With Motific, Cisco Ushers in Generative AI Policy Management

With Motific, Cisco Ushers in Generative AI Policy Management

The News: On February 6 as part of Cisco Live EMEA, Cisco announced the preview launch of Motific, a SaaS product that helps organizations deploy trustworthy generative AI. An initiative born from Outshift, Cisco’s incubation business, Motific provides a centralized view across an organization’s generative AI, empowering IT and security teams to deliver generative AI across an organization with control over data, security, responsible AI, and cost.

Here are the key details:

  • Motific is a foundation model and vendor agnostic.
  • Cuts deployment times with compliance controls for over-usage, overrun spending, and integration of organization-specific data sources. It automatically configures assistants, abstracted APIs, and handles RAG.
  • Provides built-in policy controls that organizations can use or customize, enabling companies to provision based on their internal policies; controls for sensitive data (such as personally identifiable information [PII]), security (prompt injection, etc.), and trust-related risks (toxicity, hallucinations); and enterprise controls that detect and mitigate issues and risks for large language model (LLM) responses.
  • Tracks business process and prompt usage intelligence with ROI and cost analysis, including audit trail and key metrics tracking of all user requests. Deters shadow AI usage in organizations by providing visibility into the use of unapproved third-party generative AI capabilities and helps IT admins provision organizationally compliant alternatives.
  • General availability slated for June 2024.

Read the Cisco Motific press release here.

With Motific, Cisco Ushers in Generative AI Policy Management

Analyst Take: In-house development or outsource? When it comes to generative AI, the trend continues to be strong desire by most organizations to develop in-house generative AI capabilities. Which makes centralized generative AI command and control/policy control a very logical and desirable product. Cisco Outshift, leaning on historic experience with IT policy controls, drops a comprehensive and product-agnostic solution in Motific. What will the impact of Motific be? Here are my thoughts.

Parsing AI Management versus AI Governance

Products that provide observability, security, and control for generative AI are growing. Dynatrace and CalypsoAI offer similar products that are designed as overlay to any generative AI product and non-generative AI products that interact within an organization. The approach leans into legacy command and control/policy control systems, which have proven to be highly effective and popular. There is a certain amount of trust organizations have with legacy vendors in this space, including Cisco.

There is also a family of AI governance products, and even data governance products, that are related. In particular, there is IBM’s watsonx.governance and AWS’ Guardrails for Amazon Bedrock, which are products that help organizations manage generative AI systems, albeit both of these examples are not vendor product-agnostic; they work within only IBM and AWS constructs, respectively.

Will organizations need both types? Too hard to tell at this point. Will the similar/yet different products, AI management versus AI governance, cause confusion in the market? Probably, especially in the near-term, 8-12 months.

Are There Too Many Pieces to Connect?

One of the biggest challenges for Motific and other AI management systems is integration complexity. In the generative AI case, that could mean one or more foundation model integrations, third-party AI development platforms, such as Hugging Face, GitHub, Amazon Bedrock, Google Vertex AI, etc.; third-party or internal data management systems, third-party or internal computing platforms; and more. It will be interesting to see if these new AI management systems can connect all of the dots and how quickly they can do it. The good news is that legacy observability, security, and control products are used to such wide-ranging integrations.

Does Motific Favor Public or Private Cloud?

Organizations are in the process of deciding where generative AI operations will live for their use—public cloud or private (on-premises) clouds. Is Motific better suited for one or the other? Cisco Outshift executives told The Futurum Group in an interview that Motific works in either environment and that Cisco will go where customers go.

Conclusion

Although there are challenges to AI management products, the demand and need for them will grow dramatically over the next year. These are the types of systems, along with other types of governance tools, that will help organizations tame generative AI risks and to use AI more responsibly.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Guardrails for Amazon Bedrock Show AWS Gets Generative AI

Dynatrace Announces Intention to Acquire Runecast

Cisco Unveils Cutting-Edge Capabilities in AppDynamics

Author Information

Based in Tampa, Florida, Mark is a veteran market research analyst with 25 years of experience interpreting technology business and holds a Bachelor of Science from the University of Florida.

Related Insights
How Genesys and AWS Are Redefining AI-Driven Customer Engagement
July 24, 2026

How Genesys and AWS Are Redefining AI-Driven Customer Engagement

Keith Kirkpatrick, Vice President & Research Director, Enterprise Software & Di at Futurum, Genesys Cloud's expanded AWS partnership leverages agentic AI to transform enterprise customer engagement and enable autonomous interactions...
WEKA Engineers the AI Chassis to Conquer the Inference Power Paradox
July 24, 2026

WEKA Engineers the AI Chassis to Conquer the Inference Power Paradox

Brad Shimmin, VP and Practice Lead at Futurum, shares his insights on WEKA’s launch of the WEKApod 3 appliances and NeuralMesh 6 software. By taking total control of its hardware...
Solving the Distributed AI Dilemma: Oracle Base Database Cloud@Customer Brings OCI Automation to Local Workloads
July 24, 2026

Solving the Distributed AI Dilemma: Oracle Base Database Cloud@Customer Brings OCI Automation to Local Workloads

Brad Shimmin at Futurum analyzes Oracle's launch of Base Database Cloud@Customer X11, exploring how converged application VMs and local AI Database 26ai deployments solve data gravity and latency issues....
Conduent's AI-Powered CX Platform: A Major shift for Customer Engagement?
July 24, 2026

Conduent’s AI-Powered CX Platform: A Major shift for Customer Engagement?

Conduent sells its tolling business to Quarterhill for $70M to redirect resources toward AI platform services, capitalizing on surging demand as the AI market projects to reach $25.7B by 2026....
ServiceNow Q2 FY 2026: AI, Security, and Workflow Expansion Fuel Growth
July 23, 2026

ServiceNow Q2 FY 2026: AI, Security, and Workflow Expansion Fuel Growth

Futurum Research analyzes ServiceNow Q2 FY 2026 earnings, focusing on AI Control Tower adoption, security expansion, and workflow demand....
Alphabet Q2 FY 2026: Google Cloud Leads Growth Amid Rising AI Investment
July 23, 2026

Alphabet Q2 FY 2026: Google Cloud Leads Growth Amid Rising AI Investment

Futurum Research analyzes Alphabet’s Q2 FY 2026 earnings, focusing on cloud AI demand, Gemini adoption, Search monetization, and rising AI infrastructure spending....

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.