DeepMind Launches AI Control Roadmap as Ireland Races to Finalize EU AI Omnibus
DeepMind's new AI Control Roadmap framework and safety protocols coincide with Ireland's push to finalize the EU AI Omnibus before a critical August 2026 compliance deadline.
DeepMind’s AI Control Roadmap and Safety Framework
Google DeepMind has developed the AI Control Roadmap, a framework for building and managing advanced AI deployed within Google. The initiative reflects growing industry focus on safety protocols as AI agents move into production environments.
DeepMind’s team analyzed one million coding agent tasks to refine safety protocols and build a live monitor for the Gemini Spark agent. The company has also published a technical framework for policymakers titled ‘Three Layers of Agent Security.‘
The economic stakes are significant: AI agents could create $2.9 trillion in economic value in the U.S. alone by 2030, according to DeepMind’s assessment.
Ireland’s EU Presidency and the AI Omnibus Deadline
These industry developments arrive as European policymakers face critical timing pressures. A provisional agreement on the EU AI Omnibus package was reached in May 2026 between the European Parliament and the Council, but has not yet been formally adopted.
Without formal approval of the Omnibus, the EU AI Act’s original high-risk compliance deadline of August 2, 2026 remains in place. The Omnibus would push that deadline back to December 2027 at the earliest—a significant extension for industry compliance planning.
Ireland’s government published a 68-page policy program on June 10, 2026 for the country’s upcoming six-month EU Council Presidency beginning July 1, 2026. The Irish Presidency program commits to ‘intensively’ pursuing finalization of the Digital Omnibus on AI as one of the most time-sensitive tasks to be inherited on July 1, 2026.
Source: Google DeepMind
Developments since publication
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Helen McEntee, Ireland's minister for foreign affairs, published the government's 68-page policy program for the upcoming Irish Presidency of the Council of the European Union on June 10, 2026. Source
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The Irish Presidency's policy program includes an intention to aggressively pursue efforts to roll back parts of the EU's digital regulatory framework during the six-month term beginning July 1, 2026. Source
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Without formal approval of the Digital Omnibus on AI, the EU AI Act's original high-risk compliance deadline of August 2, 2026 remains in place. Source
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The Digital Omnibus on AI would push the high-risk compliance deadline back to December 2027 at the earliest, conditional on the availability of harmonized standards. Source
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The Digital Omnibus on AI loosens protections around personal data use in AI development and deployment. Source
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On July 7, 2026, the European Commission presented an Action Plan on Cybersecurity and Artificial Intelligence, deliberately fusing NIS2 and EU AI Act regulatory regimes. Source
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On July 8, 2026, the European Commission referred Ireland, Spain, France, and the Netherlands to the Court of Justice of the EU for failing to fully transpose the NIS2 Directive. Source
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On July 10, 2026, the European Commission preliminarily found Meta's Instagram and Facebook in breach of the Digital Services Act for addictive design features. Source
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China's Interim Measures for the Administration of AI-Based Anthropomorphic Interactive Services took effect on July 15, 2026. Source
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Norm AI raised a $120 million Series C at a $1.2 billion valuation, led by Khosla Ventures and including investment from Fenwick and a former Kirkland chair, on July 7, 2026. Source
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The Great American Artificial Intelligence Act discussion draft, released June 4, 2026, met bipartisan opposition over federal preemption of state AI laws. Source
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More than 100 AI law enactments now exist across more than half of U.S. states, according to reports from July 2026. Source
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The European Data Protection Board opened a public consultation on a new standardized template for personal data breach notifications on July 8, 2026. Source
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Reed Smith consolidated its ALSP, legal-ops, e-discovery, and staff attorneys under a new Legal Solutions group of over 200 professionals on July 10, 2026. Source
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Google DeepMind published the AI Control Roadmap on June 18, 2026. Source
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Google DeepMind's AI Control Roadmap treats internal agents as potential insider threats and uses a threat-modeling framework adapted from MITRE ATT&CK. Source
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Google DeepMind analyzed a million coding agent tasks to build an asynchronous monitoring system and inform safety protocols. Source
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Anthropic's Gradient Routed Auxiliary Modules (GRAM) method can isolate dangerous knowledge into switchable modules within language models. Source
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Anthropic tested GRAM on models ranging from 50M to 5B parameters. Source
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In Anthropic's GRAM experiments on real data, dual use data comprised approximately 0.25% of training for each risky domain (virology, cybersecurity, nuclear physics, specialist code) against 16B gene Source
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Anthropic's GRAM approach requires only a single training run to produce five distinct capability-filtered model configurations, whereas data filtering alone requires five separate training runs. Source
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GRAM and LoRA require only one-fifth of the training compute of data filtering across Chinchilla-optimal runs from 50M to 5B parameters. Source
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GRAM showed better capability isolation than data filtering when only 50% of training data was labeled. Source
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This Anthropic GRAM research is preliminary and has not been applied to production models at Anthropic. Source
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Google DeepMind analyzed a million coding agent tasks to refine safety protocols and build monitoring systems for AI agents. Source
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Google DeepMind's analysis of flagged agent events found that the majority stemmed from agent misinterpretation or overeagerness to achieve user goals rather than adversarial intent. Source
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Google DeepMind published a technical framework for policymakers titled 'Three Layers of Agent Security' detailing how to improve security at the level of individual agents, multi-agent systems, and e Source
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The Five Eyes alliance (United States, United Kingdom, Canada, Australia, and New Zealand) warned that frontier AI models capable of launching major cyberattacks could overwhelm government and busines Source
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Only 14.4% of organizations report all AI agents going live with full security or IT approval according to a 2026 survey of over 900 executives and technical practitioners by Gravitee. Source
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81% of survey respondents felt pressure to deploy AI agents quickly even when security governance was not in place, per a 2026 Gravitee survey. Source
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Google DeepMind built an internal prototype of an asynchronous monitoring system that reviews coding agent trajectories and escalates findings for human review. Source
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The AI Control Roadmap treats untrusted AI agents as potential 'insider threats' based on the industry-standard MITRE ATT&CK framework. Source