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Businesses know they need to secure their client-side scripts. Content security policies (CSPs) are a great way to do that. But CSPs are cumbersome. One mistake and you have a potentially significant client-side security gap. Finding those gaps means long and tedious hours (or days) in manual code reviews through thousands of lines of script on your web applications. Automated content security policies can help streamline the code review process by first identifying all first- and third-party scripts and the assets they access, and then generating an appropriate content security policy to help better secure the client-side attack surface. There are few developers or AppSec professionals who claim to enjoy deploying CSPs. First, the CSP has to work for the specific web application. Then the team needs to make sure it provides the appropriate level of protection. The CSP also can't conflict with any existing widgets or plugins (or the decision must be made to not deploy the CSP or dea

A zero-day remote code execution (RCE) vulnerability has come to light in the Spring framework shortly after a Chinese security researcher  briefly leaked  a  proof-of-concept  (PoC)  exploit  on GitHub before deleting their account. According to cybersecurity firm Praetorian, the unpatched flaw impacts Spring Core on Java Development Kit ( JDK ) versions 9 and later and is a bypass for another vulnerability tracked as  CVE-2010-1622 , enabling an unauthenticated attacker to execute arbitrary code on the target system. Spring is a  software framework  for building Java applications, including web apps on top of the Java EE (Enterprise Edition) platform. "In certain configurations, exploitation of this issue is straightforward, as it only requires an attacker to send a crafted HTTP request to a vulnerable system," researchers Anthony Weems and Dallas Kaman  said . "However, exploitation of different configurations will require the attacker to do additional research t

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke