Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Data Transformation Techniques Are Essential for Security Intelligence

In today's digital world, the amount of data generated by organizations is growing at an unprecedented rate. Every day, businesses, governments, and individuals produce vast streams of information, from financial records and customer interactions to logs from security systems. While this data holds incredible potential for insights, it is often raw, unstructured, and scattered across multiple sources. Security intelligence, which relies on accurate and actionable information to detect threats and make informed decisions, cannot function effectively without proper preparation of this data.

AI Adoption Surges While Governance Lags - Report Warns of Growing Shadow Identity Risk

The 2025 State of AI Data Security Report reveals a widening contradiction in enterprise security: AI adoption is nearly universal, yet oversight remains limited. Eighty-three percent of organizations already use AI in daily operations, but only 13 percent say they have strong visibility into how these systems handle sensitive data. Produced by Cybersecurity Insiders with research support from Cyera Research Labs, the study reflects responses from 921 cybersecurity and IT professionals across industries and organization sizes.

Cyber Startup Frenetik Launches with Patented Deception Technology That Bets Against the AI Arms Race

While most cybersecurity companies pour resources into AI models, massive compute, hoovering up all the data, and enhanced analytics to detect and prevent threats, Frenetik, a Maryland cyber startup, is betting on something simpler: making sure attackers don't know what defenders know. The company emerged today with a fundamentally different approach using novel cyber deception and a newly issued U.S. patent to back it.

Reach Security Joins the Microsoft for Startups Pegasus Program to Accelerate Agentic AI for E3/E5 Security Optimization

Reach Security announces its acceptance into the Microsoft for Startups Pegasus Program. Through the Pegasus Program, Reach will collaborate with Microsoft to help enterprise customers optimize their use of Microsoft E3 and E5 security suites by addressing configuration, visibility, and operational gaps through agentic AI.

WatchGuard Threat Lab's top six cybersecurity predictions for 2026

WatchGuard has revealed its top six cybersecurity predictions for 2026, forecasting a year where AI-driven threats, regulatory pressures, and the decline of legacy tools will reshape the security landscape. Corey Nachreiner, chief security officer at WatchGuard Technologies, emphasises that organisations must prepare for rapid evolution in both attack methods and defensive strategies.

Defining and Defending Against a Zero Day Attack

Unexpected attacks are the hardest to fend off. In the realm of cyber, Zero Day vulnerabilities are among the greatest risks, as these software flaws are unknown and exploited before a fix is available, potentially compromising the thousands of organizations that are unwittingly using vulnerable software.

Why Account Takeover Is a CX Problem, Not Just a Security One

Account takeover is usually and unsurprisingly approached as a security incident, yet much of the customer impact begins earlier in the journey, long before security teams detect or analyse the event. When users face friction, lockouts, or unexpected changes to their accounts, trust starts to erode. This makes the account takeover impact on customer experience a major determinant of brand trust and loyalty.

What is VoIP and How Does it Work?

Your phone rings. The number looks local, even familiar - so you answer. But within seconds, you're being asked to “verify your bank account” or “reset your login credentials.” Sounds suspicious? It is. That call likely came from a VoIP number, which is not a regular phone line. VoIP (Voice over Internet Protocol) lets anyone make calls over the internet, not just through mobile networks or landlines.

How Generative AI is Changing the DLP Landscape

Generative AI has revolutionized productivity, but it has also introduced a new class of data risk that legacy DLP tools simply can’t see. From engineers pasting source code into ChatGPT to marketers rewriting strategy docs, sensitive IP is leaving the browser through "Shadow AI" channels daily. Learn why traditional pattern matching fails against LLMs and how a data lineage approach secures AI usage without halting innovation.