Container Security Without Context Is Just More Noise

Mend.io’s new Docker Hardened Images integration brings DHI intelligence directly into the AppSec workflow, giving a smarter, faster path to container security. Container scanning has a noise problem. Run a standard scan against any production image, and you’ll surface thousands of CVEs.

How Can Active Deception Validate Security Controls in Real Environments?

Security teams spend enormous effort deploying security controls. Endpoint protection tools. Network monitoring platforms. Identity security solutions. Detection systems. Logging platforms. The list continues to grow every year. But here’s the uncomfortable question many organizations eventually face: Are those controls actually working the way we expect? Security tools can generate alerts, dashboards, and metrics.

What RSAC 2026 Actually Told Us About Your Security Debt

I recently attended the RSA Conference 2026 (RSAC 2026) in San Francisco. I have been attending and speaking at RSAC for a long time, and every year I try to figure out what actually changed versus what just looks new. This year felt different, but not in the way the expo floor would suggest.

Introducing the Datadog Code Security MCP

AI-assisted development helps teams write code faster, but that speed comes with added security risk. As agents generate more code, they can introduce vulnerabilities, insecure dependencies, or exposed secrets, often before a human reviewer ever sees the change. Security teams are left reviewing more code with the same resources, which makes it harder to catch issues early.

Top 5 Zero Trust Vendors in Cybersecurity in the United States

As cyber threats grow and become more threatening, businesses must shift to stronger, more proactive strategies to protect their data and networks. Zero Trust Security is one such approach gaining traction. Based on the principle of "never trust, always verify," Zero Trust continuously authenticates and authorizes every user and device before granting access to sensitive systems or data, regardless of whether they are inside or outside the network.

What is the NIST AI Risk Management Framework?

The NIST AI Risk Management Framework is a guide that helps organizations spot and reduce risks in AI systems. This framework was released in January 2023 by the U.S. National Institute of Standards and Technology. The framework is built around four key steps, namely: Govern, Map, Measure, and Manage, and is meant to help teams responsibly use AI. It doesn’t matter which industry you work in or which AI you use; this framework works everywhere.

The 5 best HIPAA compliance software options for 2026

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

You Can't Patch Your Supply Chain So Why Treat It Like a Vulnerability Problem?

For years, vulnerability management has followed a familiar pattern: discover assets, scan for CVEs, prioritize by severity, and remediate what you can. That model works, at least within the boundaries of systems you own. The problem is that most organizations no longer operate within those boundaries. Federal agencies especially depend on a complex ecosystem of SaaS platforms, software vendors, contractors, and open-source components.

Claude Code Accidently Goes Open-Source - The 443 Podcast - Episode 365

This week on the podcast, we cover the accidental Claude Code source code leak and what it means for users and the wider ecosystem. After that, we discuss the Axios supply chain compromise impacting users of a JavaScript library with over 100 million weekly downloads. We end with our thoughts on Browser Gate, the name given to allegations that Microsoft is illegally harvesting LinkedIn customer data for a competitive advantage.

Discover Your Network's Blind Spots Before It's Too Late

Advanced threats rarely break into infrastructure in obvious ways. In many cases, they remain hidden for months, exploiting blind spots created by unmanaged personal devices (BYOD), applications adopted without the IT department’s oversight (shadow IT), unauthorized access points, or compromised devices operating as part of botnets. As networks evolve into hybrid environments and most traffic is encrypted, the context becomes fragmented and the attack surface expands.