How to Protect Your Code in the Age of GenAI
And why an LLM-first security approach is the key to preventing vulnerabilities
Better, faster, and more efficient code
It seems like every developer is doing it these days, with 75% of enterprise software engineers will be using these tools by 2028.
But here’s a fact that should make security, risk, and compliance leadership sit up and take notice: around 80% of them are also bypassing security policies when using these tools. And this is the case even when using the most highly regarded tools out there.
A New Era of AI Code Assistants
GitHub Copilot
GitHub Copilot, has set a high bar for AI-driven coding assistance. Leveraging an extensive corpus of public code Copilot offers real-time code suggestions, contextually relevant snippets, functions and documentation.
Its integration into popular IDEs like Visual Studio Code amplifies its appeal, making Copilot an indispensable tool for many developers.
Amazon Code Whisperer
Amazon's CodeWhisperer now competes directly with GitHub Copilot, offering real-time code recommendations powered by machine learning.
Integrated into AWS's ecosystem, CodeWhisperer stands out with its emphasis on security and compliance, appealing to enterprises focused on code quality and regulatory standards
Google Duet AI
Duet AI has firmly placed Google on the map for code assistance.
This integration directly into Google Cloud operations and products offers developers a crucial advantage to streamline work and enhance productivity. By leveraging Google's extensive cloud infrastructure, developers can expect a seamless and efficient coding experience that boosts overall project efficiency.
GitHub Copilot
GitHub Copilot, has set a high bar for AI-driven coding assistance. Leveraging an extensive corpus of public code Copilot offers real-time code suggestions, contextually relevant snippets, functions and documentation.
Its integration into popular IDEs like Visual Studio Code amplifies its appeal, making Copilot an indispensable tool for many developers.
Amazon Code Whisperer
Amazon's CodeWhisperer now competes directly with GitHub Copilot, offering real-time code recommendations powered by machine learning.
Integrated into AWS's ecosystem, CodeWhisperer stands out with its emphasis on security and compliance, appealing to enterprises focused on code quality and regulatory standards
Google Duet AI
Duet AI has firmly placed Google on the map for code assistance.
This integration directly into Google Cloud operations and products offers developers a crucial advantage to streamline work and enhance productivity. By leveraging Google's extensive cloud infrastructure, developers can expect a seamless and efficient coding experience that boosts overall project efficiency.
Key Features and Benefits of Secure Code Assistant
Productivity
In studies conducted by the Nielsen Norman Group, programmers who used AI tools said that they could code 126% more projects every week.
Scalability
According to research by GitHub about its CoPilot Chat tool, 85% of developers say that they feel more confident in the quality of their code using GenAI.
Consistency
In addition to making better code in less time, developers using GenAI code assistants have reported gains in the consistency of their code.
Efficiency
Automating routine coding tasks, suggesting code improvements, and providing debugging support are transforming the programmer’s day-to-day experience.
Speed
Time-consuming manual searches, queries, and indexing are now a thing of the past and problem solving is accelerated to near real-time.
Compliance
Ensures adherence to industry standards and regulatory requirements such as ISO, SOC2, and AI global and regional laws and acts.
The Risks of AI-Generated Code
With all the benefits that GenAI code assistants bring to developers, it is critical to make sure that the team is also keenly aware of the risks that are involved.
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Popular approaches can’t rope in the LLM cyberthreat
In the effort to maintain robust posture and avoid the risks involved with GenAI assisted coding, organizations are seeking to put in place new security measures such as:
Enhancing code review processes
Expanding automations
Providing training and awareness programs to employees
Thorough processes, automations, and vigilance alone are not sufficient for ensuring that the code that is generated is reliable and doesn’t introduce security vulnerabilities.
But blocking access to GenAI tools is also not an option. Generative AI is here and it’s here to stay. The benefits are too great. When it comes to code assistants, it’s not a matter of ‘yay’ or ‘nay.’ It’s a matter of enabling development teams to reap all the benefits while avoiding the risk.
The answer is – to go beyond securing code with LLM specific protection that actually secures the very use of GenAI tools, as they are being used, but without disruption to developers, of course.
This is where the Secure Code Assistant from Lasso Security comes into play.
How Lasso can Secure Your Code Assistant from LLM Risks?
Lasso empowers developers to unlock the potential of AI-assisted coding without compromising security. Lasso have an in deep knowledge of the attack surfers, providing users with much more than just a secure code.
With a dedicated security solution like Lasso for Code Assistant, an intelligent LLM-first solution, they can ensure that every interaction with AI code assistants is secure, private, and compliant, and brings no disruption to their workflows.
The solution is an easy-to-install IDE plugin that seamlessly integrates into their environment, requiring zero coding and data science expertise. It operates between LLMs and developers, observing all data movements, and detecting dangerous inputs and unauthorized outputs.
With advanced code scanning it ensures that incoming code suggestions align with the organization’s security standards.
And by dynamically masking sensitive data and scrutinizing incoming code in real time, it prevents sensitive elements, such as credentials and proprietary logic from reaching AI assistants, sending alerts to users in the event that a threat is detected.
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