can safely say that resiliency is a function of tolerance.

Resiliency = f (tolerance)

🧮 This makes tolerance an independent variable, without it resiliency will not be possible. This interdependence is something I came up with and you can comment if you feel some example of tolerance free resiliency.

🪐 In CISSP-verse, talking about disks-mirroring is a fault tolerance feature, which will give rise to system resiliency for data availability. You may also think of dual power supply as a power fault tolerant mechanism which will give rise to system resiliency to power outages. I hope this make sense. You can provide feedback if you feel otherwise.

🧎‍♂️Thinking on the same line, a quote just took shape in my mind: You are resilient to self destruction if you have high tolerance to anger. Think and be cool while preparing CISSP. Happy Learning.

#cissptraining

CVE-2021-44228 – Log4Shell/Log4J

🪢 There has always been this tug-of-war between what is “comfortable” vs. what is “healthy”, since ages, and has been more of discussion with technology proliferation in our day to day affairs.

👨🏻‍💻 Software developers, while documenting and logging an application’s physiology, tend to be creative and use “variables” in making the program’s footprint more meaningful.

🤗 This is exciting, I mean how helpful it is to read and refer software logs if it contains useful runtime informations. In simple terms, knowing current directory, resource utilisations etc. while writing a piece of information in software logs bears enormous intelligence.

🎯 Personally I am a fan of using this methodology. I am not a software developer, but used this technique in automating alerts for link latency, resource utilisation using SolarWinds NPM. Back in year 2007-2008 I learned SolarWinds from Rajiv Bahl. I was mesmerised by the innovative approaches he used in using MS Visual Basics in demonstrating resiliency in key network components, animated presentations for packet flow, and most importantly harnessing the power of SolarWinds’s SQL database (in using key tables) in forming SLA reports. I took this inspiration and learning to level next in automating link latency alerts. So the boring latency, flap, jitter alerts were replaced with formally drafted email alerts starting with “Dear Team, I am ROUTERXXX…” and having a body of message embedding key values of troubleshooting importance, being called using SQL queries.

🧞‍♂️ This was magic. When I did this alert automation for call centre links and an automated SMS/Email when latency exceeds 170ms from Sydney to Mumbai; was highly appreciated by service management team. We were more proactive, excellent customer satisfaction, and I secured an “innovation Award” for that quarter.

🧐 When I look back, I see myself so charged with innovation and undermining security challenges it brings home. With CISSP, my lens changed so my frame of reference and I started to think these past memories from a totally new frame of reference. I don’t see it was bad from a security standpoint, but this Log4J, kind of rekindled my past life of using variables and bringing automation-driven intelligence to logging.

📚 The details are already documented here: [https://www.cygenta.co.uk/post/log4shell-in-simple-terms], and I will encourage people to read this excellent piece for a quick understanding.

🧪🔬 Using variables gives great power and ease. It make us use information in more intelligent way saving huge time and effort, but this ease comes at the cost of misusing these variable driven intelligence mechanism.

Log4J/Log4Shell is a classical example of this paradox we are faced with. Some enjoy ease and innovations, other enjoy exploitation and evil; and some stands guarding the castle. This is IT and every one enjoys what they love the most.

#security #log4j #log4jvulnerability #cissp #ccsp #solarwinds #grc #technology