Capability · applied inside an engagement
Cybersecurity for AI. AI for cybersecurity.
Protect the AI system and build useful AI-powered security products—with explicit data boundaries, action authority and evidence.
Hyperion combines product leadership with scoped model engineering and cybersecurity work. A technical mission defines the configuration, adaptation, integration and handover to be delivered; specialist testing and independent qualification are agreed explicitly.
Two security problems. Two clear paths.
For industrial product teams, AI platform owners and cybersecurity founders. Mohammed connects customer value, technical architecture and risk ownership; each assignment names its deliverables and the specialist assurance it requires.
Cybersecurity for AI
Threat-model models, retrieval, data pipelines and agents. Define controls for prompt injection, poisoning, model and dependency integrity, confidential-data exposure, tool permissions and recovery. The outputs are an attack-surface map, prioritised controls and an evaluation plan tied to the operating context.
Request a quote · Cybersecurity for AIAI for cybersecurity
Shape products and workflows for alert triage, investigation, evidence retrieval and analyst assistance. Compare against the existing process using false positives, missed findings, analyst effort and escalation quality. Define permitted actions and human review before adding automation.
Request a quote · AI for cybersecurity
What your team receives
- A product and threat model with named owners and trust boundaries
- An evaluation and abuse-case pack, prioritised controls and acceptance criteria
- A scoped implementation or product roadmap, with incident, recovery and handover responsibilities
Buy an independent decision through a Review, agreed implementation through a Mission, or ongoing product authority through Executive Product Leadership. The Review excludes implementation. A Mission names the code, tests and handover included; specialist assurance and client operating responsibilities remain explicit.
Individually scoped and quoted after a fit conversation.
How does this apply to Physical AI?
A robot or industrial agent introduces physical consequences. Keep model proposals separate from authorised execution and independent safety functions. Cybersecurity testing does not replace device-specific safety engineering or qualification.
Does this include certification or penetration testing?
Those are separate specialist scopes, explicitly agreed if needed. Hyperion provides product leadership, architecture decisions and bounded technical work; it does not turn an advisory review into a certification, a managed SOC or a safety sign-off.
Technical references · verify the exact release and context
Define
Test
Review
Monitor
Four cybersecurity stages: define data and action boundaries, test controls, review evidence and monitor changes.
Buy an independent decision through a Review, agreed implementation through a Mission, or ongoing product authority through Executive Product Leadership. The Review excludes implementation. A Mission names the code, tests and handover included; specialist assurance and client operating responsibilities remain explicit.
Separate model inputs, confidential data and tool permissions. Human approval controls consequential actions; operational ownership and independent functional-safety responsibilities stay explicit.
Threat modelling, least-privilege identities, retrieval isolation, model and dependency integrity, adversarial tests, redacted logs and incident procedures. Test the agreed controls; do not imply certification or complete protection.
Choose the cybersecurity work you need