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Why CISOs are right to be skeptical of AI — and what actually solves it

AI demos are easy. AI you’d actually trust near your control environment is not. If you’ve sat through a few of these pitches lately, you’ve probably landed on the same four questions every CISO we talk to is asking. And you’re right to ask them.

What we’re hearing from CISOs

Data and context. Effective deployment of AI use cases requires deep domain knowledge, as well as access to company-specific data and business context. Enterprise security and GRC data is messy and fragmented. Unless AI agents can see everything and reason about everything, they cannot go beyond superficial value like chatbots.

Accuracy. Bringing AI into security use cases places a high bar for accuracy and explainability. CISOs are looking for assurance that any AI they roll out can be trusted, doesn’t hallucinate, forces citations, and places a human in the loop for decision-making where necessary.

Provable ROI. CISOs are frustrated by AI demo-ware and are demanding measurable ROI. Any AI use case needs to solve problems at enterprise complexity and prove ROI at scale.

Security and governance. Any AI coming into the organization needs to demonstrate security guardrails. Compliance must be baked in, and the AI must know (and follow) the rules better than the user does.

None of this is unreasonable. It’s the bar. And we’d argue most “AI for GRC” offerings on the market today don’t clear it.

Meet Trusty

Trusty is TrustCloud’s AI platform that accurately automates hundreds of activities and workflows for CISOs and GRC teams. Trusty Agents are AI-powered assistants working alongside your team. Each Trusty agent brings a specific set of skills that enable it to solve a specific use case, purpose-built to give first, second, and third line experts the superpowers to scale their work.

But the product story isn’t really the point of this post. What we want to share is how Trusty was built because that’s what answers the four objections above.

The PLAID principle: People-Led, Assurance, and Impact Driven

TrustCloud’s AI platform has been built with the PLAID principle. It maps directly to what we keep hearing CISOs demand.

People-Led

Trusty is designed to augment GRC experts, incorporate feedback and fine tuning based on expert guidance, and deliberately place a human in the loop for ultimate decision-making control.

  • Expert training: Each AI agent is trained on real GRC practitioner workflows, institutional knowledge, and “ground truth” datasets. Agent performance is validated and fine-tuned by experts, and has to meet a threshold of confidence before being shipped to customers.
  • Human-in-the-loop: TrustCloud’s UX paradigm for AI agents involves a human in the loop to approve the agent’s work or recommendation for every consequential decision, exception, and edge case.
  • Transparent reasoning: Every agent transparently explains its reasoning for each response, giving you full observability and control.

We’ve all heard the “AI replaces your team” pitch. We don’t buy it either. Your experts stay in the driver’s seat. Trusty just helps them move faster.

Assurance

Trusty is designed to deliver high context and accuracy. Every AI result is explainable, auditable, and uses citations to make it hallucination-proof. Trusty has security and governance built in, aligned to industry standards.

  • Grounded citations: Agents provide citations for information retrieved from your control graph, and use RAG methods where grounding is essential. This eliminates hallucinations and ensures responses are backed by your GRC and security data.
  • Auditable output: Each agent output is auditable. You can go back and evaluate what the agent did, how it decided on the right behavior, and why.
  • Security governance: Each agent has security guardrails, undergoes regular security testing, and is governed by controls aligned with industry standards such as ISO 42001 and NIST AI RMF.

Our take: if an AI tool can’t show its work, it doesn’t belong anywhere near your control environment. Trusty shows its work every single time.

Impact driven

Trusty delivers high automation in complex enterprise environments, with built-in reporting to measure business impact and ROI.

  • Enterprise proven: All Trusty agents are designed and validated for enterprise complexity and scale.
  • Demonstrable ROI: Each agent reports in real time on the measurable human time saved or improved outcome delivered for each workflow or autonomous action, so you can report on ROI unlocked and business impact delivered across your program.

ROI shouldn’t be a leap of faith. Trusty tracks accuracy scores, security and compliance pass/fail status, automation hours saved, cost savings, and coverage. Every transaction, in real time.

Where we go from here

The CISOs we work with aren’t looking for another chatbot bolted onto their GRC stack. They’re looking for AI that knows their environment, defends its answers, follows the rules, and proves it earned its budget line. That’s the bar we built Trusty to clear.

That’s also the bet behind PLAID: people-led, so your experts stay accountable; high assurance, so every output stands up to audit; provable impact, so the value is visible to the board, not just the practitioner.

Trusty isn’t AI you have to trust on faith. It’s AI built to earn it, together.

The post Why CISOs are right to be skeptical of AI — and what actually solves it first appeared on TrustCloud.

The post Why CISOs are right to be skeptical of AI — and what actually solves it appeared first on TrustCloud.

*** This is a Security Bloggers Network syndicated blog from TrustCloud authored by Tejas Ranade. Read the original post at: https://www.trustcloud.ai/ai/why-cisos-are-right-to-be-skeptical-of-ai-and-what-actually-solves-it/