AI-Ready Cybersecurity

Secure the edge. Govern AI. Operate security with confidence.

Xebia’s Cybersecurity & AI Security solution helps organizations protect applications, APIs, networks, identities and AI adoption through a unified security approach. Built with Cloudflare and delivered by Xebia experts, it combines Zero Trust, application security, DDoS resilience, AI governance and managed operations into one practical operating model.

What’s not working

The Business Challenge

Security Tools Are Fragmented

Many organizations rely on separate point solutions for DNS, WAF, API security, Zero Trust and DDoS protection. This creates operational overhead, inconsistent policies and blind spots across environments.

AI Adoption Is Moving Faster Than Governance

Employees, teams and products are adopting AI tools quickly, while policies, logging, data controls and approval workflows often lag behind.

Applications and APIs Are Exposed

Public applications, APIs and AI-powered services face growing risks from bots, abuse, data leakage, prompt injection, jailbreak attempts and application-layer attacks.

Compliance Pressure Is Increasing

Regulations and frameworks such as DORA, GDPR, the EU AI Act, ISO/IEC 27001 and OWASP LLM Top 10 require organizations to prove control, accountability and continuous risk management.

Operations Need to Be Continuous

Security cannot stop at implementation. Organizations need runbooks, tuning, incident response, reporting and audit-ready evidence that keeps improving over time.

“From point security tools to an integrated platform: secure connectivity, protected applications, governed AI adoption — and operations that earn audit, not just survive it.”

Key Features

Zero Trust

Secure Access for Users and Workloads: Identity-driven access, private application protection, Secure Web Gateway capabilities, device posture checks and SASE roadmap support.

WAF, API and Bot Protection

Managed and custom WAF rules, API discovery, schema validation, bot management, rate limiting and attack surface reduction.

Governed AI and LLM Protection

AI Gateway controls, prompt and response visibility, DLP, provider analytics, unsafe topic filters, abuse controls and agent security patterns.

Resilient Edge and Network Defense

Authoritative and recursive DNS security, DDoS mitigation across L3, L4 and L7, traffic visibility, emergency response and availability hardening.

Operate, Improve and Prove Control

Human-led triage, AI-supported analysis, runbooks, L2/L3 support, incident response, KPI reporting and continuous security tuning.

Delivery Model

Xebia structures cybersecurity and AI security engagements around a practical four-phase operating rhythm: assess, implement, operate and continuously improve.

Assess & Design

We start by understanding your current exposure across applications, infrastructure and AI usage. Together with your teams, we identify risks, map data flows and assess how security controls perform today.

Based on this, we define a target architecture that brings edge security, Zero Trust and AI governance together. The result is a clear, prioritized roadmap that balances quick wins with long-term resilience and gives stakeholders a transparent view of effort, risk and impact.

Implement & Harden

We translate the target architecture into working security controls. This includes configuring the edge platform, implementing WAF and API protection, establishing Zero Trust access and introducing AI-specific safeguards such as filtering, monitoring and traffic control.

All components are integrated into your existing landscape, from identity to logging and SIEM. By the end of this phase, your applications, APIs and AI interfaces are actively protected and ready for secure operation at scale.

Operate & Improve

Security does not stop at go-live. We operate your environment with continuous monitoring, structured incident response and ongoing optimization of policies and controls.

You receive regular insights into threats, incidents and system performance, alongside concrete recommendations for improvement. This ensures your security posture evolves with your business, your architecture and the threat landscape.

AI-Supported Security Operations

On top of the operational model, we introduce an AI-supported security layer that enhances visibility and response across both traditional and AI-driven workloads.

This includes intelligent analysis of incidents, monitoring of AI interactions and continuous validation of policies. All outputs remain human-reviewed, ensuring that speed and automation are combined with control, accountability and audit readiness.

The Business Impact

Stronger Security Posture

Reduce exposure across applications, APIs, networks, identities and AI use cases with consistent controls and one operating model.

Faster, Safer AI Adoption

Enable employees and product teams to use AI with approved tools, protected data flows, monitoring and governance evidence.

Improved Resilience

Increase availability and attack readiness through DNS security, DDoS runbooks, edge mitigation and incident response preparation.

Lower Operational Complexity

Consolidate policies, visibility and workflows instead of maintaining disconnected security tools and manual processes.

Audit-Ready Governance

Align implementation and operations with compliance expectations, security standards and traceable evidence for risk owners and auditors.

Partnership

Cloudflare

A leading connectivity cloud platform that helps organizations secure, accelerate, and optimize applications, networks, and APIs at the edge. With a global network spanning hundreds of cities, Cloudflare delivers integrated capabilities including Zero Trust access, application security, DDoS protection, and AI traffic governance.

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Frequently Asked Questions

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Let’s discuss how we can support your journey.

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