Why agentic AI security matters now
AI agents no longer just answer questions. They read inboxes, call APIs, update records, raise orders and connect to business systems through tools and MCP servers. Each one is, in effect, a new privileged user: it works at machine speed, it rarely sleeps, and it can be steered by the content it reads.
Adoption is moving faster than control. Deloitte research found only 21% of organisations have stringent governance or oversight for AI agents, and the OWASP GenAI Security Project has published its first Top 10 for Agentic Applications to map the risks. Our agentic defence services help you close that gap, with governance your board can follow and controls your team can run, monitored from our Australian SOC.
Our approach to agentic AI security
Govern
An AI use policy, an inventory of agents with named owners, and tiered autonomy that defines which actions need human approval. Aligned with ISO/IEC 42001 and the OWASP Top 10 for Agentic Applications.
Protect
Treat every agent as an identity: least-privilege access, scoped credentials, approved tools and MCP connections only, data-loss controls and a tested way to switch an agent off.
Test
Authorised AI red teaming of your agents and AI applications for prompt injection, goal hijacking, tool misuse and data leakage, with every finding mapped to a practical fix.
Monitor and respond
Agent activity logged and monitored from our Australian SOC alongside the rest of your environment, with your people keeping decision rights over high-impact actions.
Agentic AI security services
AI and agent discovery
Find the AI tools, assistants and agents in use across your business, including shadow AI, and record what each one can reach and who owns it.
Agent identity and access review
Review the credentials, permissions and data each agent holds, then cut them back to what the task needs.
MCP and tool integration security
Assess the tools and MCP servers your agents connect to, and put approval, logging and allow-listing around them.
AI red teaming and penetration testing
Authorised testing of agents and AI applications against realistic attacks, including prompt injection, goal hijacking and data leakage.
AI governance and ISO/IEC 42001 readiness
Policies, risk assessments and controls for responsible AI use, structured so you can evidence them to boards, auditors and insurers.
Agentic SOC monitoring
AI-assisted detection and response from our Australian SOC, with human analysts in the loop and your data kept onshore.
From first look to evidence in 90 days
1. Know (days 1–30)
Find the agents and AI tools in use, map what they can reach and rank them by business risk.
2. Prove (days 31–60)
Put priority controls in place, red team the highest-risk agents and fix what we find.
3. Rehearse (days 61–90)
Run an agent-incident exercise with your leadership, test the switch-off path and hand over a board-ready report.
4. Improve (ongoing)
Review new agents and permissions as you adopt more AI, with regular reporting to your leadership. Timing varies with the size of your environment; we agree the scope with you first.
Four questions for your board
Do we know every AI agent we run?
And does each one have a named owner who is accountable for what it does?
What can each agent do unsupervised?
Which systems and data can it reach, and which actions can it take without a person approving?
Would we notice an agent going wrong?
Could an email, document or web page redirect it, and how quickly could we detect and switch it off?
Could we prove it to a regulator?
Can we show an auditor, regulator or insurer how our agents are governed, tested and monitored?
Why work with Bluebox Global
Vendor-neutral advice
We recommend controls that fit your environment and existing tools, not a single product.
Governance and operations together
The people who design your controls also help run them, so policy and practice stay aligned.
Australian SOC
Monitoring and response from our Australian SOC, with your data kept onshore.
Certified professionals
Security specialists with hands-on experience across identity, cloud and security operations.
Agentic AI security FAQs
What is agentic AI security?
The practice of governing, protecting and monitoring AI systems that can plan and act on their own: calling tools, using credentials and changing data. It covers who owns each agent, what it can access, how it is tested and how its actions are watched.
How is it different from traditional application security?
Traditional controls assume software does what its code says. Agents decide what to do at run time, often based on content they read, so you also need controls over their identity, permissions, tools and behaviour.
What is the OWASP Top 10 for Agentic Applications?
A community framework from the OWASP GenAI Security Project, first published in December 2025, listing the ten highest-impact risks for AI agents, such as goal hijacking, tool misuse and rogue agents. We use it as a reference when assessing and testing agents.
Do we need this if we only use Microsoft 365 Copilot?
Often, yes. Assistants and agents inherit the access of the people and systems they act for, so permissions, data labelling and monitoring still matter. A short discovery exercise will show how much work is needed.
Where does our data stay?
Monitoring runs from our Australian SOC, with your data kept onshore.
Find out where your AI agents stand
Start with a discovery workshop: we map your AI agents and tools, rank the risks and give you a clear plan.
Talk to an expert