Boost developer productivity with AI while preventing security and legal issues
AI-assisted development is everywhere
Artificial Intelligence (AI) has been around for a while, but now it's growing faster than ever, especially with
new tools that help developers write code quickly. Despite AI's growth, many businesses are still behind in
determining ways to manage how AI is used in coding, applying governance, and guardrails. It is essential
to have processes and policies in place, but these guidelines aren't enough to eliminate all potential
problems that AI-assisted development brings. For example, workers might share sensitive information
carelessly, and it is expensive and difficult to put strong management practices in place. It can lead to
misuse, security issues, and legal problems.
Using AI to help with coding is tricky—it comes with risks, but it's also something businesses can't ignore.
Not using AI can harm developer happiness, decrease work efficiency, and lead to a business lagging
behind its competitors. This will stop a business from growing and innovating. There's also the risk of
AI being trained on bad data, making the system vulnerable and unreliable. And since there are so many
AI tools out there, developers can use whichever they like without any restrictions. This freedom can lead
to more problems, like inconsistency and security gaps.
The answer involves automating and orchestrating each stage of application development and delivery
with the necessary checkpoints to validate compliance. It ensures that the code produced by AI complies
with the company's guidelines and proactively assesses the risk of potential incidents.
By doing so, businesses can navigate the complexities of AI adoption, harness its potential benefits,
and pave the way for sustainable growth and innovation in an ever-evolving digital landscape.
Challenges
- Security and vulnerability: AI models may be trained on harmful data, leaving it open for vulnerabilities
- Concerns with data privacy: Developers may share confidential information or use copyrighted content.
- Quantifying ROI of AI is difficult: It is hard to isolate the impact of AI generated code and translate that into benefits.
“The Digital.ai AI-powered DevSecOps
platform accelerates the adoption and
governance of AI-assisted code at scale
by addressing legal and security risks.
We offer secure, release templates and
automated workflows to optimize code
deployment while enforcing business policies.
The guided workflows simplify application
onboarding and provisioning of cloud
environments.
Furthermore, our solution provides early
insights to predict and prevent code failures,
ensuring uninterrupted operations.”
Govern-AI assisted development while ensuring compliance
Manage risk & compliance of AI-generated code
Our solution safeguards your applications from the potential pitfalls of
AI-code-assisted development. We ensure a secure application delivery
process by giving pre-defined templates that match your company's
policies or the flexibility to create custom ones. These templates include
essential tasks such as analyzing open-source code, identifying and
addressing security vulnerabilities, and evaluating copyright issues.
This approach mitigates security and liability risks and aligns with best
practices, ensuring your business remains protected and compliant
throughout the development cycle.
Amplify developer experience while ensuring governance
With Digital.ai, you can easily optimize developer tasks through
user-friendly guided workflows, reducing the complexity of AI checkpoints while adding guardrails. Moreover, you can customize workflows to match your team's unique needs, onboarding new applications quickly and securely. This automation reduces reliance on manual processes to validate AI-assisted code development and boosts developer productivity by
shortening cycle times.
Predict risks and prevent application failure
Digital.ai AI-ML-powered DevOps solution proactively detects potential risks associated with application changes. Through our Change Risk Prediction feature, predictive change risk scores seamlessly integrate into your release process, ensuring reliable app delivery. Our algorithms assign a "credit score" to each change based on various factors, guiding it to the Change Advisory Board (CAB) or an automated release "fast lane" accordingly. This reduces failure risks, accelerates code releases, and enhances CAB efficiency, offering peace of mind by effectively pinpointing high-risk changes and safeguarding business operations.
The Digital.ai Difference
One platform that automates release pipelines and integrates complex toolchains. Unify app delivery, integrate existing tools & scale across any environment.
Automated mobile app testing and security designed to scale. Provide secure, high-quality apps with reduced risk through testing & threat monitoring insights.
Built-in AI, intelligence, compliance, and governance across all software delivery workflows. Centralize data, optimize processes, and gain augmented insights for faster, safer software delivery.
Digital.ai AI-powered DevSecOps platform
About Digital.ai
Digital.ai is an industry-leading technology company dedicated to helping Global 5000 enterprises achieve digital transformation goals. The company’s AI-powered DevSecOps platform unifies, secures, and generates predictive insights across the software lifecycle. Digital.ai empowers organizations to scale software development teams, continuously deliver software with greater quality and security while uncovering new market opportunities and enhancing business value through smarter software investments.
Additional information about Digital.ai can be found at digital.ai and on Twitter, LinkedIn and Facebook.
Learn more at Digital.ai
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