Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Edge IoT Security: Securing Devices for Modern Enterprises

Enterprises are rapidly shifting toward edge computing to support real-time decision-making, reduce latency, and enable smarter connected operations. By processing data closer to where it is generated — whether in factories, vehicles, hospitals, or energy grids — edge computing reduces reliance on centralised data centres and cloud platforms. Secure communications are essential to ensure the integrity and privacy of data as it flows between devices and infrastructure at the network edge.

AI-Powered Protection, Profitable Margins: Why VARs Are Switching to AppTrana WAAP

Globally, the VAR market for IT products is projected to exceed USD 11.8 billion in 2024 and grow at a CAGR of 7.5%, potentially doubling by 2033. Within security software, where overall market spending is expected to surpass USD 200 billion, VARs(Value Added Resellers) play an outsized role by packaging products with services that help enterprises implement, manage, and get measurable outcomes from their technology investments.

Connect and secure any private or public app by hostname, not IP - free for everyone in Cloudflare One

Connecting to an application should be as simple as knowing its name. Yet, many security models still force us to rely on brittle, ever-changing IP addresses. And we heard from many of you that managing those ever-changing IP lists was a constant struggle. Today, we’re taking a major step toward making that a relic of the past.

CrowdStrike Stops GenAI Data Leaks with Unified Data Protection

GenAI adoption is exploding across organizations, transforming how work gets done and where data moves. CrowdStrike is announcing four new innovations in CrowdStrike Falcon Data Protection to empower organizations to embrace GenAI tools while securing data across endpoints, cloud, GenAI, and SaaS environments.

Ethical and Regulatory Implications of Agentic AI: Balancing Innovation and Safety

Artificial intelligence (AI) has come a long way over the past six decades. From simple chatbots in the 1960s to today’s sophisticated large language models (LLMs), mimicking human behavior has always been one of AI’s most intriguing applications. At present, though, AI cannot plan or make decisions as humans do. If it could, the ethical implications of AI would suddenly become much more complex. That’s where agentic AI comes in.

AI-Assisted Phishing Attacks Are an Increasingly Serious Threat

AI-assisted phishing attacks pose a significant and increasing threat to organizations, according to Matt Weidman, partner and vice president of Commercial Property & Casualty at USIA. In an article for CBIA, Weidman explains that attackers can use AI tools to craft targeted, convincing phishing messages that are almost indistinguishable from the real thing.

Telemetry Alone Won't Save You: Why Action Matters in API Security #telemetry #appsec #infosec

Collecting logs and metrics isn’t enough real API security requires actionable insights and the ability to respond fast. In this clip, Wallarm and Oracle experts explain why telemetry without a clear response plan is useless, and how building detection into your incident response process makes the difference between stopping threats and just observing them.

Secure Your AI Workflows: New Governance & Visibility Features from Snyk

As AI transforms software development, AppSec teams face new complexities. For instance, the lack of visibility into where AI is being used and the reality that AI-generated code is often highly vulnerable make it nearly impossible to prioritize remediation and effectively scale security programs. To succeed, AppSec teams have to evolve from task managers to strategic governance enforcers.

A practical guide to AI-ready machine identity governance in finance

Across financial services operations, machine identities play critical roles, but in many organizations, these cryptographic keys, API tokens, certificates, and service accounts remain chronically under-governed. What’s more, machine identities outnumber human identities by staggering margins, creating a massive, often unseen, unsecured attack surface—one that’s only further compounded by the rise of artificial intelligence (AI).