Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vanta vs Drata: Key differences for enterprise GRC - 2026

Compare Vanta and Drata across integrations, automation, and enterprise GRC capabilities. This video breaks down key differences in testing, AI-driven remediation, and adaptive scoping. Learn why Vanta is built for complex enterprise compliance programs. – GRC platforms may look similar at first glance, but the differences become clear at enterprise scale. In this video, we compare Vanta and Drata across the capabilities that matter most for growing and complex organizations.

Cosine Similarity Is Math, Not Magic

Cosine similarity is pure math. No magic. No understanding. Once you accept that, a lot of the confusion goes away. We talk to a lot of customers, and even seasoned engineers, who treat cosine similarity like magic that solves everything. Engineers talk about embeddings like they are definitive. Product teams trust similarity scores like they are facts. Vendors sell “semantic understanding” like the model actually understands. Truth is, it does not.

8 Ways to Reduce False Positives in Email Security

False positives can disrupt inbound email security as much as missed threats by slowing business workflows and eroding trust in security controls. As phishing attacks become more convincing, many systems respond by tightening filtering thresholds. But without enough context, this can lead to overblocking, where everyday business communication is misclassified as suspicious. Reducing false positives requires more than adjusting filters.

AI Agent Governance Part 2 - What Good Looks Like: Governing AI Agents in Practice

If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Insider You Build, she explains that governance is not defined by policies or structures, but by whether it can actually influence system behavior at runtime. In an agentic environment, governance only exists where it can shape, constrain, and intervene in decisions as they happen.

What is AI Usage Control?

AI usage control is the security and governance framework that enterprises use to monitor, regulate, and secure how employees interact with artificial intelligence tools. As Generative AI becomes deeply embedded in everyday workflows, organizations face a high-stakes balancing act: capturing massive productivity gains while preventing catastrophic data leaks, compliance violations, and intellectual property exposure.

Malware Risks and Mitigation: Strengthen Your Cybersecurity Posture

Malware attacks are a major cybersecurity concern for individuals and businesses. These attacks can lead to data theft and financial losses. A report from AV-Test suggests that more than 450,000 new malware and PUA samples are detected each day, bringing the total to 1.56 billion known samples. Malware can take many forms, such as viruses, ransomware, spyware, and trojans. These can threaten data integrity, privacy, and business continuity.

3 Best Website Security Testing Tools & Vulnerability Scanners Compared for 2026

2026 has turned "busy" into "under siege." Indusface's 2025 H1 AppSec report logged billions of AI-driven attacks on live sites and APIs in just six months. According to SecurityWeek, one botnet hurled 11.5 Tbps at a single target before Cloudflare soaked it up-uptime now equals resilience. Yet old wounds persist: MITRE's 2025 CWE Top 25 still lists cross-site scripting at number one, with SQL injection and CSRF close behind.

Why a Credentialing Specialist Is Essential for Healthcare Operations

Every day a provider is not credentialed is a day they may not be able to see patients, bill payers, or generate revenue. For healthcare organizations, credentialing delays affect far more than paperwork. They impact onboarding timelines, payer reimbursement, compliance readiness, provider schedules, and operational continuity across the business. A missing document or delayed approval can slow down provider start dates, interrupt billing, and create avoidable administrative pressure for teams already balancing complex healthcare workflows.