Near-identical password reuse occurs when users make small, predictable changes to an existing password rather than creating a completely new one. While these changes satisfy formal password rules, they do little to reduce real-world exposure. Here are some classic examples: Adding or changing a number Summer2023! → Summer2024! Appending a character Swapping symbols or capitalization Welcome! → Welcome? AdminPass → adminpass Another common scenario occurs when organizations issue a standard starter password to new employees, and instead of replacing it entirely, users make incremental changes over time to remain compliant.
An FBI informant helped run the Incognito dark web market and allegedly approved the sale of fentanyl-laced pills, including those from a dealer linked to a confirmed death, WIRED reported this week. Meanwhile, Jeffrey Epstein's ties to Customs and Border Protection officers sparked a Department of Justice probe. Documents say that CBP officers in the US Virgin Islands were still friendly with Epstein years after his 2008 conviction, illustrating the infamous sex offender's tactics for cultivating allies.
Traditional IAM and IGA systems are designed primarily for human users and depend on manual onboarding and integration for each application - connectors, schema mapping, entitlement catalogs, and role modeling. Many applications never make it that far. Meanwhile, non-human identities (NHIs): service accounts, bots, APIs, and agent-AI processes are natively ungoverned, operating outside standard IAM frameworks and often without ownership, visibility, or lifecycle controls.
While you're thinking about third-party add-ons for your computer and phone, take a moment to review everything you have installed on both fronts and consider how many of those programs you actually still use. The fewer cracked windows you allow on your Google account, the better - and if you aren't even using something, there's no reason to keep it connected.