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Key Security Challenges for Smart Offices and Their Solutions
ByKayne
“The future of work is not what we were collectively promised in the days before the pandemic. Despite being nearly two years into the global pandemic, organizations are still in the process of redefining how their offices should be used now and in the future, which has lead to a surge in the adoption of smart, digital technologies.”
Ask questions about Internet-connected toys
ByKayne
Experts say that smart toys are particularly vulnerable to cyber attacks. Kayne McGladrey, a member of the Institute of Electrical and Electronics Engineers, said their desire to keep toy prices low means manufacturers have little incentive to add reasonable security mechanisms.
Interview on diversity and security
ByKayne
Last month at the #ATTBizSummit, Javvad Malik and I talked about increasing diversity in cybersecurity, and I unveiled my secret weapon for tweets. (Spoiler: she’s 11).
eBook: Educated Endpoints
ByKayne
The proverbial endpoint is everywhere. Consumers have more IoT and mobile devices than ever before. Industrial IoT is becoming ubiquitous and IoT malware is as common as cell phones. While conveniences are making their way into every facet of life, so are malicious software, social engineering attack and all manner of bad actors.
Data loss prevention vendors tackle gen AI data risks
ByKayne
“Employees across industries are finding new and innovative ways to perform their tasks at work faster,” says Kayne McGladrey, IEEE senior member and field CISO at Hyperproof. “However, this can lead to the sharing of confidential or regulated information unintentionally. For instance, if a physician sends personal health information to an AI tool to assist in drafting an insurance letter, they may be in violation of HIPAA regulations.” The problem is that many public AI platforms are continually trained based on their interactions with users. This means that if a user uploads company secrets to the AI, the AI will then know those secrets — and will spill them to the next person who asks about them. It’s not just public AIs that have this problem. An internal large language model that ingested sensitive company data might then provide that data to employees who shouldn’t be allowed to see it.
Using AI Isn’t As Easy As It Seems
ByKayne
“Realistically, the use of AI in cybersecurity will help to reduce the punishing cognitive load on tier one analysts in the security operation center,” said IEEE Senior Member Kayne McGladrey. “Rather than having to comb through a needlestack looking for a needle, AI promises to automate much of the correlation across vast amounts of data that humans struggle with.”