The human excellence stems from a myriad of different things, but more prominently than the rest, it stems from our ability to grow on a consistent basis. We say this because the stated ability has already fetched the world some huge milestones, with technology appearing as a rather unique member of the group. The reason why technology’s credentials are so anomalous is purposed around its skill-set, which was unprecedented enough to realize all the possibilities for us that we couldn’t have imagined otherwise. Nevertheless, a closer look should be able to reveal how the whole runner was also very much inspired by the way we applied those skills across a real world environment. The latter component was, in fact, what gave the creation a spectrum-wide presence and made it the ultimate centerpiece of every horizon. Now, having such a powerful tool run the show did expand our experience in many different directions, but even after reaching so far ahead, this prodigious concept called technology will somehow keep on delivering the right goods. The same has grown to become a lot more evident in recent times, and assuming one new GRC-themed development pans out just like we envision, it will only propel that trend towards greater heights over the near future and beyond.
BigID, the leading platform for data security, privacy, compliance, and governance, has officially announced the launch of automated, context-based data remediation recommendations, a new capability enabling security teams to make better and more informed decisions. According to certain reports, these recommendations will be geared towards simplifying and expediting data risk remediation, especially for resource-constrained teams. As a result, it ends up putting organizations in a position where they are able to bolster to their security posture to a significant degree. On a more granular level, though, companies that chose to leverage BigID’s recommendations can expect to accelerate all their efforts towards reducing potential risk posed at user’s data. This they do on the back of immediate guidance that will be provided to address critical data risks and facilitate an effective remediation process, while reducing the window of vulnerability. Next up, we must get into how you can leverage in-app recommendations on the most optimal course of action based on the context of given data. The parameters across which you can do so include sensitivity, location, accessibility, and past actions. Another detail worth acknowledging here is BigID’s success around mitigating disruption. This success comes from how efficiently it can pinpoint the right steps to reduce data risks, thus minimizing the guesswork and curb human error to prevent disruption and maintain business continuity.
“Context-based remediation recommendation is a game-changer in the world of data security. It equips security teams with intelligent recommendations to swiftly and decisively respond to their biggest data risks,” said Tyler Young, Chief Information Security Officer (CISO) at BigID. “This development reflects BigID’s commitment to empowering security teams with the insight they need to elevate their data security and risk posture.”
Founded in 2016, BigID has risen up the ranks by helping customers to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data. The platform’s credentials can be fully validated by the fact that it has been recognized for its data intelligence innovation as one of CNBC’s 2022 Top 25 Startups, named to the 2021 Forbes Cloud 100, and recognized on the 2023 Inc. 5000 for 3rd year on the trot. Hold on, there is more. BigID has also cracked Deloitte 500 for 2021 and 2022, and won the honor of being called as a “Market Leader Data Security Posture Management (DSPM)” in the 2023 Global InfoSec Awards. This, however, only came after the company had grabbed laurels like 2019 World Economic Forum Technology Pioneer, and an RSA Innovation Sandbox award.