Why AI in tech must not compromise security

AI is helping dev teams move up to 4x faster, but it’s also introducing 10x more AppSec vulnerabilities. Dive into the details: https://lnkd.in/embhijpM #AICoding #AppSec #SoftwareRisk #Apiiro #CodingWithAI #CodeVelocity

AI speeds coding but can increase bugs and security risks. Veracode found 45% of AI-generated code contains known vulnerabilities, a rate unchanged over two years. AI-generated code can accelerate development, but without strong oversight it creates security vulnerabilities, bloated codebases, and technical debt. The best teams treat AI as a partner in engineering, not just a code vending machine. https://lnkd.in/enTp2-nr

Security isn’t a checkbox; it’s an infrastructure problem. Financial services and public sector leaders are tackling AI adoption risks with self-hosted CDEs that keep source code, data, and agent activity inside their infrastructure, governed, auditable, and secure. As organizations adopt AI agents, unmanaged code access and data exfiltration risks multiply. Coder helps enterprises contain those risks and reduce exposure without slowing down, with zero source code egress and full audit trails. Visit us at booth 147 to learn more and see a live demo. #GartnerSYM #AgenticAI #Coder #CoderEvents Austen Bruhn Katherine Bagood Mark Eadie Nicky Pike Ross Weatherford

🚀 A DeepSeek Moment in Computer Vision In security, trust is everything. The technology you rely on shouldn’t come from an anonymous GitHub repo — it should come from real engineers, building proprietary AI designed for reliability and accountability. Open-source models may be tempting, but they come with serious risks: adversarial attacks, hidden loopholes, and unpredictable performance. When every second counts, uncertainty isn’t an option. That’s why ScyllaNet is different — a proven technology ranked #2 globally on the COCO Computer Vision Leaderboard. It’s not just faster and smarter — it’s built for trust. Scylla reduces false alarms, cuts operational costs, and delivers unmatched efficiency through its unique architecture. Scylla — Faster. Smarter. Rising to the Top. #AI #Security #ComputerVision #ScyllaAI #Innovation #DeepSeekMoment

“Vibe coding” is transforming how we build software — letting AI generate boilerplate, logic, and more. But with speed comes new risks: vulnerabilities, model poisoning, hallucinated packages, and weakened accountability. In our latest video, we explore: • Key threats introduced by AI-generated code • Real vulnerabilities caught in generative outputs • How BinLens applies binary-level symbolic analysis to detect flaws even when source-level tools can’t • Practical guardrails: logging, prompt standards, human review, dependency validation Please see the original blog: https://bit.ly/47aouPY #AISecurity #DevSecOps #VibeCoding #BinLens #SecureDev #ObjectSecurity #AdversarialAI

AI-generated code is fast—but often flawed. Recent breaches at Wix and Drift show how quickly AI-driven development can outpace security. Partnerships like Snyk x Cognition embed real-time scanning directly into AI coding agents, making security proactive instead of reactive. Early pilots show this approach can cut vulnerabilities by 70%+ while keeping development velocity high. As AI continues to accelerate software creation, “Secure At Inception” is becoming essential for trustworthy, high-speed development.

Have you come across the term "vibe coding"? It's becoming more prevalent, but what does it truly entail, and what should your development team be aware of? Alton Crossley, Senior Application Security Engineer at GuidePoint Security, provides insights on distinguishing between the buzz and reality and offers guidance for ensuring security in AI-assisted coding. Read more: https://okt.to/FQwJ3A #AI #AppSec #ApplicationSecurity

“Vibe coding” is transforming how we build software — letting AI generate boilerplate, logic, and more. But with speed comes new risks: vulnerabilities, model poisoning, hallucinated packages, and weakened accountability. In our latest video, we explore: • Key threats introduced by AI-generated code • Real vulnerabilities caught in generative outputs • How BinLens applies binary-level symbolic analysis to detect flaws even when source-level tools can’t • Practical guardrails: logging, prompt standards, human review, dependency validation Please see the original blog: https://bit.ly/47tjzbI #AISecurity #DevSecOps #VibeCoding #BinLens #SecureDev #ObjectSecurity #AdversarialAI

“Vibe coding” is transforming how we build software — letting AI generate boilerplate, logic, and more. But with speed comes new risks: vulnerabilities, model poisoning, hallucinated packages, and weakened accountability. In our latest video, we explore: • Key threats introduced by AI-generated code • Real vulnerabilities caught in generative outputs • How BinLens applies binary-level symbolic analysis to detect flaws even when source-level tools can’t • Practical guardrails: logging, prompt standards, human review, dependency validation Please see the original blog: https://bit.ly/3WKW49n #AISecurity #DevSecOps #VibeCoding #BinLens #SecureDev #ObjectSecurity #AdversarialAI

Have you come across the term "vibe coding"? It's becoming more common, but what does it signify and what should your development team be cautious about? Alton Crossley, a Senior Application Security Engineer at GuidePoint Security, breaks down the reality behind the buzz and provides insights on securing your AI-assisted coding practices. Discover more here: https://okt.to/SaLvR8 #AI #AppSec #ApplicationSecurity