Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If this is your first time creating a security architecture document and you lack the resources or expertise to do so, or if your initial review uncovers gaps in your security that you need help closing, we can help.

The rapid evolution of telehealth has transformed the way patients connect with healthcare providers. As remote care becomes increasingly mainstream, ensuring that these digital interactions are secure, private, and fully compliant with HIPAA is more critical than ever. In this guide, we’ll explore the world of HIPAA compliance in telehealth, examine what it means for remote care providers, and offer practical tips to help you secure your telehealth platform.

Security teams are drowning in alerts. False positives, duplicates, and low-value signals overwhelm analysts, delay response, and drive burnout. The result: real threats slip through, costs spiral, and boards lose confidence in security’s ability to deliver measurable outcomes. To be Breach Ready and Board Ready, SOCs must cut through the clutter and focus on what matters most. That’s where Securonix Noise Cancelation comes in.

Threat intelligence holds incredible promise—but only if it translates into timely, decisive action. Too often, security teams chase disconnected data across fragmented tools, incompatible formats, and siloed workflows. The result? Slower response times, missed threats, and exhausted SOC analysts. The answer is clear: unified intelligence. That’s the power of the Securonix Unified Defense SIEM and ThreatQ integration—streamlined, contextualized, and built for action.

This week, Tanium’s Cyber Threat Intelligence (CTI) team investigates SystemBC, a large-scale proxy botnet that’s leveraging compromised virtual private server (VPS) infrastructure to support cybercriminal operations, including ransomware and credential theft. Next, the team looks at ShinyHunters—a financially motivated data extortion group that’s now targeting enterprise cloud applications.

In the race to secure today’s ever-expanding attack surface, many companies have made a practice of using a mix of tools to monitor, assess, and remediate threats. This practice has resulted in a fragmented and chaotic landscape of security solutions across several teams, increasing complexity and forcing companies to have a reactive vs. proactive security posture.

AI code review leverages artificial intelligence models and machine learning techniques to analyze and provide feedback on source code, automating and improving the traditional code review process. It is crucial for software development workflows, offering significant advantages to developers and teams. AI code review can scan for bugs, style violations, security vulnerabilities, and other issues.