Development Team Review Policies Systems Review Weak Development Team 
CIO
OCTOBER 25, 2023
On October 20, 2023, Okta Security identified adversarial activity that used a stolen credential to gain access to the company’s support case management system. Once inside the system, the hacker gained access to files uploaded by Okta customers using valid session tokens from recent support cases.
CIO
FEBRUARY 14, 2024
Data due diligence Generative AI especially has particular implications for data security, Mann says. Feed in your entire Slack or Teams history and you may end up with responses like, “I’ll work on that tomorrow,” which would be perfectly appropriate from human employees but aren’t what you expect from a gen AI system.
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TechCrunch
SEPTEMBER 30, 2022
“Short term, it might be more difficult to raise at valuations we have seen before the public market adjustment, but with a strong business model and an experienced management team that understands the market and growth KPIs, it is possible,” she said. How does the insurtech landscape in emerging markets compare to developed markets?
Perficient
APRIL 29, 2024
The concept of “being a servant” to your teams and treating employees as critical individuals to be cultivated and empowered, has strong merit. This can help managers support their teams, clear the path, and improve productivity by stepping out of the way as much as possible. Poor Communication – You’ve seen it before.
Kaseya
FEBRUARY 22, 2022
In this blog, we’ll discuss patch management policy best practices and explain how they contribute to a better patching environment for large and small organizations alike. What is a patch management policy? This is where patch management policies come into play. What is the importance of a patch management policy?
Tenable
DECEMBER 29, 2023
Their 2024 forecasts include: A bigger security role for cloud architects; a focus by ransomware gangs on OT systems in critical industries; an intensification of IAM attacks; and much more! Before issuing coverage, cyber insurers will conduct their due diligence process more stringently.
O'Reilly Media - Ideas
JANUARY 19, 2021
Difficult questions about compliance and legality often pour cold water on late-stage AI deployments as well, because data scientists rarely get attorneys or oversight personnel involved in the build-stages of AI systems. Examples: Alleged discrimination in credit lines ; Poor experimental design in healthcare algorithms.
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