Used well, AI can strengthen protection, improve decision-making, and help organizations manage complexity at scale. Used poorly, it can introduce new risks, from reduced transparency and over-automation to data leakage and misplaced trust in algorithmic outcomes. Many organizations are now asking the same questions: where does AI genuinely add security value, how can it be applied responsibly, and how do you stay in control?

Key areas where we support organizations:

Securing the use of AI

Sciber helps organizations identify opportunities to strengthen the security of their AI-enabled systems. Our approach includes end-to-end assessments of AI architectures and use cases, structured threat modeling, and practical hardening recommendations based on real-world experience securing complex environments. Where appropriate, we also support targeted threat-hunting and validation activities to ensure AI systems are resilient to evolving threats.

AI Agent Security – we help organizations design, deploy, and operate AI agents securely

• Agent security reviews & audits
  Assess existing AI agent designs to identify security risks, data exposure, and control gaps

• Threat modeling & pre-build risk assessment
  Evaluate attack paths, misuse scenarios, and governance risks before agents are developed or deployed

• Secure agent design & implementation
  Support the design and deployment of agents that securely collect and analyze data from internal systems to assist operational teams

• Custom agent development & API integration
  Design and build purpose-driven AI agents by securely integrating your APIs and data sources to deliver actionable insights

• Adoption of vendor AI agents
  Optimize security and operational workflows by evaluating, adopting, and governing third-party AI agents within existing platforms

Utilizing AI in cyberdefence

• Workflow Automation
  Design and build AI-enhanced security workflows that integrate across the cybersecurity estate to automate decisions, data processing, and response actions. Enhance existing or create new workflows using AI to combine, analyze, and enrich data while maintaining governance and human oversight.

• AI-Assisted Detection & Analysis
  Apply AI to improve signal quality, reduce noise, and identify patterns across large volumes of security telemetry. Support faster and more accurate analysis by augmenting traditional detection logic with AI-driven insights.

• Investigation, Enrichment & Decision Support
  Use AI to accelerate investigations through automated enrichment, correlation, and contextual analysis. Provide analysts and security teams with decision support that improves prioritization and response confidence.

• Threat Intelligence & Proactive Defence
  Leverage AI to process and correlate threat intelligence, identify emerging campaigns, and support proactive threat hunting and defensive improvements across the environment.

AI usage and sovereignty

• Data sovereignty & residency
  Assess and design AI usage to ensure data remains within required geographic, legal, and contractual boundaries, including how data is processed, stored, and retained.

• AI usage governance & control
  Define guardrails for how AI services, models, and agents may be used across the organization, including access control, approval flows, and acceptable-use policies.

• Model selection & deployment strategy
  Support decisions around public, private, and hybrid AI models, including tenant isolation, customer-managed keys, and deployment models aligned with sovereignty requirements.