UK’s New “Cyber Shield” Project Highlights Challenges in Incorporating Agentic AI Into Cyber Defense

The UK’s recently-announced “Cyber Shield” plan lays out what is becoming conventional wisdom about the near future of cyber defense: attackers will soon be moving at “machine speed” by making use of frontier AI models, so governments and private organizations must partner to similarly deploy Agentic AI to counter them.

But the plan remains very thin on specifics, and that is in no small part because there are many difficulties ahead in actually implementing autonomous Agentic AI in a world of legacy systems and communications difficulties. In the broad strokes, the UK’s cyber defense plan proposes “always on” virtual red and blue AI teams that continually probe for vulnerabilities and detect and block threats. But how much of that will be feasible to  implement, and how soon operational standards and tools are in place, remains a very big question.

UK envisions future of cyber defense, but is it within reach?

The UK government announcement, made by the NCSC’s cyber division GCHQ, openly acknowledges some of the challenges that present potential stumbling blocks going forward. One of these is the availability of “commercially scalable” solutions, something that is not really in play yet as only limited versions of the most powerful frontier models are available outside of limited private testing. Another is the need for partnership between the government and a broad variety of stakeholding organizations, from the cyber defense industry to critical infrastructure partners.

As a first concrete step, the plan does indicate that the government will begin meeting with critical infrastructure companies to discuss implementation of Agentic AI. What they will likely find is that vulnerability probing, the thing Mythos has become famous for, is the easiest point of entry and a likely first priority. From there the proposed goals run into more substantial difficulties, confounded by elements like outdated legacy systems that cannot be easily addressed and persistent intra-organization communication and capability issues. The plan also does not yet address mobile device security, a highly necessary yet thorny issue due to longstanding visibility issues and the “human element” of employee-owned devices in the workplace.

Defensive agentic AI seems necessary, but future of implementation still very unclear

At this point the cyber defense program has no timeline, no announced budget, and no technology vendors in place. It does call itself a “blueprint” at this stage, but it is anyone’s best guess as to when it moves from that state to more concrete elements of implementation.

What it does provide thus far is a sketch of red and blue team Agentic AI providing for national defense to meet the assumed machine speed of attackers, something that may soon become a regular threat. How exactly that will operate will be determined in meetings with Critical National Infrastructure (CNI) organisations, frontier AI developers and researchers in academia. But the broad strokes are that the agents would work around the clock at identifying vulnerabilities, automating remediation, scanning for anomalous behavior and containing and remediating any breach activity that takes place. The bots will be tied to human operators with whom intelligence is shared, and will be subject to existing regulatory rules about data privacy.

However, the UK government itself illustrates the expected difficulties in Agentic AI implementation. It has only been six months since plans were initiated in response to a national audit revealing about a third of government systems are legacy and that funding is not in place to remediate about half of them. Further, the audit found that 58 of 72 critical government IT systems were at “low levels of maturity.” These issues were not expected to be fully addressed for some time, and this was well prior to the complexity of frontier AI capability being introduced just several months ago. Many organizations face similar obstacles to these sudden new modernization requirements, but apparently will have to wait some additional time to get concrete deployment recommendations from the government.