CCI staff share recent surveys, reports and analysis on risk, compliance, governance, infosec and leadership issues. Share details of your survey with us: editor@corporatecomplianceinsights.com.
85% of DIB concerned about AI assault from US enemies
The defense industrial base (DIB) fears AI-powered cyber attacks and firms aren’t confident they can detect such an assault from enemies of the US, according to a survey by compliance and security automation platform Secureframe.
The survey found 85% of DIB companies anticipate AI-powered attacks and deepfake social engineering will affect them within two years while only 28% feel fully confident in their ability to detect nation-state cyber threats. About half (46%) said they were somewhat confident they could assess such a threat despite gaps in their cybersecurity, and 11% said they were not confident in their protections against nation-state cyber attacks.
Secureframe surveyed 850 defense contractors, subcontractors, certified third-party assessor organizations and federal suppliers at its recent industry event.
The survey also found 27% of defense organizations experienced a supply chain compromise in the past year, but only 13% created a software bill of materials.
Other key findings include:
- 46% of the DIB surveyed said the threat they were most concerned with was escalating nation-state aggression against US infrastructure.
- 60% consume standard government threat intelligence news, yet only 29% participate in industry-specific threat-sharing groups.
- 22% of organizations are still defining where controlled unclassified information lives within their networks, which the survey posits as a critical step to keeping security programs cost-effective.
More than half of enterprises don’t mind sacrificing data security for efficiency
Almost three-fifths of enterprises are willing to sacrifice data security for efficiency, according to a survey by database software company Redgate Software, which found that 58% of enterprises said they explicitly accept higher data security risks in exchange for efficiency gains.
The finding about security and efficiency comes as adoption of AI in database management nearly tripled for enterprises since 2025 while less than a quarter (23%) of those adopters have formal data governance, according to Redgate’s survey of 2,150 global IT professionals.
Survey respondents report benefits from AI in their core database activities, including data quality (51%), schema design (51%) and automation (50%), while nearly all respondents reported at least one benefit.
Most food & beverage companies lack enterprise AI as accuracy and governance concerns slow adoption
A majority of food & beverage companies have yet to formalize AI in their operations, and their hesitation is driven less by compliance than by trust, according to a survey by TraceGains, a compliance, quality and innovation solutions provider.
Of the 423 food quality, safety, R&D and governance professionals surveyed worldwide, 59% said their organizations do not have enterprise-level AI technologies in place within compliance and new product development workflows. When asked about the biggest obstacles to wider adoption, 30% cited concerns about AI accuracy and trustworthiness, 25% pointed to enterprise-grade security and data protection requirements and 24% identified regulatory and compliance safeguards.
The governance gap between formal adoption and actual workforce behavior is a related concern, with TraceGains noting that individual employees appear to be moving faster than corporate IT, raising data privacy and compliance risks in a highly regulated industry.
