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Keeping business secure in the age of digital privacy

Protecting customers’ information doesn’t mean having to compromise cybersecurity plans.

Data protection and privacy are hot-button topics for customers in the wake of rising cybersecurity concerns. As a result, the use of concealed and encoded online communications continues to skyrocket, with more than 87% of web traffic now encrypted, according to the latest Bond Capital Internet Trends report. But while these safety measures have helped provide end users with peace of mind, the lack of transparency can also limit an organization’s visibility into its own enterprise interactions and greatly heighten threats of malicious digital activity. To address these concerns, companies must employ solutions that not only safeguard users’ privacy but also support secure online exchanges.

“Businesses looking to defend against tomorrow’s digital threats need to maintain visibility into user behavior online while also preserving the integrity of end users’ information,” explains Jesse Rothstein, chief technology officer of leading cybersecurity provider ExtraHop. “But it’s often a difficult line to walk. Digital communications—much like letters sent via postal carriers—once allowed you to see important details, like senders and recipients, without opening the virtual envelopes they were contained in. The challenge for many businesses now is that it’s become far more difficult to gain this information without intercepting the letters and reading their contents, which creates profound security implications for all parties involved.”

Luckily, successfully monitoring sprawling network environments doesn’t mean having to compromise either end users’ information or a company’s digital security perimeter. Artificial-intelligence (A.I.) tools like ExtraHop’s Reveal(x) 360 network platform allow businesses to automatically spot virtual dangers in minutes. Focused on threat detection and response, its self-learning technology continually scans networks for signs of trouble, then fires into action when suspicious activity is detected. They extract only the base metadata and metrics needed to effectively safeguard systems, summarizing and stripping user data of identifying details while leaving sensitive information untouched. So, rather than eavesdropping on users’ every move, these tools leverage cloud-level A.I. to continuously analyze network traffic, stay alert for suspicious behaviors, and respond quickly if potential threats are detected.

“By building highly targeted solutions with personal privacy and enterprise security in mind from the ground up, we’re making it possible to shine a light in the dark and provide greater insight into network and cloud activity,” explains Rothstein. “We’re also doing so in a way that lets businesses protect their users’ data without compromising the ability to surface the key insights needed to sustain a well-defended cybersecurity program.”

So, while cyber threats may be increasingly hard to spot, a slight shift in approach is all it takes to help bring better digital defense strategies into focus.