Inception Partners with Mirror Security to Deliver AI-Native Security for Public Sector and Enterprise
Inception, a G42 company, has partnered with Ireland-based Mirror Security to bring an integrated AI security stack to government bodies and large enterprises. The collaboration combines Inception's Agentic AI with Mirror Security's "Security of AI" platform to address trust, safety, and compliance from day one.
The goal is straightforward: help agencies deploy AI with confidence. This move also advances the UAE's push to build a trusted, competitive AI ecosystem that protects citizens, services, and sensitive data.
Why it matters for government agencies
AI adoption is accelerating across critical services, yet confidence in AI security is low. The World Economic Forum reports that 93% of cybersecurity leaders expect AI-driven threats to reshape risk within two years, while only a small fraction of organisations feel ready for it.
What the partnership delivers
- Security of AI, not just security with AI: Protection focused on AI models, agents, prompts, data flows, and toolchains.
- Coverage for single-agent and multi-agent systems: Policy enforcement, guardrails, and risk monitoring across complex workflows.
- Compliance-first controls: PII redaction, access governance, model and data lineage, audit logs, and policy templates for regulated use cases.
- Sovereign AI options: Data residency and model deployment choices that respect jurisdictional requirements and public sector mandates.
- Operational resilience: Continuous evaluation, threat detection, and protections against prompt injection, data leakage, and model abuse.
Built for real-world constraints in the public sector
Government programs face strict procurement, privacy, and oversight requirements. By pairing Inception's applied AI engineering with Mirror Security's controls, agencies get solutions that are dependable, scalable, and policy-aware from deployment through operations.
This includes support for model risk assessment, red-teaming, incident response playbooks, change management for model updates, and reporting needed for audits and parliamentary or executive reviews.
Regulatory readiness and sovereign compliance
The partnership is set up to help agencies meet current and upcoming AI rules while protecting sensitive data and critical infrastructure. Expect alignment with widely adopted standards and the ability to adapt as mandates evolve across jurisdictions.
For the UAE, this supports a national priority: secure, trusted AI across public services and strategic sectors. See the UAE's AI strategy overview for context: UAE Strategy for Artificial Intelligence.
What public sector teams should ask vendors now
- Model and data governance: Can you show end-to-end lineage, chain-of-custody, and audit logs for every inference and dataset?
- Threat coverage: How do you detect and block prompt injection, data exfiltration, tool abuse, and supply chain risks?
- Policy enforcement: Can we codify rules for privacy, content safety, and model use across single and multi-agent systems?
- Compliance: Do you provide controls and evidence packs for privacy laws, sector regulations, and sovereign data requirements?
- Operations: What's the plan for continuous evals, incident response, rollback procedures, and model update governance?
Leaders on the record
"Unlocking the true potential of AI requires both innovation and security. Our collaboration with Mirror Security combines world-class expertise in AI security with our advanced AI capabilities to create dependable and reliable solutions that will give our customers greater confidence as they realise their AI ambitions." - Ashish Koshy, CEO, Inception
"The convergence of regulatory pressure, advanced persistent threats, and AI-driven innovations requires organisations to deploy new security paradigms to confidently use AI's potential. Our partnership with Inception combines proven enterprise AI capabilities with our AI security suite to deliver secure, scalable AI solutions while ensuring sovereign AI compliance." - Pankaj Thapa, Co-founder and CEO, Mirror Security
Impact for agencies and state-owned enterprises
Expect faster, safer deployment of AI for citizen services, security operations, health, utilities, and transportation-without trading off privacy or accountability. With integrated controls and monitoring, program owners can move from pilots to production with clear risk oversight.
The partnership is positioned to influence the future of AI use in the region and beyond by prioritising security, trust, and compliance from the start.
Next steps for government teams
- Map AI use cases to risk: Classify services by data sensitivity, impact, and oversight needs.
- Set policy baselines: Define rules for access, redaction, logging, agent tools, and human-in-the-loop review.
- Standardise evaluation: Establish red-teaming, quality thresholds, and rollback criteria before launch.
- Prepare audit evidence: Automate reports on lineage, permissions, and incident handling.
- Plan for sovereignty: Confirm data residency, model hosting, and supply chain attestations.
Upskill your team
If you're building internal capability for AI governance and security, explore role-based learning paths here: Complete AI Training - Courses by Job.
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