Previously, we’ve introduced the CIA Triad and the components of its acronym: Confidentiality, Integrity, and Availability. We’ve already covered Confidentiality and Integrity, this time we’re going to cover Availability.

In the trinity of information security principles, known as the CIA Triad, ‘Availability’ is the leg that is most often easily attacked by “script kiddies” or ruined by our own success. Today, let’s unravel what Availability means in information security, its real-world significance, and the fallout when it’s compromised.

Understanding Availability

In the context of information security, Availability refers to ensuring that information and resources are accessible to authorized users when needed. It’s not just about having data; it’s about having data ready for use, unhindered by obstacles like system failures, cyberattacks, or natural disasters.

Ensuring Availability

Redundant Systems

These are backup systems that kick in when the primary system fails, ensuring continuous access to data. This would be very important if your system has a failure due to hardware failures. Do you have the ability for your active system to switch to another hot system, a warm system, or even a cold site? How quickly?

Regular Maintenance and Updates

Keeping systems updated and well-maintained to prevent downtime caused by software or hardware issues. Best way to stay out of trouble is to avoid trouble. You need to make sure you’re patched and your equipment is running well, as well as relying on things like SMART for hard drive health. This is also where knowing metrics like MTTF (Mean Time to Failure) are important. If you have components that are coming up on their expected shelf-life, you need to start mitigating now.

Disaster Recovery Plans

Preparing for the worst – from cyberattacks to natural disasters – to ensure rapid restoration of services. What do you do if something happens to an entire site? That can mean your local power grid if you’re self-hosting, or issues with cloud regions with the big providers (it happens… more than we’d like!). Just like with Redundant Systems, you should have Redundancy at both the micro and macro level for your system.

Real-World Examples

E-Commerce Platforms

Imagine an e-commerce site crashing on Black Friday. The lack of availability can lead to significant financial loss and customer dissatisfaction. All “scale-based” attacks don’t have to be Denial of Service (DOS) or Distributed Denial-of-Service (DDOS). Sometimes, you can DOS yourself by running a huge promotion or you can get squished by going viral on a site like Reddit.

Healthcare Systems

In healthcare, system availability can be a matter of life and death. If medical staff can’t access patient records promptly, patient care could be compromised. This is true at every leg of the chain. You don’t have to look too far into the past to remember the Healthcare.gov debacle where literally hundreds of millions of dollars were spent on a site that couldn’t stand up to everyone trying to sign up for “Obamacare”. You’d think those millions could buy you a few people who had worked at Facebook, Twitter, Reddit, Netflix, or somewhere where they might have had an idea how to ensure Availability through hard-learned lessons, but apparently not.

Banking Services

If an online banking platform is unavailable, customers cannot perform transactions, leading to frustration and potential financial complications. We just take this one for granted because banks have gotten so good at this, but imagine if you went to the store and tried to use your card and your bank (and just your bank) wasn’t playing ball today. I’ve been in stores where the “Credit Card Machine” was down, but I can’t think of one time that I couldn’t use my banking features due to my bank having an issue. I’m not saying it never happens, but this might just be the rarest version of this because they take Availability very seriously.

The Consequences of Poor Availability

When systems aren’t available, the consequences can be dire. We covered that a little bit with the real world examples, but here are some consequences boiled down:

Loss of Revenue

For businesses, downtime often translates directly into lost revenue, especially for services that depend on continuous online presence.

Damaged Reputation

Customers expect reliability. Frequent downtimes can tarnish an organization’s reputation and erode trust.

Operational Disruption

In sectors like manufacturing or logistics, lack of availability in information systems can lead to halted production lines or disrupted supply chains.

Protecting Against Availability Threats

To safeguard against threats to availability, organizations should:

Invest in Robust Infrastructure

This includes not only having backup systems but also ensuring that the infrastructure can handle high loads and resist cyberattacks. This one can be expensive, so a lot of people short change it at the beginning of their journey. “I can barely afford one server, how can I afford to pay for a second one I may never need?” I get it… but accepting a risk doesn’t make it go away. This is one that you’ll want to mitigate as soon as possible.

Implement Effective Monitoring Systems

These systems can alert administrators to potential issues before they cause downtime. Have you ever wondered what people are doing in Network Operations Centers (NOCs) and Security Operations Centers (SOCs)? This.. they are doing this. They are keeping their fingers on the pulses of all of the logs and metrics behind the systems, hoping to find signs of intrusions and failures and prevent them or respond as soon as possible.

Regularly Test Recovery Procedures

Regular testing ensures that, in the event of a system failure, the recovery processes are effective and efficient. Netflix has their Chaos Monkey code that just randomly shuts stuff off to ensure they can handle that happening regularly. They were the first company I heard of doing such a thing. They’ve since open-sourced it to share with others to potentially make everyone stronger. According to them, “Chaos Monkey randomly terminates virtual machine instances and containers that run inside of your production environment. Exposing engineers to failures more frequently incentivizes them to build resilient services.” Yep.

Conclusion

The ‘A’ in the CIA Triad – Availability – is a crucial component of information security. In our interconnected world, where we depend on instant access to information, ensuring that this information is readily available is as important as keeping it secure and intact. Knowing how to keep your systems running in the face of all that the world has to throw at you is vitally important and something you need to consider with your technology decisions.

Previously, we’ve introduced the CIA Triad and the components of its acronym: Confidentiality, Integrity, and Availability. We’ve already covered Confidentiality and this time we’re going to cover the often overlooked Integrity.

In the world of information security, the CIA Triad is a model designed to guide policies for information security within an organization. While Confidentiality and Availability often steal the spotlight, today, we’re focusing on the often-understated ‘I’ of the triad: Integrity. It’s all about maintaining the trustworthiness and accuracy of data. Let’s explore why Integrity is pivotal and the real-world implications when it’s compromised.

What is Data Integrity?

Data Integrity in information security refers to the reliability and trustworthiness of data throughout its lifecycle. It’s about ensuring that information remains unaltered from its source to destination as well as during storage, retrieval, and processing.

Means of Ensuring Data Integrity

Here are some of the practical ways that we can ensure data integrity:

Hashing and Checksums

These are mathematical algorithms that create a unique digital fingerprint of data. Any alteration to the data changes this fingerprint, indicating a potential compromise. For sensitive files, you can create a checksum when the file is created. You publish those checksums and when you download the file or access it again, you can recreate the checksum and see if they match. This is very common when downloading software from reputable sites.

Access Controls

Limiting who can alter data ensures that only authorized personnel can make changes, reducing the risk of malicious alterations. This one can be a little less obvious, but basically it is a lot harder to add an article to NyTimes.com than it is to edit a Wikipedia page or publish a post on Reddit. That helps ensure that NyTimes.com contains only the information the owners want it to and ensure that it isn’t changed to represent something different from that.

Version Control Systems

These systems track changes to documents or codebases, allowing the recovery of earlier versions if unauthorized changes are detected. If you’re a software developer, this isn’t only Git or the equivalent. This also includes Track Changes in MS Word and file versioning inside something like DropBox or Sharepoint. Because every change is tracked and the details are recorded, this makes it less likely that the change can go unnoticed, or that it would become irrevocable.

Real-World Examples

When and how would we see this in play? And why would we care in our personal lives? Consider:

Financial Transactions

Imagine transferring money online, but the transaction details are altered, sending your funds to a hacker’s account. If integrity checks didn’t exist along the way, no one would know where the transfer went or that it wasn’t your original intentions. Integrity controls in banking systems are crucial to prevent such occurrences.

Healthcare Records

A patient’s treatment plan is based on their medical history. If this data is altered, it could lead to incorrect treatments, posing serious health risks. If there was no integrity around the records, imagine the disaster that could occur if a malicious agent removed dealdly allergies from a patient’s file. The patient could easily die.

Legal Evidence

In legal proceedings, the integrity of evidence is paramount. Any tampering with digital evidence can lead to wrongful convictions or acquittals. This is the same deal as the Healthcare Records. What if someone could create/update/delete evidence or even just tamper with the chain of custody documents to have the evidence thrown out?

The Consequences of Compromised Integrity

When data integrity is breached, the results can be catastrophic:

Financial Loss

In the business world, altered data can lead to incorrect financial decisions, affecting a company’s bottom line. You could topple markets if you could change the data in financial reports published to the market.

Mistrust and Reputation Damage

When data integrity is compromised, it can erode trust in an organization, damaging its reputation and leading to loss of customers or partners. How long would you stay with an organization that greeted you by the wrong name when you signed in, showed the wrong order history, and the wrong demographics? Or if the doctor discussed procedures or diagnoses that never occurred? You’d be out in a minute, talking bad about them to anyone who would listen!

Legal and Compliance Issues

Many industries have regulatory requirements for data integrity. Violations can lead to legal penalties and fines. Imagine if SEC reports, EPA reports, OSHA reports all contained incomplete or erroneous data. Someone would be on Larry King in bad way.

Protecting Against Integrity Threats

So now we know what can happen if we do it wrong, but how do we do it the right way? Protecting the integrity of data involves:

Regular Audits and Monitoring

Regular checks can detect and rectify any integrity issues before they escalate. This assumes that you know the “truth” to compare things to. This includes looking for data changes, unauthorized file access, revisiting permissions regularly, and taking Blue Teaming seriously.

Education and Awareness

Training staff on the importance of data integrity and the risks associated with data tampering. People don’t know what they don’t know. You have to make sure your staff is aware that this is important and that they follow procedures around Integrity.

Implementing Robust Security Protocols

This includes using encryption on your data, robust access controls, and secure backup systems.

The integrity of data is a cornerstone of information security. As more and more of our personal and professional lives are online, the accuracy and reliability of our data are more critical than ever. Understanding its importance, implementing measures to protect it, and being vigilant about potential threats are key steps in safeguarding the integrity of our information.

In a world where data drives decisions, let’s ensure the decisions are based on uncorrupted, trustworthy information.

During our introduction in the last blog post, we mentioned the “CIA Triad” and gave a quick rundown about what it is. As a reminder, it’s not related to any government agency; rather, it stands for Confidentiality, Integrity, and Availability – three pillars of infosec. Today, let’s zoom in on the first pillar – Confidentiality – and unpack its significance, with a sprinkle of real-world examples and what happens when it fails.

In the simplest of terms, confidentiality in information security refers to the practice of ensuring that information is not made available or disclosed to unauthorized individuals, entities, or processes. It’s about access and exposure control. Whether it is personal data, corporate secrets, or sensitive government information, confidentiality aims to keep it under wraps from those not cleared to view it.

The Mechanisms of Ensuring Confidentiality

Encryption

This is the process of encoding information so that only authorized parties can decode and access it. When you send an encrypted email, for instance, you’re ensuring that only the intended recipient with the right key can read it. Confidential data should always be encrypted at rest and in transit.

Access Controls

These are policies and technologies used to restrict access to data. Some examples passwords, biometric scans, or even simpler methods like locked file cabinets. Basically, we know that certain people are only allowed to access certain information. How do we first create a yes/no list and secondly, how do we make sure that you’re the person represented on the list?

Data Classification

By categorizing data based on its sensitivity, organizations can apply appropriate confidentiality controls. This is the easiest way to apply access controls broadly.
Pete can see public data and sensitive data, but not confidential or proprietary data. Luke can see public, sensitive, and confiential, but not proprietary. Jayson can see all kinds. Appropriate classifications can make access easier to maintain.

Real-World Examples

Healthcare

Under regulations like HIPAA in the U.S., patient health information must be kept confidential. Hospitals use secure databases with strict access controls to store patient records.

Banking

Financial institutions employ encryption to protect customer data during transactions. Your online banking session is an example where confidentiality is key to safeguard your financial information.

Legal Sector

Attorney-client privilege is a form of confidentiality. Communications are often encrypted to protect sensitive legal information from being accessed by outside parties.

The Consequences of Confidentiality Breaches

Now, what happens when confidentiality fails? The repercussions can be severe:

Identity Theft

If personal information like social security numbers or credit card details is leaked, individuals can face identity theft, leading to financial loss and a long road to credit recovery.

Corporate Espionage

For businesses, a breach of confidentiality can mean leaking trade secrets, resulting in a competitive disadvantage or even financial ruin.

National Security Threats

On a larger scale, if government secrets are exposed, it can lead to threats against national security and diplomatic relations.

Preventing Breaches of Confidentiality

The key to preventing breaches is a proactive approach:

Regular Training

Regularly educating employees on the importance of confidentiality and how to maintain it.

Up-to-Date Security Measures

Continuously updating security protocols and software to combat evolving threats.

Incident Response Planning

Having a plan in place in case a breach occurs, to minimize the damage.

Conclusion

In our increasingly digitized world, the importance of maintaining the confidentiality of information cannot be overstated. As individuals and organizations, understanding and applying the principles of confidentiality is not just a best practice but a necessity in safeguarding our data and, by extension, our digital identities.

Remember, a chain is only as strong as its weakest link. Let’s ensure confidentiality is a robust link in our information security chain.