Australian Signals Directorate (ACSC)

The Australian Signals Directorate's ACSC published guidance on agentic AI harnesses, the software layer that connects a model with organisational data, tools and systems and manages context, memory, tool access and execution privileges. According to coverage, it says some risks, including prompt injection, cannot be addressed within the model alone, that no harness is inherently secure, and recommends least privilege, human oversight for high-impact actions, audit logging and validating agent outputs before execution.

The heads of the Five Eyes cyber agencies issued a joint statement that AI is rapidly transforming cyber risk and that organizations must act within months, not years. They ask leaders to reduce attack surface, accelerate patching as exploitation windows shorten, replace unsupported legacy systems, strengthen identity controls, and prepare for incidents.

CISA and the Australian Signals Directorate, with US and international partners, published guidance on the cybersecurity risks of agentic AI services and recommended mitigations. CISA highlights expanded attack surface, privilege creep, behavioral misalignment and obscure event records as risks, and recommends avoiding broad access, starting with low-risk use cases, and folding agent security into existing risk models.

CISA and the Australian Signals Directorate, with NSA, FBI and national cyber agencies of Canada, Germany, the Netherlands, New Zealand and the UK, published four principles for integrating AI into operational technology. The guidance explicitly covers machine learning, LLM-based AI and AI agents because of the security and safety challenges they pose in industrial environments.

The NSA's Artificial Intelligence Security Center led joint guidance with CISA, the FBI and the national cyber centres of Australia, Canada, New Zealand and the UK on deploying and operating externally developed AI systems. It sets objectives to improve the confidentiality, integrity and availability of AI systems and to mitigate known vulnerabilities, organized around protecting, detecting malicious activity against, and responding to incidents involving AI systems.