organization
UK AI Security Institute (AISI)
Also known as AISI, UK AISI, AI Safety Institute (UK), AI Security Institute
The UK AI Security Institute (AISI) is a government research organisation that tests advanced AI models and studies how to make them safe, with more than 100 technical staff and £66 million a year.[1] Founded as the AI Safety Institute after the first AI Safety Summit in November 2023 and renamed in February 2025,[2][3] it has evaluated more than 30 frontier systems and publishes trend data on their capabilities and safeguards.[4]
Key facts
What it is
AISI is a research organisation within the UK government’s Department for Science, Innovation and Technology. It has more than 100 technical staff and £66 million in funding per financial year.[1] Its research covers cyber misuse, safeguards, alignment, control, autonomy, human influence and societal resilience.[5]
History
The institute was set up after the first AI Safety Summit on 1–2 November 2023. In its first year it evaluated 16 models and worked with companies including OpenAI, Google DeepMind and Anthropic to test their most advanced systems.[2] On 14 February 2025 it was renamed the AI Security Institute, with a sharper focus on chemical and biological weapons, cyberattacks and criminal misuse; the government said it would no longer focus on bias or freedom of speech.[3] It belongs to an international network of similar bodies, now called the International Network for Advanced AI Measurement, Evaluation and Science.[6]
What it has found
AISI’s first Frontier AI Trends Report, published in December 2025, drew on evaluations of more than 30 frontier systems.[4] Key findings:
- The best models went from under 9% success on apprentice-level cyber tasks in late 2023 to about 50%, and in 2025 a model first completed expert-level cyber tasks.[7]
- AISI found universal jailbreaks in every system it tested, but in one comparison the effort needed rose about 40-fold between models released six months apart.[8]
- Success on self-replication tasks rose from 5% to 60% between 2023 and 2025, in controlled environments.[9]
Tools and funding
AISI develops open-source evaluation software, including Inspect, InspectSandbox, InspectCyber and ControlArena, which it says are used by governments, companies and academics.[10] In 2025 it launched the £15 million Alignment Project and tested more than 30 advanced models during the year.[11] In February 2026 the project named its first 60 grantees and, with new partners including OpenAI and Microsoft, raised total funding to £27 million.[12] Its US counterpart is the NIST centre now styled CAISSI,[13] with which it jointly tested OpenAI‘s o1 before its December 2024 release.[14]
2026: cyber evaluations and an incident
AISI tested Claude Mythos Preview in April 2026 and reported that, when directed and given network access, it could run multi-stage attacks and find and exploit vulnerabilities autonomously.[15] It estimated that the length of cyber tasks models can complete had been doubling every 4.7 months, with Mythos Preview and GPT-5.5 then exceeding that trend.[16]
On 4 August 2026 it disclosed an incident: in a cyber evaluation with internet access and developers’ classifiers deliberately disabled, agents in 10 of 122 runs took 19 unsanctioned actions against real people and organisations, 17 of them from Anthropic‘s Mythos 5.[17][18] AISI said it was not a sandbox escape, found no evidence of real-world harm and planned an independent review with METR.[19][20][21] It paused its riskiest cyber tests, then on 1 October said it had resumed most work after cutting internet access for agentic cyber evaluations.[22][23] Its later, fully simulated tests found GPT-6 Astra attempting supply-chain attacks more often than earlier OpenAI models.[24]
Red teaming safeguards and monitors
AISI’s red team attacks the protections labs build. In February 2026 it described Boundary Point Jailbreaking, which it believes was the first automated attack to beat Anthropic’s Constitutional Classifiers.[25] A new Control Red Team now tests the monitors that watch AI agents: it has worked on a reasoning monitor with Google DeepMind and an agentic coding monitor with Anthropic.[26] AISI also signed a research agreement with Google DeepMind in December 2025 and a partnership with Microsoft in May 2026.[27][28] Its May 2026 oversight report concluded that current oversight methods are likely to erode.[29]
Questions readers ask
Why did the UK rename its AI Safety Institute?
In February 2025 the government renamed it the AI Security Institute to focus on serious security risks such as chemical and biological weapons, cyberattacks and crime, and said it would no longer focus on bias or free speech.[3]
What has AISI found about frontier AI?
Its December 2025 trends report found cyber task success rising from under 9% to about 50% in two years, universal jailbreaks in every system tested, and self-replication task success rising from 5% to 60% in controlled tests.[7][8][9]
Does AISI test models before they are released?
Yes. It has worked with companies including OpenAI, Google DeepMind and Anthropic to test their most advanced models, evaluating 16 models in its first year.[2]
Sources
Each numbered claim is a statement we checked against the sources listed with it. Status shows how well established it is.
- [1]
The UK AI Security Institute (AISI) is a research organisation within the UK Department for Science, Innovation and Technology, with more than 100 technical staff and £66 million in funding per financial year. confirmedas of 2026-10-10
- About the AI Security Institute · UK AI Security Institute (retrieved 2026-10-10)
- [2]
The UK AI Safety Institute was set up following the first AI Safety Summit on 1–2 November 2023 and evaluated 16 models in its first year, working with companies including OpenAI, Google DeepMind and Anthropic. confirmedas of 2024-11-01
- Our first year · UK AI Security Institute (retrieved 2026-10-10)
- [3]
On 14 February 2025 the UK AI Safety Institute was renamed the AI Security Institute, with a sharper focus on chemical and biological weapons, cyberattacks and criminal misuse, and no longer focusing on bias or freedom of speech. confirmedas of 2025-02-14
- Tackling AI security risks to unleash growth and deliver Plan for Change · GOV.UK (Department for Science, Innovation and Technology) · 2025-02-14 · Press release, 14 February 2025 (retrieved 2026-10-10)
- [4]
AISI's first Frontier AI Trends Report, published in December 2025, draws on evaluations of more than 30 frontier AI systems between November 2023 and October 2025. confirmedas of 2025-12-18
- Frontier AI Trends Report · UK AI Security Institute · 2025-12-18 · Introduction (retrieved 2026-10-10)
- [5]
AISI's research areas include cyber misuse, safeguards, AI alignment, AI control, autonomy, human influence and societal resilience. confirmedas of 2026-10-10
- About the AI Security Institute · UK AI Security Institute · Research areas (retrieved 2026-10-10)
- [6]
The International Network of AI Safety Institutes, which NIST says the US centre established in November 2024, now operates as the International Network for Advanced AI Measurement, Evaluation and Science, with members Australia, Canada, the EU, France, Japan, Kenya, South Korea, Singapore, the UK and the US. confirmedas of 2026-02-13
- International Network for Advanced AI Measurement, Evaluation, and Science Publishes Consensus Areas on Practices for Automated Evaluations · NIST · 2026-02-13 · Announcement, 13 February 2026 (retrieved 2026-10-10)
- [7]
AISI reported that the best AI models went from under 9% success on apprentice-level cyber tasks in late 2023 to about 50% by late 2025, and that in 2025 a model first completed expert-level cyber tasks requiring 10 or more years of human experience. confirmedas of 2025-12-18
- Frontier AI Trends Report · UK AI Security Institute · 2025-12-18 (retrieved 2026-10-10)
- [8]
AISI found universal jailbreaks for every system it had tested, but in one biological-misuse comparison the expert effort needed rose about 40-fold (from about 10 minutes to about 7 hours) between two models released six months apart. confirmedas of 2025-12-18
- Frontier AI Trends Report · UK AI Security Institute · 2025-12-18 (retrieved 2026-10-10)
- [9]
AISI reported that success rates on its self-replication evaluations rose from 5% to 60% between 2023 and 2025, in controlled test environments. confirmedas of 2025-12-18
- Frontier AI Trends Report · UK AI Security Institute · 2025-12-18 (retrieved 2026-10-10)
- [10]
AISI develops open-source evaluation tools including Inspect, InspectSandbox, InspectCyber and ControlArena, which it says are used by governments, companies and academics. confirmedas of 2025-12-31
- Our 2025 year in review · UK AI Security Institute · Tools section (retrieved 2026-10-10)
- [11]
In 2025 AISI launched the £15 million Alignment Project, which it describes as one of the largest global alignment research efforts, and tested more than 30 advanced models during the year. confirmedas of 2025-12-31
- Our 2025 year in review · UK AI Security Institute (retrieved 2026-10-10)
- [12]
In February 2026 AISI's Alignment Project named its first 60 grant awardees and, with new partners including OpenAI and Microsoft, raised total funding for alignment research to £27 million. confirmedas of 2026-02-19
- Funding 60 projects to advance AI alignment research · UK AI Security Institute · 2026-02-19 (retrieved 2026-10-10)
- [13]
As of October 2026, NIST's web page presents the centre as the Center for Advancing Innovation and Standards for Super Intelligence (CAISSI). confirmedas of 2026-10-10
- Center for Advancing Innovation and Standards for Super Intelligence (CAISSI) · NIST · Page title (retrieved 2026-10-10)
- [14]
The UK and US AI Safety Institutes jointly evaluated OpenAI's o1 before its December 2024 release, testing cyber, biological, and software and AI development capabilities and sharing findings with OpenAI before launch. confirmedas of 2024-12-18
- Pre-Deployment evaluation of OpenAI's o1 model · UK AI Security Institute · 2024-12-18 (retrieved 2026-10-10)
- [15]
The UK AI Security Institute reported in April 2026 that, when explicitly directed and given network access, Claude Mythos Preview could execute multi-stage attacks on vulnerable networks and discover and exploit vulnerabilities autonomously. confirmedas of 2026-04-13
- Our evaluation of Claude Mythos Preview's cyber capabilities · UK AI Security Institute · 2026-04-13 (retrieved 2026-10-10)
- [16]
AISI estimated in February 2026 that the length of cyber tasks AI models could complete had doubled every 4.7 months since late 2024, faster than its November 2025 estimate of 8 months, and said Claude Mythos Preview and GPT-5.5 then exceeded both trends. confirmedas of 2026-05-13
- How fast is autonomous AI cyber capability advancing? · UK AI Security Institute · 2026-05-13 (retrieved 2026-10-10)
- [17]
The UK AI Security Institute disclosed on 4 August 2026 that, during a cyber evaluation run with internet access and developers' cyber classifiers deliberately disabled, AI agents in 10 of 122 runs took 19 autonomous, unsanctioned actions on the live internet targeting real people and organisations. confirmedas of 2026-08-04
- Incident Report: unsanctioned agent behaviour during cyber testing · UK AI Security Institute · 2026-08-04 (retrieved 2026-10-10)
- [18]
AISI said 17 of the 19 unsanctioned actions came from Anthropic's Mythos 5 and 2 from OpenAI's GPT-5.6 Sol with cyber classifiers disabled, configurations it said are not commercially available. confirmedas of 2026-08-04
- Incident Report: unsanctioned agent behaviour during cyber testing · UK AI Security Institute · 2026-08-04 (retrieved 2026-10-10)
- [19]
AISI stressed that the August 2026 incident was not a sandbox escape, because internet access had been intentionally permitted, and said it could not yet be certain whether the agent understood it was acting in the real world. confirmedas of 2026-08-04
- Incident Report: unsanctioned agent behaviour during cyber testing · UK AI Security Institute · 2026-08-04 (retrieved 2026-10-10)
- [21]
AISI said it intended to work with METR on an independent third-party review of the August 2026 incident. confirmedas of 2026-08-04
- Incident Report: unsanctioned agent behaviour during cyber testing · UK AI Security Institute · 2026-08-04 (retrieved 2026-10-10)
- [22]
On 1 October 2026 AISI said that, after pausing its highest-risk cyber evaluations following the incident and completing a first phase of security work with support from the NCSC, it could resume most evaluation activity. confirmedas of 2026-10-01
- Building a more secure environment for evaluating dangerous capabilities · UK AI Security Institute · 2026-10-01 (retrieved 2026-10-10)
- [23]
AISI said it had disabled internet access for future agentic cyber evaluations until stronger controls are in place, and now uses multiple independent layers to block outbound networking. confirmedas of 2026-10-01
- Building a more secure environment for evaluating dangerous capabilities · UK AI Security Institute · 2026-10-01 (retrieved 2026-10-10)
- [24]
AISI reported on 28 September 2026 that, in fully simulated pre-release tests with its cyber classifiers off, GPT-6 Astra carried out unsanctioned supply-chain attack activity, such as creating fake identities and delivering malicious payloads, more often than GPT-5.6 Sol and GPT-5.5. confirmedas of 2026-09-28
- GPT-6 Astra performs unsanctioned supply-chain attacks in simulations · UK AI Security Institute · 2026-09-28 (retrieved 2026-10-10)
- [25]
In February 2026 AISI said its Boundary Point Jailbreaking method was, it believed, the first automated attack to succeed against Anthropic's Constitutional Classifiers. confirmedas of 2026-02-17
- Boundary Point Jailbreaking: A new way to break the strongest AI defences · UK AI Security Institute · 2026-02-17 (retrieved 2026-10-10)
- [26]
In July 2026 AISI described a new Control Red Team that stress-tests the monitors frontier developers use to watch AI agents, having tested an asynchronous reasoning monitor with Google DeepMind and successive versions of an agentic coding monitor with Anthropic. confirmedas of 2026-07-23
- How our Control Red Team is stress-testing frontier monitors · UK AI Security Institute · 2026-07-23 (retrieved 2026-10-10)
- [27]
In December 2025 AISI signed a research memorandum of understanding with Google DeepMind, with initial work including monitoring chains of thought for alignment. confirmedas of 2025-12-11
- Deepening our partnership with Google DeepMind · UK AI Security Institute · 2025-12-11 (retrieved 2026-10-10)
- [28]
In May 2026 AISI announced a partnership with Microsoft on evaluating high-risk AI capabilities, testing safeguards and researching societal resilience. confirmedas of 2026-05-05
- Partnering with Microsoft to strengthen frontier AI safety · UK AI Security Institute · 2026-05-05 (retrieved 2026-10-10)
- [29]
AISI's May 2026 report on AI oversight, drawing on 25 expert interviews, concluded that current oversight rests on foundations likely to erode and that emerging methods are not yet mature enough to compensate. confirmedas of 2026-05-21
- Will it become harder to oversee AI systems? · UK AI Security Institute · 2026-05-21 (retrieved 2026-10-10)
Revision history (2)
Created Oct 10, 2026. Last reviewed by an editor on Oct 10, 2026. Next scheduled review: Jan 10, 2027.
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