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This article is a contribution to the Azure Spring Clean event 2024. More information can be found at https://azurespringclean.com.
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming various domains of human activity, such as health, education, business, and entertainment. However, these technologies also pose significant challenges and threats to cybersecurity and privacy, as they can be used for malicious purposes, such as cyberattacks, espionage, or surveillance. Moreover, AI and ML systems themselves can be vulnerable to cyberattacks, as they rely on large amounts of data and complex algorithms that can be manipulated or compromised. AI and ML should not simply be seen as threats, however, as they provide many benefits in how they assist in recognizing and determining threats as well. Therefore, it is essential to understand the opportunities and risks of AI and ML for cybersecurity and privacy, and to develop effective strategies and policies to address them.
Before discussing the challenges and opportunities of using artificial intelligence and machine learning, it is important to understand what they are.
There are some risks and challenges to using AI and ML. Something to point out is that even though solutions that use AI and ML are somewhat intelligent and have learning capabilities, they also are programmed and created by humans. This makes them fallible by nature.
There are several risks that AI and ML technologies are used for when it relates to cyber-attacks. Cyber criminals use AI and ML techniques to extend the reach of their attacks and gain access to systems. AI and ML can also pose many risks for cybersecurity and privacy, such as:
Addressing these challenges, risks, and potential threats to create a positive impact with AI and ML is an opportunity to harness the power of these tools. Turning these potential risks into ways to better understand the role that AI and ML can play in increasing our ability to recognize potential attacks becomes a positive use of AI and ML going forward. Some of the ways that AI and ML can offer many opportunities for enhancing cybersecurity and privacy, include:
As stated previously, AI and ML solutions are created by humans and are fallible. Our responsibility it to be aware of the potential risks and take measures to protect our information and avoid exposing personal information. Some things to think about include:
AI and ML are powerful and promising technologies that can bring many benefits for cybersecurity and privacy, but also pose many challenges and threats that need to be addressed. Therefore, it is important to develop a balanced and holistic approach that leverages the opportunities and mitigates the risks of AI and ML for the cyber domain. This is realized by fostering collaboration, regulation, and education among various stakeholders, such as researchers, developers, practitioners, policymakers, and users. Microsoft continues to develop and create solutions that harness the capabilities of AI and ML. These solutions are focused on maintaining a secure environment that protects the privacy and integrity of information.
]]>This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Assess steps in the Risk Management Framework.
A-6 – Plan of Action and Milestones
SDLC – development/acquisition
After the assessment has been completed, you will be ready to move to authorize the security and privacy plan, and risk assessment package.
]]>This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Authorize steps in the Risk Management Framework.
R-5 – Authorization Reporting
This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Monitor steps in the Risk Management Framework.
M-7 – System Disposal
Continuous monitoring within your risk management framework creates a methodology for continuous authorization and assessment of security and privacy controls for the system.
]]>This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Implement steps in the Risk Management Framework.
This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Select steps in the Risk Management Framework.
S-6 – Plan Review and Approval
The Security and Privacy Plans are created within the select phase. After categorizing information and selecting the controls, it is time to implement those controls.
]]>This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Categorize steps in the Risk Management Framework.
FIPS 199
CMSS 1253
800-60 Impact Definitions
Low
Moderate
High
FIPS 199 Impact Definitions
After identifying the systems and categorizing information, you move to the Select process for controls.
]]>This is the series of articles to use as a study guide for the (ISC)2 CGRC exam. In this article, we will discuss the Prepare steps in the Risk Management Framework.
Secondary roles - Sr Agency ISO, Sr Agency Off for Priv, CCP, SO
The prepare tasks input to other tasks throughout the Risk Management Framework process. Unlike the remaining steps and tasks, prepare does not interact with the other steps in a linear manner.
]]>This is the first of a series of articles to use as a study guide for the (ISC)2 CGRC exam.
800-115 SP 800-115, Technical Guide to Information Security Testing and Assessment | CSRC (nist.gov) |
CIA Triad
800-39 FARM
Tiers of RMF
RMF Strategy
]]>More information can be found at the Azure Back to School site: https://azurebacktoschool.github.io
Azure Back to School is back again this year. Last year, we had enough participants to have 1-2 presentations daily for all 30 days of September. I’d like to have twice this many this year. Submit your sessions between 15 May 2023 and 14 July 2023. Sessions can be videos (pre-recorded or live stream) or blog articles or both. Sessions should have something actionable that the viewers can learn and execute on their own.
Submit your session here: https://sessionize.com/azure-back-to-school-2023/
EVERYONE IS ACCEPTED!! You will be notified before 1 August 2023.
First time speakers If you want a mentor, we can find one for you at https://www.speakingmentors.com/
Schedule will be online by 15 August 2023 at https://azurebacktoschool.github.io
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