DataKrypto Appoints Former Cisco VP Paolo Campoli as SVP and Chief Growth Officer to Accelerate Global Enterprise Adoption of Confidential AI Infrastructure
Campoli brings more than three decades of leadership across service providers, cloud, and enterprise digital infrastructure — including roles as Cisco's Global Head of the Service Provider Segment and CTO of the Service Provider Segment in EMEAR — to lead DataKrypto's global growth strategy as demand escalates for encrypted AI infrastructure that keeps models, prompts, and GPU memory continuously protected during training and inference.
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DataKrypto, an emerging leader in Confidential AI and encrypted AI infrastructure, has appointed Paolo Campoli — former Vice President at Cisco — as its SVP and Chief Growth Officer. In this role, Campoli will lead DataKrypto's global growth strategy, accelerating enterprise adoption of Confidential AI solutions by expanding strategic ecosystem partnerships, aligning with AI platform providers, and driving go-to-market initiatives across regulated industries and global infrastructure operators. The company and Campoli will both be attending RSA Conference (RSAC) 2026, taking place March 22–26 in San Francisco.
The appointment arrives at a critical juncture for enterprise AI adoption. Data security concerns have become one of the primary friction points slowing the deployment of AI in regulated industries — financial services, healthcare, government, and critical infrastructure — where organisations hold sensitive data they are legally, contractually, or competitively unable to expose to external AI systems or cloud inference environments where data is processed in plaintext. DataKrypto's thesis is direct: without confidentiality, AI is not enterprise-ready. Campoli's mandate is to translate that thesis into scaled enterprise and partner deployment.
"The market is realising that without confidentiality, AI is not enterprise-ready. Paolo's technical roots, deep ecosystem and go-to-market expertise are the perfect match for our mission: building the foundational encryption layer for the AI-native enterprise — redefining AI's security foundation through encrypted computation, secure cross-hardware runtime execution, and verifiable, regulator-ready confidential AI."
— Ravi Srivatsav, CEO, DataKrypto
Paolo Campoli — Three Decades Shaping Global Infrastructure and Ecosystem Strategy at Cisco
Campoli's career spans more than three decades of leadership across service providers, cloud, and enterprise digital infrastructure. At Cisco, he served as Global Head of the Service Provider Segment, leading go-to-market strategy and supporting large-scale transformation initiatives with carriers, hyperscalers, and cloud providers worldwide. He also served as CTO of the Service Provider Segment in EMEAR, helping shape next-generation network architecture and innovation strategies across one of the world's most complex and consequential technology markets.
Those roles placed Campoli at the intersection of infrastructure scale and ecosystem complexity — precisely the terrain that DataKrypto needs to navigate as it expands Confidential AI from a technically validated innovation into enterprise-critical infrastructure. His experience working with Managed Service Providers (MSSPs), Systems Integrators, OEM partners, and hyperscale cloud operators gives him the channel and partner relationships that a company at DataKrypto's stage needs to reach regulated enterprise customers at speed. Campoli holds a Doctorate in Electronics and Telecommunications from the Polytechnic University of Milan and has advised global technology providers and infrastructure operators on secure digital transformation.
"Enterprise AI adoption is being slowed by data security concerns. Throughout my career, I've seen how ecosystem players collaborate to bring transformative technologies to market. AI will be no different. I joined DataKrypto because this is addressing the elephant in the room with AI: running encrypted data in encrypted models, protecting user information, model IP and creating the foundation for Sovereign AI. The initial response from enterprises, MSSPs and partners has been remarkable. Confidential AI gives enterprises the platform to innovate without compromising their most sensitive data."
— Paolo Campoli, SVP and Chief Growth Officer, DataKrypto
What DataKrypto Actually Builds — FHEnom for AI and Encryption as an Architectural Property
Understanding why this appointment matters requires understanding what DataKrypto's technology actually does — and why it is architecturally distinct from conventional AI security approaches. Most AI security frameworks protect data at rest and in transit, but leave data exposed as cleartext during the processing stage, where models, prompts, and GPU memory are necessarily decrypted to be computed on. This is the gap that creates the confidentiality problem: even in otherwise secure environments, the inference and training processes themselves represent windows of exposure.
DataKrypto's flagship product, FHEnom for AI™, eliminates that gap by keeping models, prompts, and GPU memory continuously encrypted throughout training and inference — ensuring that computation runs directly on ciphertext rather than on decrypted plaintext. This is not encryption layered around an AI system as a security control: it is encryption as a continuous property of the computation architecture itself. The result is an AI infrastructure where sensitive data, proprietary model weights, and inference outputs are never exposed as cleartext at any stage of the pipeline — a requirement that is increasingly non-negotiable for regulated industries and sovereign AI deployments where data residency and model confidentiality carry legal and strategic weight.
"AI is reaching an inflection point where innovation must be matched with uncompromising confidentiality. Paolo brings tremendous experience scaling global technology ecosystems, and his leadership will be instrumental as DataKrypto expands Confidential AI adoption and helps enterprises deploy AI securely at scale."
— Luigi Caramico, Founder and CTO, DataKrypto
The Go-to-Market Strategy — Regulated Industries, MSSPs, Systems Integrators, and Sovereign AI
Campoli's mandate as CGO encompasses scaling enterprise-grade Confidential AI deployments across regulated industries through collaboration with AI platform providers, cybersecurity and OEM partners, Systems Integrators, and Managed Service Providers. That channel architecture reflects the reality of how security infrastructure reaches regulated enterprises: rarely through direct sales alone, and almost always through the trusted partner and integrator relationships that large organisations rely on for compliance-sensitive technology deployments.
The Sovereign AI angle is particularly significant. As governments and large enterprises in regulated markets seek to retain control of their AI infrastructure — ensuring that model weights, training data, and inference outputs never leave sovereign or organisationally controlled environments — the demand for encrypted computation architectures that can guarantee confidentiality without sacrificing performance is growing rapidly. DataKrypto's FHEnom for AI positions the company directly at that intersection, and Campoli's experience with hyperscalers, carriers, and global infrastructure operators provides the relationship depth to pursue it at scale. More information is available at datakrypto.ai.
Key Takeaways
- DataKrypto has appointed Paolo Campoli — former Cisco Global Head of Service Provider Segment and CTO of Service Provider Segment EMEAR — as SVP and Chief Growth Officer, charged with accelerating global enterprise adoption of Confidential AI through ecosystem partnerships with AI platform providers, cybersecurity OEMs, Systems Integrators, and MSSPs
- Campoli's three decades at Cisco spanning service providers, cloud, and enterprise digital infrastructure — plus a Doctorate in Electronics and Telecommunications from the Polytechnic University of Milan — give him both the technical credibility and the partner ecosystem relationships required to scale Confidential AI from validated innovation to enterprise-critical infrastructure
- DataKrypto's flagship product FHEnom for AI™ addresses the most fundamental gap in conventional AI security: data remains exposed as cleartext during inference and training even in otherwise secure environments — FHEnom keeps models, prompts, and GPU memory continuously encrypted throughout computation, making encryption a continuous architectural property rather than a perimeter control
- The Sovereign AI opportunity is central to DataKrypto's growth strategy — as governments and regulated enterprises increasingly require that model weights, training data, and inference outputs never leave sovereign or organisationally controlled environments, encrypted computation architectures that guarantee confidentiality without performance sacrifice are moving from niche to strategic requirement
- DataKrypto and Campoli will be present at RSA Conference 2026 (March 22–26, San Francisco), welcoming meetings with enterprise leaders, ecosystem partners, and media interested in advancing secure AI adoption — reflecting the company's positioning at the intersection of cybersecurity and enterprise AI infrastructure at one of the sector's most significant annual gatherings