As artificial intelligence (AI) continues to reshape industries, architecture and engineering (A&E) firms are increasingly integrating AI into their workflows, from generative design and project planning to predictive maintenance and client engagement. While the benefits are compelling, this digital transformation introduces new cybersecurity challenges that firms must proactively address.
At Deltek, we understand the unique needs of A&E firms and the importance of balancing innovation with security. October marks Cybersecurity Awareness Month, a timely reminder of the critical role proactive safeguards play in protecting firms from evolving digital threats. Here's a closer look at the pros and cons of AI adoption through the lens of cybersecurity.
The Promise of AI for A&E Firms
AI offers many benefits that can significantly improve the operation of A&E firms. By automating repetitive tasks and streamlining workflows, AI enables teams to work more efficiently and focus on higher-value activities. For example, generative design tools can produce multiple design iterations in a fraction of the time it would take manually. At the same time, predictive analytics can help firms anticipate project delays or budget overruns before they occur.
Beyond operational efficiency, AI also enhances decision-making. Machine learning algorithms can analyze vast amounts of data to uncover patterns and insights that inform better project planning and execution. For example, Dela™ leverages purposeful innovation to enhance productivity, accuracy and value across the project lifecycle. By harnessing the power of AI, Dela unlocks transformative benefits for powering project success.
Cybersecurity Risks in an AI-Driven Environment
According to the latest Deltek North America Clarity A&E Industry Study, cybersecurity remains a top concern for firms. Nearly one in three firms (28%) identified it as their top challenge, and 22% reported experiencing a cyber threat or attack, up from 19% last year. Meanwhile, UK firms are equally concerned about cybersecurity, with over a third of firms experiencing a cyber attack in the previous 18 months, as highlighted in the Deltek UK Clarity Industry Study. Therefore, it's unsurprising that the percentage of firms in the UK that view cybersecurity as very important has increased from 48% in 2024 to 58% this year, with 79% of firms planning to increase their investment in cybersecurity measures. The data underscores the need for stronger threat detection, secure system architecture and employee awareness training.
While AI offers powerful opportunities for Architecture & Engineering (A&E) firms, it also introduces new risks that can compromise security and trust. Understanding these vulnerabilities is essential to striking the right balance between innovation and protection. Below are the key risks firms should keep in mind when integrating AI into their workflows:
- Data Security Risks
AI systems rely on vast amounts of information, including proprietary designs, client records, and operational data. If not properly secured, this sensitive information becomes a prime target for cyberattacks.
- Model Manipulation
AI algorithms can be vulnerable to adversarial attacks, where malicious actors input misleading data to distort results. Such manipulation can compromise system integrity and have serious consequences in contexts where accuracy is critical, such as design and planning.
- Third-Party and Cloud Vulnerabilities
Many AI tools depend on external vendors or cloud-based platforms. Without thorough vetting, these integrations can open the door to security gaps that attackers may exploit.
- Reduced Human Oversight
Increased automation can decrease direct human monitoring. This creates blind spots where anomalies or malicious activities might go unnoticed, heightening operational risk.
Best Practices for AI Adoption
To mitigate these risks, A&E firms should adopt a proactive approach to cybersecurity as they implement AI. Establishing strong data governance policies is essential. Firms should define clear protocols for data collection, storage, and access, ensuring that sensitive information is encrypted and only accessible to authorized personnel.
Vendor due diligence is also critical. Before integrating any AI solution, firms should evaluate the provider's cybersecurity posture and confirm compliance with industry standards and regulations. Continuous monitoring of AI models is another key strategy. By regularly reviewing outputs and using explainable AI tools, firms can detect signs of manipulation or performance drift.
Employee training plays a vital role in maintaining cybersecurity. Staff should be educated on the risks associated with AI and trained in best practices for data handling and system oversight. “AI is a force multiplier, but only when people are trained to use it thoughtfully. Quick answers aren’t enough. You need to understand the why behind the response,” said Becca Harness, VP and CISO at Deltek.
Finally, firms should develop a comprehensive incident response plan that includes scenarios specific to AI-related breaches or failures.
Support for Secure Innovation
Deltek is committed to helping A&E firms innovate with confidence. Our solutions are designed with cybersecurity at the core, offering secure cloud infrastructure, compliance with industry regulations, and integrated data protection tools. We also provide expert guidance to support firms through their digital transformation journey.
“One of Deltek’s differentiators is how deeply our product and security teams collaborate. We’re not just reacting—we’re planning 12, 18, even 36 months ahead to meet evolving compliance demands.”
– Becca Harness, VP and CISO, Deltek
Whether you're just beginning to explore AI or looking to scale its use across your organization, Deltek offers the tools and insights needed to move forward securely.
AI is more than a trend, it's a strategic asset for A&E firms seeking to stay competitive in a rapidly evolving industry. But with its adoption comes a responsibility to safeguard data, systems, and client trust. By understanding the risks and implementing best practices, firms can unlock AI's full potential while maintaining a strong cybersecurity posture.
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