Can AI Improve Security Decisions? It Depends on Your Data

Security leaders already turn to AI for vendor evaluations, board prep, and policy work—the problem is generic AI answers aren’t grounded in what real organizations have done. As the first Model Context Protocol server delivering practitioner-validated intelligence directly into clients’ native tools, IANS MCP Server fixes that, starting with Claude. Read on to see how you can elevate your AI outputs from generic to trustworthy.  

Who's behind your AI answers?

AI has been a lifeline for shirking security teams navigating increasing workloads and board expectations. The vendor evaluations, executive presentations, or policy drafts that once took days can now be pulled together in minutes.

But are your AI answers reflective of today’s InfoSec reality? The answer determines whether the guidance behind your decisions comes from live practitioner experience or from an educated guess. Generic AI is designed for everyone and pulls information from everywhere. It’s not built on a record of what security teams like yours have done. It has no expert judgment behind it, and no way to separate a vendor pitch from an honest assessment.

"CISOs don't want a plausible plan,” says Wolfgang Goerlich, IANS Faculty Member. “They want to know what a peer at a similar organization actually did, what it cost, and whether it worked.”

Without experts' intelligence behind your answers, you could:

• Waste budget: Wrong moves cost money.
• Erode credibility: Decisions that can't survive scrutiny cost trust.
• Expose your organizations: Flawed decisions can open dangerous security gaps
• Stall progress: Decisions that must be redone aren't fast

Yet most AI tools have no way to tell you what that peer did, so you’re left guessing whether the plan in front of you is proven or just plausible.

IANS MCP: practitioner-sourced answers

The solution is not less AI, but a better source behind it. The IANS MCP brings IANS practitioner intelligence directly into the AI tools your team already uses, starting with Claude and with support for additional AI tools rolling out later in 2026. Security teams can access expert guidance, peer experiences, and vendor-neutral recommendations within your existing workflow. 

That distinction, between a plausible answer and a proven one, is the core of what the IANS MCP is built to deliver. It’s also what separates advice you can act on from advice you hope is right.

Take AI governance policy as an example. Nearly every security team has one, but as compliance mandates evolve, teams are forced to make updates often. 

With generic AI, you get:

• A reasonable but generic starting point
• No visibility into what similar organizations have done
• No practitioner expertise behind the recommendation

With IANS MCP, you can:

• Pull context directly from the IANS Intelligence platform: real security leader interactions, practitioner guidance, and benchmark data
• Redline the policy directly, right as the prompt, with real-time IANS Faculty guidance of dated NIST and ISO references
• Act on those insights immediately, turning a document workflow that used to take hours into one that takes minutes.

The value extends beyond policy: board-ready risk summaries, vendor evaluation frameworks, compliance gap analysis, peer benchmarking, and third-party risk reviews. Here’s what that looks like:

• Peer intelligence: Practitioner insights drawn from more than 170 experts and thousands of anonymized peer conversations. 
• Customized advice: Recommendations tailored to your industry, team size, and organizational context. 
• Execution-ready outputs: Board-ready summaries, vendor evaluation frameworks, policy updates, and other immediately usable deliverables. One organization ran 17 queries in a single vendor evaluation, while another used IANS MCP throughout a three-day SOC design project.
• Direct practitioner access: Faculty expertise available on demand when the stakes are too high for an algorithm alone. 

Insight from early adopters

Early adopters have been running the IANS MCP since the spring to elevate board decks and everyday security questions.  

A healthcare CISO saw the impact directly: Claude, pulling from IANS MCP, surfaced real improvements to an upcoming board risk review. At an energy technology company, a CISO asked about phishing-resistant MFA options for Microsoft Entra without mentioning IANS and received the Faculty perspective folded right into the answer. “I didn't have to both ask Claude and search the portal,” the CISO said. “I got both answers at the same time.”

The heaviest demand so far is concentrated where static research cannot keep pace: AI agent and MCP security, phishing-resistant authentication, and cyber risk quantification. These are the fast-moving areas where AI’s speed, combined with practitioner grounding, matters most.

AI has already become part of the security workflow. The question is no longer whether teams will use AI, but whether they can trust what’s behind it. With the IANS MCP, security leaders can now bring practitioner-validated intelligence directly into your AI tools. 

Stay tuned to see which AI tools we'll integrate with next.

Learn more about the IANS MCP.