Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Traditionally, data security focused on protecting data at rest within the confines of your on-premise data center. The cloud era has blurred these lines. Data now flows through complex pipelines, often traversing multiple services and third-party vendors. This expanded data perimeter creates new vulnerabilities: It’s crucial to ensure that the data loaded into warehouses and analytics tools is scanned for sensitive information and redacted or redirected accordingly.

Advocating for a larger budget is a common need for most security professionals. With so many business obligations fighting for priority and funding, even vital concerns like Vendor Risk Management can fall through the cracks. However, third-party cyber risks can devastate businesses in the blink of an eye—meaning maintaining a proper third-party risk management program should be at the top of your priority list.

SQL Injection (SQL) also known as SQLI is a severe security vulnerability that allows attackers to interfere with the queries and applications made to its database. By inserting malicious SQL code into input fields, attackers can manipulate the database, leading to unauthorized data access, data corruption, or even complete system compromise. This attack technique is made possible because of improper coding of web applications.

A Man-in-the-Middle (MitM) attack occurs when a cybercriminal secretly intercepts and manipulates communications between two parties who believe they are interacting directly. It is currently one of the most deceptive and dangerous cyber threats. Such attacks often lead to data theft, unauthorized access and compromised privacy, to name a few consequences.

Successful AI integration begins with clearly defined business objectives. Avoid chasing the latest AI trend and instead focus on how AI can directly address your organization's key challenges and opportunities. Consider these questions.

Industrial control systems (ICS) and SCADA (Supervisory Control and Data Acquisition) environments were never designed to be exposed to the internet. Yet, as manufacturing enterprises embrace digital transformation, they find themselves in a challenging position—balancing operational efficiency with cybersecurity risk.

DeepSeek’s rapid ascent in the AI space has made it impossible to ignore. Its sophisticated models and AI assistant have captured global attention. And, while headlines focus on DeepSeek’s capabilities, STRIKE research exposes critical security flaws, hidden data flows, and unanswered questions about who has access to the data and why.

The explosion of AI has led to the creation of tools that make it more accessible, leading to more adoption and more numerous, less sophisticated users. As with cloud computing, that pattern of growth leads to misconfigurations and, ultimately, leaks. One vector for AI leakage is exposed Ollama APIs that allow access to running AI models. Those exposed APIs create potential information security problems for the models’ owners.

Region: European Union (Global impact for companies handling EU residents' data) Scope: Data privacy, security, and governance The GDPR sets the gold standard for data protection, demanding comprehensive compliance across a spectrum of activities. Organizations must ensure lawful data processing, gain explicit consent, enable data portability, and implement measures like data protection by design and default.