TurboDocx Featured on Get NIST-y Podcast: AI and Security - Partners or Opponents?

TurboDocx was featured on the Get NIST-y podcast, a show that transforms compliance from checkbox obligations into legitimate security advantages for managed service providers. In the episode "AI and Security: Partners or Opponents?", hosts Jared and Mike, alongside representatives from Everykey and TurboDocx, explored the critical question facing cybersecurity professionals today: whether artificial intelligence serves as an effective security tool or if its adoption is premature.

The Central Question: AI as Security Partner or Risk?

The 48-minute episode tackled one of the most pressing debates in modern cybersecurity: determining which security tasks can be confidently delegated to AI systems versus those requiring human judgment and expertise. As organizations increasingly adopt AI-powered security solutions, understanding this balance becomes critical to maintaining robust security postures while benefiting from automation's efficiency gains.

For MSPs and their clients, this question carries particular weight. Security incidents can have devastating consequences, yet manual security operations don't scale effectively as client portfolios grow. AI promises to bridge this gap, but only if deployed thoughtfully with clear understanding of its capabilities and limitations.

Key Discussion Topics

The conversation explored several critical dimensions of AI's role in cybersecurity operations:

• Task Delegation Framework: Identifying which security operations benefit from AI automation (threat detection, log analysis, pattern recognition) versus those requiring human oversight (incident response decisions, policy enforcement, risk assessment)
• Automation Maturity Levels: Understanding the spectrum from fully automated AI decisions to AI-assisted human judgment, and where different security tasks fall on that spectrum
• Practical Implementation: Real-world considerations for MSPs integrating AI security tools into their service delivery model
• Risk Management: Balancing the security risks of AI adoption against the operational risks of purely manual security operations
• Compliance Implications: How AI-powered security tools intersect with regulatory frameworks and compliance requirements

TurboDocx's Approach to AI and Document Security

TurboDocx's participation in this discussion reflects the company's broader philosophy on AI integration: leverage artificial intelligence where it demonstrably improves outcomes while maintaining human oversight for critical decisions. In document automation and e-signature workflows, this means using AI to extract information, populate templates, and streamline creation processes—but ensuring human review of final outputs, particularly for sensitive compliance documentation, contracts, and security-related materials.

The platform's TurboSign digital signature solution demonstrates this balanced approach. While AI assists in document preparation and workflow automation, the actual signature process maintains rigorous authentication and audit trails that meet compliance standards. Similarly, when generating security documentation, proposals, or compliance reports, AI accelerates creation while domain experts validate accuracy and appropriateness.

About Get NIST-y: Making Compliance Work for MSPs

Get NIST-y, produced by Blacksmith InfoSec, offers practical strategies to help MSPs transform compliance from burden to competitive advantage. Rather than treating security frameworks like NIST as checkbox exercises, the podcast explores how thoughtful compliance implementation strengthens actual security posture while meeting regulatory requirements.

The show's approach aligns closely with TurboDocx's mission: using technology and automation to make complex professional processes more accessible and efficient. Just as Get NIST-y demystifies compliance for MSPs, TurboDocx removes friction from document creation, enabling professionals to focus on strategic work rather than administrative overhead.

The Future of AI in Security Operations

As the episode explored, AI's role in cybersecurity will continue expanding, but success depends on understanding both capabilities and constraints. For MSPs, this means developing clear frameworks for when to trust AI-driven decisions versus when to require human validation. It means investing in AI literacy across security teams so professionals can effectively supervise and collaborate with automated systems.

Most importantly, it means recognizing that AI isn't replacing security professionals—it's changing what they spend time on. By handling routine analysis, pattern matching, and data correlation, AI frees security experts to focus on complex threat hunting, strategic planning, and client relationship management. This shift mirrors how document automation frees business professionals from template manipulation to focus on content strategy and client engagement.

Listen to the Full Episode

The complete conversation offers deeper insights into practical AI implementation for security operations, including specific use cases, common pitfalls, and recommendations for MSPs evaluating AI security tools. Listeners can also submit their own compliance and security questions for future episodes.

To learn more about Get NIST-y and submit questions for future episodes, visit Blacksmith InfoSec.

For MSPs interested in how TurboDocx can streamline proposal creation, compliance documentation, and client deliverables while maintaining security and accuracy, explore our document automation platform or learn about TurboSign's accessible e-signature solution.