Contour Software delivered a session titled Application Security in the Age of AI at Bahria University Lahore, according to a post shared by the company on LinkedIn. The session explored how artificial intelligence (AI) can help identify and address security vulnerabilities earlier in the software development process. Contour said it offered practical insights and real-world examples, highlighted the growing overlap between AI and cybersecurity, and encouraged future tech professionals to think critically about building secure applications. The company added that it is proud to see its people sharing their expertise and investing in the next generation of talent. The post does not name the speaker, give the date of the session, or say how many students attended.
Contour Software is a wholly owned subsidiary of Constellation Software Inc. (CSI), with offices in Karachi, Lahore, and Islamabad. According to its LinkedIn profile, its employees work on implementing, supporting, extending, enhancing, and renewing enterprise systems that power thousands of medium and large businesses and public institutions worldwide, and the company lists between 1,001 and 5,000 employees. Contour’s recruitment material describes CSI as the largest Canadian software company, formed in 1995 and publicly listed on the Toronto Stock Exchange in 2006. Sessions like the one at Bahria University Lahore are part of how software companies in Pakistan connect with computer science students, giving them exposure to practices used in commercial software development.
The topic is relevant because AI coding assistants are changing how software is written. Veracode’s 2025 GenAI Code Security Report, which tested more than 100 large language models on 80 coding tasks, found that AI-generated code introduced security vulnerabilities in 45 percent of cases. Java had the highest failure rate at over 70 percent, while Python, C#, and JavaScript fell between 38 and 45 percent. Veracode, which sells application security tools, also reported in its 2026 State of Software Security report that 82 percent of organisations now carry security debt, an increase of 11 percent from the previous year. These findings suggest that faster code production does not automatically lead to safer applications, which is a message that matters for students who will build software with AI tools from the start of their careers.
The session’s framing, in which AI helps find and fix vulnerabilities earlier, matches a broader push in the industry to use the same technology on the defensive side. Security vendors recommend combining static analysis, software composition analysis, and AI-assisted remediation with human review so that flaws are caught before code reaches production. Some practitioners also argue that finding problems earlier is no longer enough, because the volume of AI-generated code can overwhelm the capacity of security teams to review and fix what tools flag. Contour’s post does not describe which tools, vulnerabilities, or examples were covered in the session, so the specifics of its advice to students are not known. What the post does show is a company using a university platform to encourage future developers to treat security as part of building software rather than something added afterwards.
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