AI Security & Transformation Consultancy
We work with banks, health systems, energy companies and governments to adopt AI at enterprise scale — without surrendering control of their data, their infrastructure, or their risk.
Agents now read, decide and act inside systems that were designed for a human at a keyboard. The economics are irresistible. The exposure is unprecedented.
Prompt injection, tool poisoning, memory poisoning, over-privileged agents. These are not model problems. They are architecture and access problems — and they compound at machine speed.
Where your models run, who can see your data, and what an agent is permitted to do are now board-level decisions. Sovereignty is no longer a policy. It is an engineering discipline.
Intelligence, security and sovereignty are not trade-offs. Designed together, from the first architecture decision, they reinforce one another.
Practices
Most firms sell strategy or engineering or security. Enterprise AI fails in the seams between them. We own the seams.
From pilots to production, with trust designed in.
We define the AI operating model, the use-case portfolio and the controls that let regulated enterprises move from experiments to systems that run the business.
Beyond cloud-native. AI-native.
Lift-and-shift moved legacy into the cloud. We re-architect it around intelligence: agentic workflows, tool layers, event-driven data and platforms that an agent can operate safely.
Keep control of models, data and compute.
Residency says where data sits. Sovereignty says who controls it. We design hybrid, on-premise and air-gapped AI estates that satisfy regulators without freezing innovation.
Trust and resilience for the agentic era.
We secure the AI you build and use AI to secure everything else — agent identity, least privilege, red-teaming and a security operation that runs at the speed of the attacker.
Sovereignty
Frontier capability from any provider, running on terms you set: your jurisdiction, your keys, your audit trail, your exit.
Approach
A single team that can brief a board on Monday and review an agent's permission model on Tuesday. That range is the point.
Map the AI estate you have and the one you are accumulating: models, agents, data flows, privileges, vendors, obligations. Quantify exposure and value in the same ledger.
Design the target state: AI-native application architecture, sovereign deployment topology, identity and control planes for agents, and the governance that keeps regulators comfortable.
Engineer alongside your teams. Reference implementations, platform guardrails, evaluation harnesses and migration waves — shipped, not slide-ware.
Red-team what was built. Instrument it. Hand over a system your security, audit and engineering functions can run — and evidence you can show a regulator.
Security that is designed in costs a fraction of security that is bolted on.
An agent should hold the privileges of the task, never the privileges of the person.
If you cannot move the model, you do not own the capability.
Sectors
Agentic operations under DORA, model-risk management and conduct rules. Sovereign inference for data that cannot leave the perimeter.
DORA · SR 11-7 · PCI DSSClinical and operational AI with PHI protection by design, auditable decision trails and validated model lifecycles.
HIPAA · GDPR · FDA SaMDAI for operations and safety across IT/OT boundaries, with segmentation, resilience and control-system integrity preserved.
IEC 62443 · NERC CIP · TSASovereign AI estates, assured supply chains and mission systems that remain under national control.
FedRAMP · NIS2 · AI ActSignals
of enterprise applications are projected to embed task-specific AI agents by the end of 2026, up from under 5% in 2025.
Gartner, via industry analysis ↗of companies view sovereign AI as at least moderately important to their strategic planning.
Deloitte, State of AI in the Enterprise 2026 ↗OWASP's Top 10 for Agentic Applications and its MCP Security Guide codify agent goal hijack, tool misuse and memory poisoning as first-class enterprise risks.
OWASP Agentic Top 10 ↗The EU's Digital Omnibus deferred most high-risk AI Act obligations from August 2026, but transparency and general-purpose AI duties still land in 2026. The clock did not stop.
EU AI Act timeline ↗The Firm
Parnera Hill Partners was founded by a technology leader who has spent a career at the intersection of security and scale: an early employee at multiple cybersecurity startups, a senior executive at Google and Apple, and most recently the architect behind a new agentic cybersecurity solution, from concept to launch.
That lineage shapes how we work. We have run the platforms, carried the pager and sat across from the regulator. We bring senior people to every engagement and we measure ourselves on what ships, not on what is recommended.
Senior-only teams, embedded with yours
Strategy through production engineering
Vendor-independent by design
Contact
A 45-minute working session with a senior partner on your AI, security or sovereignty agenda. No deck. No pitch. Just the questions that matter.
[email protected]