Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Unlocking LLM Privacy: Strategic Approaches for 2025

Large Language Models (LLMs) now power chatbots, copilots, and data agents across the enterprise. With that power comes risk: LLMs ingest and remix sensitive inputs-from customer conversations and internal docs to PHI and card data-creating new exposure paths and compliance headaches. In 2025, language model privacy is no longer a niche concern; it’s a board-level priority shaped by GDPR, HIPAA, PCI-DSS, and the EU AI Act.

Picture Paints a Thousand Codes: Dissecting Image-Based Steganography in a .NET (Quasar) RAT Loader

Steganography is the art of hiding information inside a seemingly ordinary, legitimate object so that no one suspects anything is hidden. The technique T1027.003 has been around for a long time and is increasingly used by malware authors and threat actors to avoid detection. This involves hiding malicious payloads inside innocent-looking files such as images, audio, or documents. By embedding malware in these files, attackers can bypass traditional security tools that scan for obvious threats.

Detecting Suspicious ESXi Activity Before Ransomware Happens

Cybersecurity teams worldwide have been fighting against ransomware attacks on ESXi infrastructure for years. ESXi is a lightweight, bare-metal hypervisor developed by VMware that allows multiple virtual machines to run on a single physical server. ESXi is widely used in enterprise environments, often hosting virtual machines that support essential services for an entire organization.

Beyond PCI and HIPAA: How Feroot Powers Australian Privacy Act (APA) Compliance

Yes—if your website collects data from individuals located in Australia, the Australian Privacy Act (APA) may apply, even if your company is not based there. This law is enforced by the Office of the Australian Information Commissioner (OAIC) and governs how “APP entities” handle personal information—including that collected by websites, apps, scripts, and third-party services.

CrowdStrike's Approach to Better Machine Learning Evaluation Using Strategic Data Splitting

Since day one, CrowdStrike's mission has been to stop breaches. Our pioneering AI-native approach quickly set our platform apart from the landscape of legacy cybersecurity vendors that were heavily reliant on reactive, signature-based approaches for threat detection and response. Our use of patented models across the CrowdStrike Falcon sensor and in the cloud enables us to quickly and proactively detect threats — even unknown or zero-day threats.

Why Gartner Declared EASM Obsolete Before it Became Mainstream

Hint: EASM by itself is a means, not an end. In the rapidly evolving landscape of cybersecurity, few innovations have shown as much early promise as External Attack Surface Management (EASM). Its core value proposition the ability to continuously discover, inventory, and monitor all internet-facing assets of an organization was compelling from the start. Yet, despite its utility and adoption across multiple cybersecurity disciplines, Gartner recently declared EASM an obsolete standalone product category.