In a prior post, I outlined how to get started with Microsoft Copilot Studio and shared a few areas to focus on – one of which is security. Building on this, I wanted to expand on the security premise and offer two ways to view Copilot and security.
Securing Microsoft Copilot/AI
How do you ensure that AI solutions are secure and meet strict industry and compliance standards? This is a question that anyone within your company that sets up, manages, or administers security.
For many companies, that person is you. However, you may not have been trained or certified in various cybersecurity protocols, mitigating risk, or providing remediation should a breach occur. Yes, these seem like foreign concepts to some, but are the bread and butter of others. Even then, there are a few things to consider as part of your system administration.
- Secure the AI supply chain:
- Organizations must secure the entire supply chain and management of AI systems.
- This means that to truly secure the AI model, you need to account for securing machine learning (ML) models through academic adversarial machine learning, securing data ingestion, model training, and deployment pipelines, and establishing appropriate security policies.
- Ensure data privacy:
- Organizations must ensure that their AI systems are compliant with existing privacy, security, and compliance commitments.
- They must also ensure that the data accessed by AI systems is not used to train foundation LLMs, including those used by Microsoft Copilot for Microsoft 365.
- Implement a risk management framework:
- Organizations must implement a risk management framework that involves participation from each of the stakeholders, including AI researchers, machine learning engineers, security architects, and security analysts.
- The framework should comprehensively assess the security risk for an AI system and provide guidance on how to take remediation steps with guided suggestions.
Copilot as a Security Enabler
On the flip side, AI/Copilot can be used to strengthen your security posture and put you at an advantage – no matter the size of your company – to mitigate potential security risks.
Microsoft introduced its Microsoft Security Copilot to help with navigating security challenges. The solution provides a natural language, assistive copilot experience that helps support security professionals in end-to-end scenarios such as incident response, threat hunting, intelligence gathering, and posture management.
Further, it can swiftly summarize information about an incident by enhancing the details with context from data sources, assessing its impact, and guiding analysts on how to take remediation steps with guided suggestions.
What’s nice about this is that if you are asked for a summarization of what happened, it can generate ready-to-share executive reports on security investigations, publicly disclosed vulnerabilities, or threat actors and their campaigns
Closing Thoughts
While there is the buzz around Microsoft Copilot, keep in mind that this is still an AI solution at the core. So, it’s important to recognize the benefits and risks when using an AI-powered solution.
Additionally, it’s important to note that geographical locations around the world have unique (and sometimes very strict) rules for AI and data governance that should be complied with, such as GDPR and the European Union (EU) Data Boundary.
One last thing: How confident are you that your AI and data are secure within your company’s ecosystem?
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