Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Identities, computers and groups all need access to resources. But only enough to fulfill a role, and only for as long as they need it. AD Admins, IT leaders, VPs and CISOs recognize this as a foundational part of Zero Trust least privilege models – and as one of the biggest challenges for enterprises. That’s because using native tools for privilege management is complex.

Trustwave SpiderLabs is continuing its multi-year research effort delving into the unique cybersecurity challenges that face different vertical sectors with a new report launching on January 22. This effort analyzes the energy and utilities sector, industries which are increasingly targeted due to their critical role in supporting national and global infrastructures. Ransomware takes center stage in these reports, with Trustwave SpiderLabs reporting an 80% year-over-year surge in such attacks.

Ever wondered how to keep your business safe from the ever-growing wave of cyber threats? Let’s understand what Endpoint Detection and Response (EDR) is and how it can be a trusted ally in protecting your business online.

In September 2024, SE Labs tested Acronis Extended Detection and Response (XDR) against targeted attacks based on APT29 and Scattered Spider. The test was done in parallel with SE Labs’ Q3 2024 comparative EDR test. Both tests were done using the same methodology and targeted attacks from APT29 and Scattered Spider, but the comparative test added DPRK (Democratic People’s Republic of Korea) ransomware to the evaluation.

In an era where password breaches have become all too common, Multi-Factor Authentication (MFA) has emerged as a critical layer of security. MFA provides an authentication method that requires users to present multiple forms of identification before gaining access to systems, which is considered a more robust defence against cyber attacks. However, as cyber criminals evolve tactics, MFA is no longer impervious to threats, particularly phishing attacks that exploit vulnerabilities.

Credential management means securely managing user credentials to control access to important systems and data. With growing cyber threats, it has become essential for protecting sensitive information and meeting compliance standards. In this article, we’ll explore what credential management is, why it matters, and the best practices and tools to enhance your security.

Starting a security program can be challenging for some organizations, especially running a mature program across a large business. Resourcing, lack of organization, and not having a clear remediation strategy are key aspects to the failure of some programs, which can all result in severe breaches of businesses. I’ll walk through seven steps that will help ensure your program is a success and also give a quick overview of how Outpost24’s Managed Services can support your efforts.

Protected Health Information (PHI) contains sensitive patient details, including names, medical records, and contact information. De-identification of PHI is a critical process that enables organizations to use this data responsibly without compromising patient confidentiality. The Health Insurance Portability and Accountability Act (HIPAA) establishes strict rules to ensure the privacy and security of PHI, making de-identification essential for compliance.

In an era where healthcare data fuels innovation, ensuring the privacy and security of Protected Health Information (PHI) remains a top priority. With the increasing adoption of AI, machine learning, and data analytics in healthcare, organizations must comply with strict privacy regulations while maintaining data utility.

With the increasing adoption of artificial intelligence (AI) in healthcare, securing patient data has never been more critical. Protected Health Information (PHI) and Personally Identifiable Information (PII) must be safeguarded to comply with regulatory standards like HIPAA while still being usable for AI-driven analytics. Two key techniques for data security are data masking vs de-identification.