Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

Benchmaxxing: When the Benchmark Becomes the Target

Aug 19, 2026 By Nathan Danneman In CrowdStrike
Public benchmarks in AI provide important signals and allow for regression testing, directional validation of model updates, and public discussion of capabilities and limitations. But the more attention a benchmark receives, the stronger the incentive to optimize for it. Once a score becomes the goal, teams start benchmaxxing: optimizing for the benchmark rather than the capability it is meant to measure. This is a familiar problem in the AI space.
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appsentinels

7 API Security Requirements for Payment Transactions

Aug 19, 2026 By AppSentinels In AppSentinels
Every payment flow your organization runs, from card authorization to ACH transfers to embedded lending to open banking consent, is now an API call. That’s good for velocity. It’s also why payment APIs sit at the top of the attack surface for financial services and enterprise SaaS platforms handling money movement.
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How to Choose a React Native Development Company for AI-Driven Mobile Projects

How to Choose a React Native Development Company for AI-Driven Mobile Projects

Aug 19, 2026 By SecuritySenses In SecuritySenses
AI-driven mobile apps grow more complex every month. The gap between a team that can actually ship one and a team that merely claims they can is wider than most product managers expect. Wrong hires cost you four to six months of rework on top of the initial build, a brutal, avoidable tax. So if you're planning a mobile product that uses machine learning, on-device inference, or real-time AI features, vendor selection deserves far more rigor than skimming a portfolio and firing off a request for proposal.
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levelblue

AI Vulnerability Management: Wayfinder Frontier AI Services Found It. We Fix It.

Aug 18, 2026 By Adam Bixby In LevelBlue
For years, security teams and developers alike have struggled with understanding and identifying all security issues affecting their deployed applications. Today, SentinelOne's Wayfinder Frontier AI Services can identify exploitable weaknesses across source code, Software Bill of Materials (SBOM) dependencies, and embedded secrets at unprecedented speed. The problem is that remediation has not accelerated at the same rate.
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astra

10 Best Kubernetes Security Tools in 2026 [Open-Source]

Aug 18, 2026 By Ephrim Holyson In Astra
Somewhere right now, someone is spinning up a fresh Kubernetes cluster, feeling pretty good with a basic firewall, skimmed a hardening guide, and maybe even applied a few CIS benchmarks. What could possibly go wrong? Roughly 18 minutes. That’s the average time before a newly exposed Kubernetes cluster receives its first malicious probe or attack attempt. So there’s zero room for error when it comes to securing Kubernetes.
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miniorange

Top Atlassian Cloud Apps to Get the Most Out of Your Setup

Aug 18, 2026 By Chinmay Rasam In miniOrange
Atlassian has ended new Data Center (DC) license sales and continues to prioritize Cloud for new customers. If you’re already using a data center, you have to plan your migration to the Cloud. And if you’re buying your first license, Atlassian Cloud is the only option. That shift comes with multiple benefits, like agility, scalability, and lower cost overhead. However, your DC environment, being on-premise, gave you more direct control over security.
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veracode

Managing LLM Code Security at Scale with Hybrid SAST

Aug 18, 2026 By Pete Zavlaris In Veracode
The amount of code being generated in the era of AI is staggering, and some non-trivial percentage of that code is insecure. According to the 2026 GenAI Code Security Report, roughly 44% of AI generated code test produced a known vulnerability. Organizations are more reliant than ever on cybersecurity programs that can scale at the velocity of AI while still managing risk with guardrails, governance, and compliance standards.
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jfrog

Frontier AI Application Security: Every Second Counts

Aug 18, 2026 By Matan Libis In JFrog
Somewhere in the last few months, the math of application security quietly broke. Anthropic’s Claude Mythos Preview didn’t just analyze code, it found a 27-year-old vulnerability in OpenBSD, a 16-year-old bug in FFmpeg, and a 17-year-old remote code execution flaw in FreeBSD, entirely on its own. Then it went further: it built working exploits for them. No human guidance. No months of manual research. And by Anthropic’s own account, this is only a preview of what’s coming.
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