
AI-Coding Becomes a Risky Norm as Use of AI-Coding Assistants Takes Off and More Than 80% of Organizations Ship Vulnerable Code
Risky business: Global survey of tech and security leaders says only 18% of organizations have policies governing AI use, and 81% knowingly ship vulnerable code, up from 91% in 2024.
The findings paint a stark picture: AI‑generated code is becoming mainstream, but governance is lagging. Half of respondents already use AI security code assistants and 34% admit that more than 60% of their code is AI‑generated. Yet only 18% have policies governing this use. The growing adoption of AI coding assistants is eroding developer ownership and expanding the attack surface.
The research also shows that business pressure is normalizing risky practices. Eighty‑one percent of organizations knowingly ship vulnerable code, and 98% experienced a breach stemming from vulnerable code in the past year, that's a sharp rise from 91 % in 2024. Within the next 12 to 18 months, nearly a third (32%) of respondents expect Application Programming Interface (API) breaches via shadow APIs or business logic attacks. Despite these realities, fewer than half of the respondents report deploying foundational security tools, such as using mature application security tools such as dynamic application security testing (DAST) or infrastructure‑as‑code scanning. While DevSecOps is widely discussed industry-wide, only half of organizations surveyed actively use core tools and just 51% of North American organizations report adopting DevSecOps.
'The velocity of AI‑assisted development means security can no longer be a bolt‑on practice. It has to be embedded from code to cloud,' said Eran Kinsbruner, vice president of portfolio marketing. 'Our research shows that developers are already letting AI write much of their code, yet most organizations lack governance around these tools. Combine that with the fact that 81% knowingly ship vulnerable code and you have a perfect storm. It's only a matter of time before a crisis is at hand.'
The report outlines six strategic imperatives for closing the application security readiness gap: move from awareness to action, embed 'code‑to‑cloud' security, govern AI use in development, operationalize security tools, prepare for agentic AI in AppSec, and cultivate a culture of developer empowerment.
Kinsbruner added, 'To stay ahead, organizations must operationalize security tooling that is focused on prevention. They need to establish policies for AI usage and invest in agentic AI that can automatically analyze and fix issues real-time. AI generated code will continue to proliferate; secure software will be the competitive differentiator in the coming years.'
The release of this report follows Checkmarx's announcement of general availability of its Developer Assist agent, with extensions to top AI-native Integrated Development Environments (IDE) including Windsurf by Cognition, Cursor, and GitHub Copilot. This new agent—the first in a family of agentic-AI tools to enhance security for developers, AppSec leaders, and CISO's alike—delivers real-time, context-aware issue identification and guidance to developers as they code for autonomous prevention.
Download the full 'Future of Application Security in the Era of AI' report at Checkmarx website to learn how organizations can navigate the AI‑accelerated risk landscape and build secure‑by‑default development practices.
About Checkmarx
Checkmarx is the leader in agentic AI, cloud-native application security that empowers the world's largest development organizations with real-time scanning and closed-loop remediation to boost developer productivity on security tasks by up to 50%. Based on the powerful Checkmarx One platform that scans over six trillion lines of code each year, Checkmarx is designed for large-scale, hybrid human and AI-assisted development teams. Checkmarx. Always Ready to Run.
Follow Checkmarx on LinkedIn, YouTube, and X.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
8 minutes ago
- Yahoo
Why TeraWulf Stock Is Skyrocketing Today
Key Points TeraWulf inked a multiyear, multibillion-dollar agreement to provide up to 200 megawatts of compute power to an AI cloud provider. The deal will be backed by Google in exchange for a potential 8% stake in TeraWulf. 10 stocks we like better than TeraWulf › Shares of TeraWulf (NASDAQ: WULF) are flying on Thursday, up 44.1% as of 1:09 p.m. ET. The jump comes as the S&P 500 and Nasdaq Composite were down slightly. TeraWulf, a Bitcoin miner and high-performance computing (HPC) data center company, announced it inked a 10-year, $3.7 billion deal backed by Alphabet's Google. TeraWulf signs a massive deal for AI data center space Along with releasing its second-quarter earnings, TeraWulf announced a major co-location deal with Fluidstack, an artificial intelligence (AI) cloud provider that will see the company provide 200 megawatts of compute power at its data center in New York. The 10-year, $3.7 billion deal has the option to be extended twice for up to a total of $8.7 billion. Google will guarantee up to $1.8 billion if Fluidstack fails to make good on its lease obligations. In exchange, Google will be awarded warrants for 41 million shares of TeraWulf, about an 8% stake. The guarantee will allow TeraWulf to access the financing it needs to provide the 200 megawatts of compute power. TeraWulf stock is hot, but investors should exercise caution This is the latest major data center deal as big tech races to build enough capacity to meet current and projected future demands. It's hard to overstate just the scale of the efforts. Google, Amazon, Microsoft, and Meta Platforms alone are expected to spend roughly $400 billion next year and are on track to spend more than $350 billion this year. That's not total capital expenditures (capex), that is specifically data center capex. While this presents an enormous opportunity for data center providers, it also presents an enormous risk. I believe that the big tech companies are very purposefully making deals such as this one to offload the risk onto third parties. TeraWulf and other infrastructure companies like it are taking on enormous amounts of debt at very high interest rates. If there is an overbuild or AI demand sags, TeraWulf could find itself in a pretty precarious position. Should you invest $1,000 in TeraWulf right now? Before you buy stock in TeraWulf, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and TeraWulf wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $649,544!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,113,059!* Now, it's worth noting Stock Advisor's total average return is 1,062% — a market-crushing outperformance compared to 185% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Johnny Rice has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, and Microsoft. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. Why TeraWulf Stock Is Skyrocketing Today was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
8 minutes ago
- Yahoo
Apple Supplier Foxconn Doubles Down On AI: Server Sales Now 41% Of Revenue
Aug 14 - Foxconn (FXCOF) Hon Hai Precision Industry (the world's largest iPhone maker) leans into AI with a blockbuster quarter and an ambitious expansion plan. The company posted NT$1.79 trillion ($59.7B) in revenue for Q2 and net income of NT$44.36 billion, beating SmartEstimates. More important: server products for AI workloads now drive the business, accounting for 41% of sales versus 35% from consumer electronics. Warning! GuruFocus has detected 8 Warning Signs with FXCOF. Foxconn expects AI-server revenue to surge more than 170% year-over-year this quarter as demand for Nvidia (NASDAQ:NVDA)-powered infrastructure climbs. Management also reported operating profit of NT$56.6 billion, above forecasts, and flagged further growth as it expands data-center work and takes a stake in TECO to support industrial-scale AI builds. Geopolitics complicate the picture: trade tensions and tariff threats pushed Foxconn to move much iPhone final assembly to India and spur a $1 billion North America investment plan from a subsidiary to blunt U.S. tariff risk. Still, Foxconn shows pivoting power, it shifts from phone assembly toward AI servers, EV assembly and semiconductor bets, aiming to turn hardware muscle into long-term cloud and AI revenue. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
8 minutes ago
- Yahoo
Wedbush: Nvidia, AMD China AI Deal a 'Bullish Catalyst' for Big Tech
Aug 14 - Wedbush is calling it a bullish sign for the AI sector. Nvidia (NASDAQ:NVDA) and Advanced Micro Devices (NASDAQ:AMD) are reportedly getting the green light to sell AI chips in China, provided they hand over 15% of profits to the U.S. government. According to sources, Nvidia will share revenue from its H20 AI accelerator, while AMD will do the same with its MI308 chips. Warning! GuruFocus has detected 5 Warning Signs with NVDA. Analyst Daniel Ives said this unusual arrangement removes a key growth barrier for the AI industry, with potential ripple effects for U.S. Big Tech leaders like Microsoft (MSFT), Palantir Technologies (PLTR), Alphabet (NASDAQ:GOOGL), Meta Platforms (NASDAQ:META), and Amazon (NASDAQ:AMZN). Ives noted that keeping the blockade on Nvidia's H20 would have been a gift to Huawei, potentially worth $15 billion annually, and a blow to U.S. competitiveness. He emphasized the U.S. now holds the edge in AI, a first in three decades but warned China's tech giants, including Alibaba (NYSE:BABA), Baidu (BIDU), Tencent (TCEHY), and Xiaomi (XIACF), are ramping up fast. The Middle East's AI push is another battleground, with Saudi Arabia and the UAE looking to U.S. firms for infrastructure and expertise. Wedbush sees the 15% fee as a small price for massive market access. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data