Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

reflectiz

New Research Exposes Critical Gap: 64% of Third-Party Applications Access Sensitive Data Without Authorization

Jan 21, 2026 By Reflectiz
Reflectiz today announced the release of its 2026 State of Web Exposure Research, revealing a sharp escalation in clientside risk across global websites, driven primarily by thirdparty applications, marketing tools, and unmanaged digital integrations. According to the new analysis of 4,700 leading websites, 64% of thirdparty applications now access sensitive data without legitimate business justification, up from 51% last year - a 25% yearoveryear spike highlighting a widening governance gap.
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armo

Best Cloud Compliance Tools in 2026: From Audit-Prep to Runtime Verification

Jan 21, 2026 By Jonathan Kaftzan In ARMO
What are the three types of cloud compliance tools? Audit-prep platforms (Drata, Vanta) automate evidence collection for certifications. Security posture management/CSPM (Wiz, Prisma Cloud) scan configurations at a point in time. Runtime compliance verification (ARMO, Sysdig) monitors actual workload behavior continuously. Choosing the wrong type means solving for the wrong problem. What is compliance drift and why does it matter? The gap between your last scan and your current state.
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Feroot

Can WAF prevent browser attacks that break PCI compliance?

Jan 21, 2026 By Feroot In Feroot
The answer to whether WAF can see and prevent browser attacks that break PCI compliance depends on the lens you use. Through the lens of Requirement 6.4.2, the answer is mostly yes. But through the lens of 6.4.3 and 11.6.1, it gets a little blurry. Requirement 6.4.2 is about stopping web-based attacks at the application layer by inspecting outbound and inbound HTTP traffic at the server side.
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datadog

Scale compliance across global frameworks with Datadog Cloud Security

Jan 20, 2026 By Christina DePinto In Datadog
Security organizations are expected to keep pace with a growing set of regulatory and industry requirements as their cloud environments grow. Yet maintaining compliance in modern, fast-moving infrastructure is increasingly difficult. Cloud resources change by the minute, teams adopt new services without centralized oversight, and evidence needed for audits is often scattered across tools and providers.
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mend

Introducing Mend.io's AI Security Maturity Survey + Compliance Checklist available today

Jan 20, 2026 By Tiffany Jennings In Mend
Today, we’re excited to launch two practical tools to help teams quickly understand their AI maturity, quantify AI risk, and gather the evidence executives will ask for in 2026: an interactive AI Security Maturity Survey (with a personalized score and mapped recommendations) and a companion AI Security Compliance Checklist. Both are aligned to industry standards and built to be immediately useful in discovery, audits, and planning.
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vanta

How to choose the best access review software: A buyer's guide

Jan 20, 2026 By Vanta In Vanta
As businesses continue to adopt new technologies and expand their digital ecosystem, about 72% of organizations report that overall security risks have never been higher. Access-related vulnerabilities, in particular, have emerged as one of the top cybersecurity concerns, since every new tool or system introduces additional access points, users, and permissions to manage.
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Challenges in Meeting Multi-regulatory Compliance

Jan 20, 2026 By Indusface In Indusface
RBI. SEBI. IRDAI. CERT-In. These are just some of the regulatory frameworks a modern enterprise must comply with today. When companies operate under multiple regulators, overlapping mandates often create more confusion than clarity, with different reporting timelines, expectations, and audit pressures.
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kovrr

Ensuring Institutional AI Ownership With the AI Compliance Officer

Jan 20, 2026 By Kovrr In Kovrr
‍Artificial intelligence (AI) systems and generative AI (GenAI) tools have already been embedded across enterprise operations in a myriad of ways that trigger compliance obligations, both in terms of AI-specific regulations and other reporting mandates. In many cases, this adoption is occurring informally, through employee-driven tools or AI features embedded within third-party platforms, without centralized visibility or approval.
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