Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Reach Security Ranked #5 on the TechRound100 | Exposing and Fixing Real Security Risk

Honored to share that Reach Security has been named on the TechRound100, recognizing the most impactful and innovative startups of the year. This milestone reflects the problem we’re focused on solving: most organizations don’t lack tools—they lack visibility into how those tools are actually deployed. By exposing misconfigurations, shallow deployments, and missing protections, Reach helps teams fix the risks that matter most before they become incidents.

Types of Data Tokenization: Methods & Use Cases Explained

Tokenization isn’t new, but 2025 forced everyone to rethink it. You’ve got AI pipelines ingesting messy text, microservices flinging data around like confetti, and regulators asking for deletion receipts like they’re Starbucks orders. Most companies slap together a regex mask and call it “privacy.” Spoiler: it isn’t. Real data protection often hinges on choosing the right type of tokenization for the job.

Security Visionaries | Disrupt or Defend? An AI Grudge Match

What does the rise of generative AI mean for the mandates of a CIO and CISO? In this episode of Security Visionaries, host Emily Wearmouth is joined by Netskope's Chief Digital & Information Officer (CDIO) and Chief Information Security Officer (CISO) to discuss top tips for both disrupting and defending your organization in the age of generative AI.

AI Meets Kubernetes Security: Tigera CEO Reveals What Comes Next for Platform Teams

Platform teams are tasked with keeping clusters secure and observable while navigating a skills gap. At KubeCon + CloudNativeCon North America, The New Stack spoke with Ratan Tipirneni, President and CEO of Tigera, about the future of Kubernetes security, AI-driven operations, and emerging trends in enterprise networking. The highlights from that discussion are summarized below.

AI Browsers: A Security Nightmare Flipping the Board on Decades of Security Progress

Modern browsers are among the most hardened mass consumer applications that we have access to. Decades of work have produced strict isolation between sites, safer defaults for cookies, strong TLS enforcement, controlled permissions, and a user experience that steers people away from phishing and fraud. The result is a trustworthy gatekeeper that keeps untrusted sites and attacker payloads confined to their own sandboxes.

CrowdStrike Leverages NVIDIA Nemotron in Amazon Bedrock to Advance Agentic Security

Adversaries are increasingly adopting AI technology to make their cyber operations faster, more efficient, and harder to detect. To stay ahead, defenders need intelligent systems capable of reasoning and acting with the same speed and accuracy as the adversary. CrowdStrike empowers defenders with the CrowdStrike Falcon platform, our agentic security platform that is fueled by AI built and governed by experts who understand the mission of defense.

Say Hello to Ask Pepper AI: Turning API Security into a Conversation

In the world of cybersecurity, we have a "data" problem. We have more of it than ever before, more logs, more alerts, and definitely more APIs. But recently, this challenge has compounded. The rise of Agentic AI and Model Context Protocols (MCPs) has exploded the number of machine-to-machine connections in our environments. These agents spin up new pathways and access data in ways that are often invisible to traditional monitoring.

Navigating AI risks: understanding and mitigating prompt injection

AI is becoming a routine part of technical operations. Teams use models to support ticket triage, incident routing, knowledge retrieval, code analysis, and customer interactions. As these agents move closer to production workflows, the conversation about security becomes much more important. One of the most persistent and widely misunderstood issues is prompt injection. It is not a vulnerability that can be fully patched or trained away.

Can Claude Opus 4.5 Build a SECURE Note Taking App?

Can Claude Opus 4.5 actually build a secure, fully functional note-taking app? In this video, I challenge the latest Claude model to create an app with real features — create, edit, update, delete, plus basic security — and see if the code holds up in practice. This is a real test of how far AI can go in building usable software.

Secure your code at scale with AI-driven vulnerability management

As development teams adopt generative AI at an unprecedented pace, security teams face an evolving set of challenges in securing the software development life cycle. The increasing speed and scale of code changes make it more difficult for organizations to manage risk effectively. Legacy scanners often fail to keep up, returning slow results and noisy alerts that increase remediation time and leave organizations exposed to potential breaches.