Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why You Shouldn't Use LLMs to Generate SQL (Security Risks)

“Just let the LLM write the SQL.” It sounds powerful. A user types a question in plain English, the model generates a query, the system runs it against the database, and the answer comes back. No SQL knowledge required. No BI tools. No waiting for the data team. It works beautifully in demos. And it is a serious engineering mistake in production. Direct SQL generation from LLMs combines two things that should never be combined: untrusted code generation and privileged execution.

Smart Routing in Payment Systems: How It Boosts Acceptance Rate

Every declined transaction is lost revenue. Industry data consistently shows that online merchants lose a meaningful share of potential transactions to technical processor declines, incorrect routing, or individual acquirer limits - losses entirely unrelated to customer intent or card validity. Smart routing is the architectural solution that addresses this systematically. A declined transaction is not a customer saying no. It is your payment infrastructure saying it cannot handle the request - a fixable engineering problem.

Is IQ Option Safe in 2026? A Closer Look for Nigerian Traders

The surge in retail trading across Nigeria has pushed more users toward global platforms, especially as the naira remains volatile. With that growth comes a familiar concern: whether widely advertised brokers like IQ Option are reliable or potentially risky. According to Tribune Online, IQ Option has been active since 2013 and serves tens of millions of users worldwide. This long operational history places it outside the category of short-term schemes, but understanding its mechanics and limitations is still critical before engaging with the platform.

How to Prompt Chat GPT for Better Results in Professional Communication

Artificial intelligence tools have become an important part of modern business communication, content creation, and productivity workflows. Among these tools, ChatGPT is widely used by marketers, recruiters, founders, students, and business professionals who want to save time while improving the quality of their work. However, many users still struggle to get accurate and useful responses because they do not understand how to prompt chat gpt effectively.

Beyond the Blind Spot: Achieving Data Mastery with Netskope at Currys

You can’t control what you can't see. Currys is fixing this, using data analytics and data stitching to correlate information across various endpoints to create a holistic view of its cloud environment. Netskope provides the core technology and DLP engine that powers Currys data protection strategy. Together, they built a mature data loss prevention (DLP) strategy, a model which is user-centric, allowing the business to drill into specific user behaviors rather than just focusing on applications.

Plenary Session on Data Protection in the Age of AI at CII CIO Awards & Conclave

In this panel discussion titled "Data Protection in the Age of AI" Our Founder & CEO Mr. Anirban Mukherji along with several distinguished speakers, focused on critical aspects of data privacy and cybersecurity. The session explored how artificial intelligence impacts data management and the necessity of robust data privacy and security measures. Experts discuss the importance of responsible AI practices to navigate the evolving digital landscape effectively.

Cyberhaven Analyst Plugin: AI-Assisted Security Investigation in Claude Code and Codex

Security teams have a data problem. Not a shortage of data, but instead there is a growing data surfacing problem. The signals are there, the incidents are logged, and the classifications exist. But, getting from raw data to a prioritized action plan still requires close to an hour of manual querying, tab-switching, and context reconstruction, every single time. The Cyberhaven Analyst Plugin changes that.

How to Monitor MCP Usage: A 10-Step Security Checklist for 2026

What you need to know: MCP can evade traditional DLP, IAM, and SIEM controls because agent traffic looks like authorized API calls, sensitive data is semantically transformed before it leaves the perimeter, and exfiltration happens through tool invocations rather than file transfers.