Shadow agents, LLM apps, coding assistants and MCP servers are already running inside your business — most of them outside security’s line of sight. Acta Beacon helps Australian organisations discover every AI asset, secure it, and validate it at runtime — so you can enable AI safely instead of restricting, hand-checking, or simply hoping.
Gartner names AI security platforms a top strategic technology trend for 2026 — this is a board-level conversation, not just a security-team one. Yet most enterprises run AI through one of three failure modes, and every one of them ends badly.
Lock AI down until the controls exist. The result: stalled innovation, frustrated business teams who route around security, and shadow AI that explodes underground - now completely unseen.
Manage AI risk through manual reviews and spreadsheets. Fine for three models - impossible for three hundred. It creates blind spots the moment AI scales, which is exactly when it matters most.
Ship AI with no security oversight at all. The result: significant exposure and audit failure. It only takes one rogue agent or one leaked dataset to make it a board-level - and career-level - incident.
Visibility and control lets you say yes to AI at scale.
Traditional tools were built for software that behaves deterministically. AI - and especially AI agents - is different in kind, not degree. SIEM, EDR and WAF were never designed to understand natural-language manipulation or trace an agent’s blast radius. These are the blind spots that show up first.
AI security isn’t your old stack pointed at AI. It is a new control plane for a new attack surface.
Acta Beacon delivers AI security across the full lifecycle - from development to production - on the Noma Security platform. One continuous loop: each stage feeds the next, so what red teaming finds in testing becomes what runtime blocks in production. See everything, secure it by design, and enforce at the point of execution.
Automatically map every model, agent, MCP server and data source - and how they connect - across homegrown apps, SaaS agents and developer tools. Shadow AI surfaces by default.
Define approved AI supply chains, enforce least-privilege on every agent, and validate continuously with an adaptive red-team agent that attacks your specific application - not a canned test library.
Inspect every prompt, response, tool call and agent-to-agent message at the point of execution - in milliseconds. Detect, mask, alert or block, configurable per agent, risk level and business context.
Working from one platform, we can help you cover models, agents, MCP servers, data pipelines and the AI-powered tools your teams already use - from discovery through to runtime.
Continuously discover, assess and govern every AI asset — models, agents, pipelines and MCP servers — in one inventory with business-risk context.
Map each agent’s tools, identities and knowledge sources, expose cascading risk before deployment, and rein in excessive autonomy and over-permissive access.
An adaptive attack agent probes your live AI the way an adversary would — covering RAG exploitation, memory manipulation, tool misuse and MCP vulnerabilities.
Detect and respond to prompt injection, jailbreaks, data leakage and rogue outputs in real time — detect, mask, alert or block at the point of execution.
Enforce least-privilege for every agent and AI application, and stop destructive or unauthorised actions before they fan out across systems.
Instantly discover sanctioned and shadow MCP deployments, analyse blast radius, and guardrail tool calls to block destructive actions and credential leakage.
Scan models and open-source components for malicious code, poisoned data and vulnerabilities before they reach production.
Automated evidence and continuous monitoring, with controls mapped to OWASP, MITRE ATLAS, NIST AI RMF, ISO 42001, the EU AI Act and the ISM.
This isn’t AI-powered SOC tooling, and it isn’t blocking staff from pasting into ChatGPT. It’s security of the AI systems your enterprise builds, deploys and uses. If any of these are you, let’s talk.
You’re being asked to greenlight AI without owning the exposure. You need visibility and control you can sign off against - and evidence for the board.
Your teams ship homegrown AI apps and agents on LangChain, CrewAI and beyond. You want security that integrates into the pipeline without slowing delivery.
ISO 42001, the EU AI Act and the ISM all demand AI-specific controls your GRC tooling can’t map. You need continuous, audit-ready evidence - not a point-in-time scramble.
// Restrict, manual, or ungoverned — which best describes your team today? Acta Beacon is built so you don’t have to choose any of them.
Findings and controls map automatically to the AI security frameworks that matter - so governance stops being a quarterly fire drill and becomes continuous, board and regulator-ready evidence.
Govern AI usage safely - with evidence an auditor can read and an executive can sign.
Let’s find out what’s already running, what it can reach, and how fast we can put controls around it.
