Applications Development Team Review 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
When you think about all the blocking and tackling a CIO needs to do for regular applications, that especially applies to AI.” Data due diligence Generative AI especially has particular implications for data security, Mann says.
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Datavail
AUGUST 4, 2021
The AWS Auto Scaling feature lets you define rules to automatically adjust your capacity, so the system never goes down due to heavy demand. Before executing any cloud migration, organizations need to perform due diligence and develop a clear strategy. Retiring applications that are no longer used or necessary.
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! As a result, we’ll see more cloud architects assuming responsibility for the security of their applications.
Modus Create
JUNE 1, 2020
Everyone knows information security is important: from tuning web application firewalls, to ensuring we have a disaster recovery plan, to deploying vulnerability scanning. The news is filled with tales of hackers breaking into financial institutions, DDoS attacks on credit card companies, and data breaches due to poor software configuration.
CircleCI
NOVEMBER 28, 2022
Earlier this year, CircleCI added GitLab as the third version control system that we support, in addition to GitHub and Bitbucket. My team chose to silently launch GitLab availability so we could gather early feedback and make improvements before releasing the experience to all users. The silent launch period. Delivering value quickly.
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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