Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Delivering Context and Speed for Security Operations with Aurora Security Assistant

Security operations teams are facing a familiar, but growing, challenge. As threat actors leverage AI and automation to move faster, alerts continue to expand in volume and complexity. Even mature security teams struggle to keep up with investigation timelines, maintain institutional knowledge, and ensure consistent response quality. At the same time, buyers are demanding more from their security platforms. They want solutions that go beyond detection.

A Guide to Continuous Autonomous Pentesting

Shopping for security testing, you’d have probably noticed that almost every vendor now promises continuous autonomous pentesting. The word sounds reassuring, suggesting round-the-clock surveillance, patching and making sure nothing slips through. But when you ask for what is being surveilled, when, how frequently, your levers in reporting and support, the milk starts to get curdy. This curd is the word “Continuous”.

The Identity-First Shift in MSP Recruitment

Leading Managed Service Provider (MSP) distributors aren’t just adding identity tools to their marketplace. They are redefining the criteria for partnership within their ecosystems. For years, joining a major distributor’s marketplace was primarily a commercial transaction. Submit your business details, pass some basic onboarding checks and sell away. Identity security was an afterthought, a product category rather than a partnership requirement. Those days are gone.

AI Inference Risk: The Data Exposure Your DLP Can't See

Your DLP controls are correctly configured. Classification policies are in place. Sensitive data is labeled. And your AI tools are quietly building a picture of your organization that none of those controls can see. Most AI-related data exposure does not arrive as a file transfer event.

Attestation in Cybersecurity: Types, Uses & Best Practices

Attestation is a security process that enables one system or entity to prove its state or characteristics to another. This typically involves generating verifiable evidence about the software, hardware, or configuration of a device or environment. The primary goal is to ensure that systems are operating as expected and have not been tampered with. Attestation is important for building trust in distributed environments, where direct oversight and control are not always possible.

Automation in Security: Fast Track to Compliance

Manual security operations don't just slow teams down. They make breaches more expensive. Organizations that implement advanced security automation cut breach response time by over 100 days and save an average of $3.05 million per incident, according to JumpCloud's 2024 analysis. That number reframes the conversation. Automation in security isn't a convenience feature for mature SOCs. It's an operating model.

NVD in the AI Era: The Case for Multi-Source Vulnerability Intelligence

For over twenty years, the global security community has operated under a single, comfortable assumption: that a centralized public source could help track, analyze, and enrich the world’s software vulnerabilities at the pace the industry needed. When the National Vulnerability Database (NVD) was established, the open source vulnerability lifecycle moved at a radically different pace.

7 Best Practices for Privileged User Monitoring

With great power comes great responsibility — and in the cybersecurity world, immense risk. Your privileged users hold the keys to your organization’s digital kingdom. They have the elevated permissions to keep your infrastructure running, but this means a single compromised account or insider mistake can result in a catastrophic data breach. That’s where privileged user monitoring becomes non-negotiable.

Why Data Governance Matters When Adopting AI-Driven Student Enrollment Solutions

Schools, colleges, and universities are under constant pressure to make enrollment faster, simpler, and more accurate. This is why so many institutions are now turning to student enrollment solutions powered by artificial intelligence. These tools can predict applicant behavior, automate paperwork, flag incomplete forms, and even help admissions teams identify which students are likely to enroll. The appeal is obvious. But there is a part of this shift that often gets overlooked in the excitement around automation, and that is data governance.