
AI can accelerate development but introduces risks. ISO 27001 provides the trust framework to balance speed with security.
Artificial intelligence is transforming nearly every industry, with software development and cybersecurity being no exception. AI-assisted tools promise faster development cycles, streamlined security practices, and innovative approaches to problem-solving. But like any powerful new technology, these tools also pose serious risks. As organizations weigh the benefits of adopting generative AI (GenAI) in their workflows, they must grapple with the challenges of data security, reputational trust, and compliance.
This article explores the emerging landscape of AI in security and development, the key risks identified by industry surveys, and why certifications like ISO 27001 are becoming essential benchmarks for trust in a rapidly evolving market.
The adoption of AI tools in development environments has accelerated dramatically in the past two years. From generating boilerplate code to analyzing vulnerabilities and even automating threat detection, AI promises to revolutionize how developers and security teams operate.
CrowdStrike’s State-of-AI Survey highlights this enthusiasm: 29% of cybersecurity professionals are actively researching GenAI tools, and 35% report they are testing, purchasing, or already implementing these tools. This optimism stems from the real productivity gains AI can offer. Security teams can scan logs or anomalies at scale with AI models that would otherwise take hours of manual work. The promise is compelling: faster, smarter, and more resilient systems.
Yet the same survey also revealed that excitement comes with hesitation.
CrowdStrike’s survey data points to the top five concerns professionals have about adopting GenAI tools:
Beyond these survey insights, assessments like those from QwietAI raise additional concerns specific to internal development. AI-generated code often outpaces traditional review processes and can introduce vulnerabilities such as:
Because large language models (LLMs) lack security context, their outputs may also expose proprietary information. For organizations experimenting with AI, the speed advantage may inadvertently come at the cost of security.
In this environment of rapid innovation and risk, trust can become a deciding factor. Trust isn’t abstract, either. It’s directly tied to economic value:
The reverse is equally true. A breach or reputational scandal can devastate a company overnight. Loss of customer trust, investor pullback, or hostile regulation can spiral into long-term decline.
Few incidents damage trust more quickly than a data breach. The immediate consequences include:
These tangible losses are compounded by reputational damage that can last years. Customers are reluctant to return to a provider known for mishandling sensitive data, investors may hesitate to back risky ventures, and competitors capitalize on the breach to lure away clients.
As companies embrace AI-assisted development, the stakes grow higher. Continuous integration and deployment (CI/CD) pipelines make it possible to release features at lightning speed, but the same acceleration means vulnerabilities can slip through more easily.
To protect trust, organizations must demonstrate a serious commitment to security. This is where standards like ISO 27001 enter the picture.
ISO 27001 is an internationally recognized standard for information security management systems. It provides a framework of policies, procedures, and controls designed to protect sensitive information systematically and comprehensively.
Achieving ISO 27001 certification requires organizations to undergo rigorous audits conducted by accredited third parties. These audits examine how well the company identifies security risks, implements controls, and monitors compliance over time.
In contrast to other information security standards focused on compliance with a specific set of defined security controls, ISO 27001 is focused on setting up a comprehensive system within your organization designed to manage information security. Becoming ISO 27001 certified means establishing organizational controls for some of the following key components:
The certification is not just about compliance. It’s about building a culture of security that touches every level of an organization.
The benefits of certification extend far beyond the security department:
AI in security and development represents both an opportunity and a risk. While generative tools promise speed and efficiency, they also introduce new vulnerabilities, from insecure code to potential data leakage. Organizations that rush forward without adequate safeguards risk undermining the very trust that drives customer loyalty, investor confidence, and long-term success.
By pursuing ISO 27001 certification, companies can build robust defenses, align AI practices with recognized standards, and demonstrate their commitment to security in a market where trust is paramount.
At Doppler, we don’t just talk about security. We build it into everything we do. That’s why we’ve achieved ISO 27001 certification to demonstrate our commitment to the highest standards of information security management.
This certification is more than a badge. It’s an independent verification that Doppler has the policies, controls, and processes in place to protect customer data against evolving threats. For teams adopting AI, this assurance becomes especially important. As development cycles accelerate and risks grow, having a trusted partner means you can innovate without compromising security.
For our customers, ISO 27001 certification means:
Learn more about how we safeguard your data on our Trust Center, dive deeper into our security practices, or get a free demo to see how Doppler can help you on your path to compliance.



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