The most famous data breaches–the ones that keep security practitioners up at night–involved the leak of millions of user records. Companies have lost names, addresses, email addresses, Social Security numbers, passwords, and a wealth of other sensitive information. Protecting this data is the highest priority of most security teams, yet many teams still struggle to actually detect these leaks.
A high-functioning security program leverages data to drive optimization – by satisfying governance, reporting, and compliance (GRC) requirements efficiently, creating visibility for risk-based prioritization, and leveraging automation throughout the software development lifecycle. Often, however, the data needed to drive these processes is spread across a complex ecosystem.
Implementing an AWS multi-account strategy is a popular approach that helps organizations to manage their cloud resources efficiently. In my previous post, I discussed our reasons for implementing an AWS multi-account strategy, our journey, and some of the benefits we gained as an organization. However, implementing this strategy can come with its fair share of challenges.
In a chilling reminder of the relentless threat posed by hackers and cybercriminals, not even the aviation industry is safe from their clutches. Recent reports have shed light on a grave security breach, as unauthorized individuals gained access to vital pilot credentials within two prominent American aviation companies. The far-reaching impact of this breach serves as a stark warning to businesses across all domains: no data is safe from the clutches of malicious actors.
We’ve taken our award-winning API security “Down Under” with our latest customer success! Today we announced that Jemena, a leading energy company in Australia, has selected the Salt Security API Protection Platform to protect its critical gas and electricity infrastructure. Here at Salt, we are honored that Jemena has chosen us to secure its API modernization project!
Imagine the following scenario. A developer is alerted by an AI-powered application security testing solution about a severe security vulnerability in the most recent code version. Without concern, the developer opens a special application view that highlights the vulnerable code section alongside a display of an AI-based code fix recommendation, with a clear explanation of the corresponding code changes.
While Gen AI tools are useful conduits for creativity, security teams know that they’re not without risk. At worst, employees will leak sensitive company data in prompts to chatbots like ChatGPT. At best, attack surfaces will expand, requiring more security resources in a time when businesses are already looking to consolidate. How are security teams planning to tackle the daunting workload? According to a recent Morgan Stanley report, top CIOs and CISOs are also turning to AI.
