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Business Wire
22-05-2025
- Business
- Business Wire
Pixee Raises $15M to Automate Code Security to Meet the Velocity of GenAI-Enabled Developers
BALTIMORE--(BUSINESS WIRE)-- Pixee, the creator of innovative solutions that empower security teams to match the productivity of AI-powered development, announced today that it has raised $15M in seed funding. The round was led by Decibel and Wing VC, with participation from TEDCO, PrimeSet and strategic investors, including early GitHub engineer Zach Holman, HackerOne Founder and CTO Alex Rice, Oracle SVP of Cloud Operations Brian Chess, and more. The new capital will accelerate Pixee's product development and expansion of the go-to-market team, enabling the company to scale adoption among enterprises and capture the growing demand for its AI-powered solution. Early enterprise customers have seen substantial benefits from adopting Pixee, including recapturing 91% of developer remediation time and cutting security triage time by 74%. Automated code fixes achieve an impressive 76% merge rate. Pixee is the first enterprise-grade tool that uses agentic AI for context and logic alongside deterministic techniques, delivering both intelligent vulnerability triage and accurate, trusted fixes. It integrates directly into developer workflows, including GitHub, GitLab, Bitbucket, and Azure DevOps, creating pull requests with ready-to-accept code. Purpose-built for security-conscious enterprises, the on-premises deployment option keeps customers' sensitive data, intellectual property, and source code fully under the customer's control. This eliminates the risk of data leaks or exposure to unregulated AI tools, ensuring strong trust, security, and protection. 'Developers are more prolific today than ever before, especially those leveraging the latest genAI tools like Cursor, Claude Code & GitHub Co-pilot,' said Surag Patel, co-founder and CEO of Pixee. 'It's time application security teams are empowered with a platform that enables them to 10X their team and keep pace with their counterparts. By focusing on capabilities like automated, production-ready code fixes directly into developer workflows and automating expert automated triage for security, enterprises can now ship secure code at unprecedented velocity. Teams can trust that any vulnerabilities within code are being resolved faster than new ones can be introduced.' IDC projects that by 2027, 70% of corrective code fixes for application security issues will be generated by AI-assisted automated remediation tools, reducing the time to patch vulnerabilities to just days. The report also found that developers estimate spending 19% of their weekly hours on security-related tasks, often outside normal working hours. The average organization spends a whopping $28,100 per developer each year in security-related tasks. 'It's time Application Security teams have their 'Cursor' equivalent platform. Pixee is the first platform we've seen that truly changes the equation in security programs and enables them to keep up with the pace of developers. By natively weaving into the developer workflow and automating work that previously was a tax on developers and security teams, security gets done automatically. Instead of the same story of understaffed product security teams, we finally have a path to the enterprise dream,' said Dan Nguyen-Huu, Partner at Decibel. 'At the heart of Pixee is a powerful insight: genAI-fueled developer productivity and security can coexist without friction. By automating the complex tasks of resolving issues from product security scanners, Pixee allows developers and security teams to reclaim valuable time, driving innovation and delivering higher quality software, faster,' added Jake Flomenberg, Partner at Wing. Pixee was founded by industry veterans with decades of experience in security and developer enablement. Co-founder and CEO Surag Patel was the Chief Strategy Officer at Contrast Security, and held leadership roles at 41st Parameter (acquired by Experian), comScore, and InMobi. Co-founder and CTO Arshan Dabirsiaghi co-founded cybersecurity unicorn Contrast Security and is recognized as one of the world's most prominent application security experts. Together, they are building Pixee to redefine how security is managed in the development process. About Pixee, Inc. Pixee is the first enterprise-grade platform that automates the last mile of application security, from alerts to resolution. The company's technology integrates directly into developer workflows, using a combination of agentic AI and deterministic techniques to deliver trusted, automatic code fixes with an 87% merge rate. Founded by security industry veterans Surag Patel and Arshan Dabirsiaghi, Pixee is backed by Decibel, Wing VC, and strategic investors including early GitHub engineer Zach Holman and HackerOne Founder Alex Rice. For more information, visit
Forbes
07-05-2025
- Business
- Forbes
Worried About AI-Generated Code? Ask AI To Review It
Software developers are under pressure to work more quickly getty In a fast-paced world, every organisation is under huge pressure to develop its digital products and services more quickly than its rivals. Artificial intelligence (AI) can be a huge help. Microsoft CEO Satya Nadella told the LlamaCon AI conference last week that as much as 30% of its new code is now written by AI. Meta's Mark Zuckerberg told the same event that half of its development work could soon be done by AI. Google has said AI already writes 25% of its code. It's a phenomenon that is gathering pace. Dario Amodei, Anthropic's CEO, reckons 90% of code will be AI generated within three to six months. Given that his business is all about promoting the take up of AI, he would say that – but the direction of travel now seems very clear. All of which is good news in many ways, particularly for businesses struggling to get apps, website updates and other digital initiatives out of the door more quickly. Small businesses, for example, can use the technology to compete on a level playing field with much larger organisations. But there are also potential problems – especially the risk of AI writing bad code. Indeed, one survey published earlier this year warned that more than half of software engineering leaders were finding AI-written code came with deployment errors – and that it forced them to spend more time debugging code. "AI tools have the potential to dramatically reduce this burden by automating repetitive tasks, streamlining workflows, and freeing developers to focus on creative problem-solving and innovation,' says Jyoti Bansal, CEO of Harness, which published the research. 'But let's be clear: AI is not a silver bullet.' Amartya Jha, co-founder and CEO of CodeAnt AI, could not agree more. 'It doesn't matter how fast you produce code; what's really important is how well that code performs," Jha says. 'Is it free of bugs and security issues – and is it optimised for the purpose it is designed for?'. In practice, Jha argues, such questions mean that the advent of AI-written code has created a new problem for the software engineering community – more resources are required to check all this content. 'As AI-driven coding becomes widespread, the real bottleneck isn't writing code – it's reviewing it,' he warns. It won't surprise you to know that CodeAnt AI believes artificial intelligence itself is the answer. The company is today announcing its first institutional funding round, a $2 million seed raise, as it seeks to commercialise a product aimed squarely at the issue the industry is now dealing with. Its platform integrates directly with developer workflows such as GitHub, GitLab, Bitbucket and Azure DevOps to provide almost instantaneous feedback on code quality, security and compliance. The reviews also come with one-click fixes that developers can use to rectify problems identified. So far, Jha and his colleagues have signed up around 50 paying customers to its platform – the equivalent of around 10,000 users now using CodeAnt AI to review the code they're writing. The funding round, led by Y Combinator, VitalStage Ventures' Brian Shin and Uncorrelated Ventures, with participation from DeVC, Transpose Platform, Entrepreneur First, will help the business develop the product further and recruit additional engineering capacity. CodeAnt AI co-founders Amartya Jha and Chinmay Bharti CodeAnt AI It's a potentially fast-growing market give the sheer volume of AI-generated code out there. CodeAnt AI aims to rival market leaders such as CodeRabbit, which last year announced a $16 million Series A round, revealing that it had around 600 organisations using its code review platform. Businesses including Bito, CodiumAI, Coderbuds and CodeFactor operate in a similar space. CodeAnt AI's investors believe there is plenty of work to go round. Tom Blomfield, a partner at Y Combinator, says: 'With more and more code being generated by AI, code review has never been more important – CodeAnt ensures that only high-quality code makes it into production.' Shin is also optimistic. 'In a world where AI is rapidly democratising code generation, the bottleneck has shifted to validation,' he says. 'This leap forward empowers engineering teams to ship faster while catching issues earlier – a foundational advantage in today's software-driven economy.' CodeAnt AI's customers see the benefits too. One early adopter is the vehicle data company Motorq, where tech lead Sundaraman Venkataramani says: ' Their AI-driven code reviews, real-time feedback and robust security features have streamlined our development process allowing us to focus on core domain challenges.' That will sound promising to organisations suffering the kind of issues identified by Harness. Its survey found 59% of developers had experienced deployment errors at least half of the time when using AI tools, 92% believed that AI increased the "blast radius" from bad code reaching production, and 68% spent more time resolving AI-related security vulnerabilities. 'Without proper governance, security validation, and clear organizational policies, these tools can inadvertently add to developer stress rather than alleviate it,' Bansal adds.
