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Hello, cybersecurity enthusiasts! Brian Ahern, CEO of CyberMaxx, here with another roundup of LinkedIn content.
While there were only two posts this week, they covered a critical topic on everyone’s mind: Artificial intelligence (AI). To make it easy for our valued customers, partners, and other stakeholders, we’ve provided all these excellent insights in one educational blog post.
So, without further ado, here’s a summary of both posts, plus links to access the full LinkedIn article.
AI-Powered Chatbot Cyber-Risks
In a post on July 23rd, I highlighted the increasing popularity of AI chatbots for handling customer inquiries, providing information, and task automation. However, with such prominent technology come cybersecurity risks. Some of these include:
- Data breach and privacy concerns if sensitive information is exposed or a chatbot doesn’t meet privacy regulations
- Increased sophistication of threats through attack automation or more advanced techniques
- Broader attack surface through new tools added to the stack
- Potential for business impact from attacks on chatbots
- Misinformation and data manipulation campaigns
- Legal and compliance risks
- An evolving threat landscape from emerging threats
Then we pivot to potential attack paths that come with AI chatbots. Phishing and social engineering, for instance, could increase through criminals impersonating or reprogramming chatbots. Chatbots also provide another way to distribute malware and DoS attacks. We also can’t overlook how AI tools provide new channels for unauthorized access and exploitation, which will come with nuanced compliance and legal issues.
Check out the full LinkedIn article here.
Mitigation Approaches for AI Chatbots & the Importance of MDR
In my July 24th post, I alluded to my previous post just a day prior (see above). This time, instead of focusing on the risks, I cover mitigation measures for AI chatbots. For example:
- Authentication and authorization mechanisms
- Data encryption
- Access controls
- Regular security audits and pen tests
- User education
- Detection and response tools for anomalies
- Data encryption for secure communications
- Managed detection and response (MDR) services
I then focused on how important MDR is for robust security. Anyone deploying AI chatbots can benefit from MDR for detecting, responding to, and mitigating cyber risks while also checking compliance boxes. Finally, I close by listing out all the ways MDR can help your business securely deploy AI chatbots:
- Integration with current systems and tech stack
- Continuous monitoring
- Threat intelligence and detection
- Incident response and remediation
- Vulnerability management
- Compliance and reporting
- User and entity behavior analytics (UEBA)
- Phishing and social engineering defense
- Log and event management
Check out the full LinkedIn article here
