Cy-Mind AI · Agentic AI Governance
AI agents work alongside your people — but they don't have job descriptions, line managers, or audit trails. Cy-Mind AI gives you all three, for every agent, every action, every time.
Why it matters
AI agents handle customer queries, run business processes, support security operations, and act on instructions across multiple systems — often faster than the people they support. Unlike employees, they arrive without line managers or performance records. They communicate, call external services, access data, and trigger actions, and most organisations have no way to see, control, or evidence any of it.
Threat 01
Prompt injection
An agent is tricked by a malicious instruction into doing something it shouldn't — like emailing internal data to an outside address.
Threat 02
Behavioural drift
An agent slowly starts behaving differently from how it used to — with no obvious moment of breakage.
Threat 03
Scaling without accountability
An agent scales before anyone defines who is accountable for it, what it's allowed to access, or how to roll it back.
What Cy-Mind AI covers
A governed view of the AI agents running across your operations — and the controls to act on what you see. Designed for mixed AI environments: managed providers (OpenAI, Anthropic, Google), on-site hosted agents, and local LLM environments such as Ollama.
01
Every agent has a defined identity, owner, role, and operating scope — and can only reach the tools, data, and systems you've explicitly approved. Logins to those resources are short-lived and scoped to the action at hand.
02
A live picture of which agents are active, who and what they're communicating with, which external services they're calling, and which actions they're triggering.
03
Policy enforcement at the moment an agent attempts a sensitive action — human approval gates, allow-listed external services, and outbound data flows policy-checked before they happen. Every agent runs inside a controlled wrapper, alongside a task board for assigning, prioritising, escalating, and closing agentic work.
04
Spots when an agent starts behaving differently from how it used to — unusual tool use, communication changes, signs of manipulation, or outright misuse.
05
A tamper-resistant record of every decision, tool call, approval, action, and outcome — ready for audit, legal, governance, or executive review.
At a glance
5
control areas
identity · comms · approval · behaviour · audit
2
deployment shapes
SaaS · sovereign
BYO
agents, models, data
OpenAI · Anthropic · Google · Ollama
100%
of Cydalics' own agents
governed by Cy-Mind AI internally
Two deployment shapes
Lightweight · SaaS
For technology-led teams that need practical governance without heavy infrastructure overhead.
Best for:
AI-native technology teams, startups, scale-ups, engineering-led organisations.
Enterprise · Sovereign
For organisations that require stronger control, local deployment, sensitive-data protection, and full auditability.
Best for:
Defence and national security, financial services, critical infrastructure, healthcare, public sector, and telecommunications.
Standards & frameworks
Findings from Cy-Mind AI can be mapped to whichever AI, cyber, or governance standards your auditors, regulators, insurers, or boards care about.
AI governance
ISO/IEC 42001 · NIST AI RMF · EU AI Act evidence support
Cyber & risk
NIST RMF · NIST CSF · ISO 27001 · ISO 27005
Regulated sectors
Financial services · healthcare · defence · public sector · critical infrastructure · telecoms
Who it's for
AI-native technology teams putting agents into real workflows and needing lightweight guard-rails.
Risk & security leaders: CISOs, CIOs, security operations teams who need visibility their existing tools don't provide.
Legal, governance & accountability leaders: General Counsel, audit committees, data-protection officers who need evidence that AI use is controlled.
Boards & executives moving from informal AI use to controlled, scaled AI operations.
How we deliver
Cy-Mind AI supports SaaS, on-premise, sovereign, and air-gapped operating models — alongside running AI models locally on your own hardware, customer-controlled data and tools, and a "bring-your-own" approach to agents, models, data, and infrastructure. Sensitive workflows, agent orchestration, training, tuning, and evidence trails all run inside customer-controlled or sovereign environments.
Cydalics is shaped by the rigorous security, compliance, and regulatory regimes of Australia and Switzerland — and uses Cy-Mind AI internally for our own AI-enabled operations. What we ship is what we depend on.
Start with an architecture walk-through. We map where AI agents are operating in your environment, how their workflows communicate, which actions need governance, what evidence has to be produced, and which deployment shape fits — typically in a single session.