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.

Reco + Torq: Dynamic SaaS Security, Fully Automated

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Torq AMP spotlights the partners redefining what’s possible in security operations. Each partner brings a unique strength that seamlessly extends Torq’s autonomous SOC platform. Together, these partnerships help SOC teams achieve speed, accuracy, and scale that were once out of reach. Explore the future of SOC in the AMP’d Sessions video series.

Is AI a cost-effective solution to alert noise? #cybersecurity #AI #SOC #podcast

Security teams are drowning in alerts, and AI might not be the answer everyone thinks it is. In this episode, Erik Bloch, VP of Security at Illumio, breaks down the math on why AI-powered alert triage may be financially unfeasible for most organizations. With 85 to 90 percent of alerts being non-malicious, security teams are still sorting through massive volumes of noise to find the real threats. Many vendors are betting that AI will solve this problem by triaging alerts at scale. But the reality?

How Generative AI is Changing the DLP Landscape

Generative AI has revolutionized productivity, but it has also introduced a new class of data risk that legacy DLP tools simply can’t see. From engineers pasting source code into ChatGPT to marketers rewriting strategy docs, sensitive IP is leaving the browser through "Shadow AI" channels daily. Learn why traditional pattern matching fails against LLMs and how a data lineage approach secures AI usage without halting innovation.