The Cybersecurity Bell Curve is an invaluable framework especially when it comes to securing Generative AI applications. As these applications become increasingly vital in various sectors, ensuring their security is paramount. The Bell Curve illustrates the importance of adopting a comprehensive approach to cybersecurity, starting with basic security hygiene. This foundational layer is crucial for protecting against 98% of attacks, making it an excellent starting point for any security strategy.
Generative AI applications, due to their complex nature and extensive data requirements, are particularly susceptible to a variety of cyber threats. By adhering to the principles outlined in the Cybersecurity Bell Curve, organizations can create a robust defense system. Implementing multifactor authentication, applying the principle of least privilege access, keeping systems up to date, utilizing antimalware solutions, and protecting data are all essential practices that form the bedrock of securing such sophisticated applications.
Key Points
Basic Security Hygiene Protects against 98% of attacks.
Includes the following practices:
Enable multifactor authentication
Apply least privilege access
Keep systems up to date
Utilize antimalware solutions
Protect data
Multifactor Authentication
Make it harder for attackers to use stolen credentials by enabling multifactor authentication. Authentication and authorization should consider user identity, location, device health, service, data classification, and anomalies.
Least Privilege Access
Prevent attackers from spreading by applying least privilege access principles. This limits user access with just-in-time and just-enough-access policies, risk-based adaptive policies, and data protection.
Keeping Systems Up to Date
Mitigate software vulnerabilities by ensuring devices, infrastructure, and applications are updated and correctly configured. Endpoint management solutions help enforce these policies.
Antimalware Solutions
Stop malware attacks by installing and enabling antimalware solutions on endpoints and devices. Cloud-connected services provide the most current detection capabilities.
Data Protection
Know where sensitive data is stored and who has access. Implement information protection best practices like sensitivity labels and data loss prevention policies.
Importance of Security Basics
Getting the basics right is crucial for protecting against 98% of attacks. Basic practices include:
Using multifactor authentication
Applying least privilege access
Keeping software and infrastructure up-to-date
Using anti malware
Protecting data
These basics are essential since attackers often exploit low-hanging fruit and easy targets. While focusing on securing Gen AI applications, it's vital to ensure the foundational security practices are in place.
[Want to discuss this further? Hit me up on Twitter or LinkedIn]
[Subscribe to the RSS feed for this blog]
[ Subscribe to the Bi-weekly Copilot for Security Newsletter]
[Subscribe to the Weekly SIEM and XDR Newsletter]
[Learn KQL with the Must Learn KQL series and book]
[Learn AI Security with the Must Learn AI Security series and book]
** Need a Tech break?? Sure, we all do! Check out my fiction novels: https://RodsFictionBooks.com
Share this post