As language models (LLMs) in enterprise applications continue to grow, ensuring data privacy while maintaining response accuracy becomes crucial. One of the primary methods for protecting sensitive information is data masking. However, this process can lead to significant information loss, potentially rendering responses from LLMs less accurate. How can this loss be measured?

Estimating the potential impact of a successful cyber attack may seem impossible, especially given the rapid expansion of organizations’ digital footprint (and, consequently, their attack surface). One example are attacks which pertain to the contact points between businesses and clients, such as websites and mobile apps. In particular, these assets can be cloned and used for phishing attacks.

A password is compromised when it’s leaked in a data breach and made available on the dark web, allowing others to gain unauthorized access to your online accounts. This risk not only arises from a data breach; your passwords can also be compromised in a phishing attack or if you don’t store your passwords securely. Dealing with multiple compromised passwords can be scary and stressful, but luckily there are steps you can take to protect your online accounts.

You can protect yourself from identity theft by safeguarding your Social Security number and other sensitive documents, regularly reviewing your credit reports, using a dark web monitoring tool and not oversharing online. Identity theft occurs when someone steals and uses your sensitive documents unbeknownst to you to gain money or access to your confidential information. Examples of sensitive documents include Social Security numbers, credit card numbers, bank account information and passport numbers.

We are lucky enough to be living through the golden age of podcasts. Whatever subject you’re into, you can bet there’s someone out there talking into a microphone about it, and cybersecurity is no exception.

A new strain of Android malware has emerged, targeting victims' card details and utilizing near-field communication (NFC) technology to facilitate unauthorized ATM withdrawals. This sophisticated crimeware, active since March 2024, has already impacted customers of three major Czech banks.

Enterprises invest heavily in cybersecurity measures to protect their critical assets and sensitive data. According to the Worldwide Security Spending Guide published by International Data Corporation (IDC), European security spending will grow by 12.3% in 2024, similar trajectory to the US and Asia Pacific. Despite these investments, crippling vulnerabilities continue to wreak havoc, and the costs of cyber attacks continue to soar.

While external cyberattacks often make the headlines, internal security risks (aka insider risks) present a significant danger that is sometimes underestimated. These risks can arise from disgruntled employees, negligent insiders, or malicious actors with privileged access. The repercussions of such breaches can be severe, resulting in data loss, financial harm, legal fines, and harm to reputation.