Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI."The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

<blockquote class="twitter-tweet">I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon. And I would never cut them off in a way that hurt them badly, even as a competitor.…&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2075278580955685036?ref_src=twsrc%5Etfw">July 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

Responding to a user who reposted his earlier prediction, Musk said: "I was clearly wrong about Anthropic. They are obviously currently the leader in AI." He also praised Anthropic's latest Claude Mythos and Claude Fable models, calling them the strongest AI systems released so far.<h2>Musk says no rival has matched Mythos</h2>Musk did not stop at recognising Anthropic's progress.He wrote that "No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon."The comments are notable because they come shortly after SpaceXAI launched Grok 4.5, while OpenAI recently released GPT-5.6. Both companies have been competing aggressively with Anthropic in coding, reasoning and enterprise AI. Earlier this year, Anthropic's Mythos and Fable models faced temporary restrictions from US authorities over cybersecurity concerns before later returning with updated safeguards.<h2>Rivals in AI, partners in computing</h2>The relationship between Musk and Anthropic has become increasingly complex. Although the companies compete directly in artificial intelligence, Anthropic is also one of the largest customers of SpaceXAI's Colossus 1 supercomputer. According to previously reported details, Anthropic agreed to lease computing capacity worth about $1.25 billion per month through May 2029, making the overall agreement worth roughly $40 billion. The Colossus system reportedly contains more than 220,000 Nvidia GPUs with approximately 300 megawatts of computing capacity.The arrangement has prompted speculation over whether Musk could use that leverage against a competitor."That's not my style"Musk dismissed those suggestions. When one X user claimed he could effectively shut down Anthropic by ending the computing agreement, Musk replied that he would never cut them off in a way that hurt them badly, even though they are competitors. He pointed to Tesla's open-source patents and its decision to make the Supercharger network available to rival carmakers as examples of his approach to competition.The episode also highlights another growing issue in the AI industry model distillation, where companies study rival AI systems to improve their own models. During his legal dispute with OpenAI, Musk acknowledged that AI companies generally learn from one another's models, while Anthropic has previously accused some Chinese AI developers of distilling Claude. Musk's latest comments suggest that despite fierce competition, he believes Anthropic currently sets the benchmark in frontier AI and that recognition has become difficult even for rivals to ignore.

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI." The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk admits, 'I was wrong,' says Anthropic is the AI leader and calls Mythos the best model ever

The US Cybersecurity and Infrastructure Security Agency (CISA), is using Anthropic's AI model Mythos to audit government software, Reuters has reported, citing three people familiar with the matter. This is interesting given the tussles between the Trump administration and Anthropic, the firm behind the popular Claude AI models. CISA is using Mythos to scan government code repositories for bugs that could leave the door open for foreign spies and cybercriminals, according to the report.<h2>Why is the US government using Anthropic's coding agent significant? The political irony</h2>It's interesting that the agency is using the controversial Mythos, not the regular Claude model for the audit, as per the report. Mythos has demonstrated the ability to find, exploit and fix cybersecurity vulnerabilities, including those in the financial and banking sectors. Upon its release, Mythos was immediately restricted for use only by approved organisations. The political irony is not lost on anyone. Just three months ago, the Pentagon had slapped Anthropic with a supply-chain risk designation. A judge later blocked the blacklisting in March. Mythos has not yet been released to the public.Axios, meanwhile, had reported that the US intelligence agency, the National Security Agency (NSA), had been using Mythos as of April despite the blacklist. The New York Times reported in late June that NSA analysts testing it in classified settings were impressed by its performance.In short, the US security establishment is quietly embracing the very company that the Trump administration had tried to blacklist.Also read: <a href="https://www.wionews.com/world/they-showed-us-what-it-could-do-and-it-s-scary-congressman-andrew-garbarino-on-anthropic-mythos-model-demo-claude-ai-news-1782552364247">'They showed us what it could do, and it's scary': Congressman on Anthropic Mythos model demo</a><h2>Which websites are included for Anthropic code-checking?</h2>The Reuters report said the Anthropic AI model would be used for auditing government code repositories, not websites as such. The task is being carried out by CISA's Attack Surface Evaluation (ASE) team, which conducts digital security assessments and authorised hacking exercises across government systems. It is not clear exactly how much government code the team has reviewed or the nature and severity of the vulnerabilities it has discovered. Nor have CISA or Anthropic disclosed which government departments or websites are included in the programme.<a href="https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed">https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed</a><h2>Finance, business and economy relevance</h2>The ASE team works across the federal government. Therefore, it would be reasonable to assume that systems operated by the Department of the Treasury, the Securities and Exchange Commission (SEC), the Internal Revenue Service (IRS) and the Department of Commerce could potentially fall within the scope of these audits, although the Reuters story does not specifically mention any of these agencies. Notably, in February, the Treasury, State and Health and Human Services Departments issued statements confirming compliance with the government directive at the time to phase out Anthropic tools following government order.Also read: <a href="https://www.wionews.com/technology/from-mythos-to-reality-anthropic-launches-claude-fable-5-its-most-powerful-public-ai-model-1781035985872">From Mythos to reality: Anthropic launches Claude Fable 5, its most powerful public AI model</a><h2>Is the US government admitting that its code needs fixing?</h2>The sources cited by Reuters said the audits had already uncovered a large number of vulnerabilities. However, this should not be interpreted as an admission that government software is fundamentally broken. Large organisations routinely conduct code audits because legacy software, outdated libraries and coding errors inevitably accumulate over time. AI is now making it significantly easier to identify bugs and security vulnerabilities in large volumes of legacy code at scale, allowing agencies to fix weaknesses before they can be exploited by foreign adversaries or cybercriminals.

CISA, the US cybersecurity agency, is using Anthropic's unreleased Mythos AI to audit US government code repositories for cybersecurity flaws. This is a major shift in federal AI adoption despite earlier Trump-era restrictions against Anthropic.

The US Cybersecurity and Infrastructure Security Agency (CISA), is using Anthropic's AI model Mythos to audit government software, Reuters has reported, citing three people familiar with the matter. This is interesting given the tussles between the Trump administration and Anthropic, the firm behind the popular Claude AI models. CISA is using Mythos to scan government code repositories for bugs that could leave the door open for foreign spies and cybercriminals, according to the report. Why is the US government using Anthropic's coding agent significant? The political irony It's interesting that the agency is using the controversial Mythos, not the regular Claude model for the audit, as per the report. Mythos has demonstrated the ability to find, exploit and fix cybersecurity vulnerabilities, including those in the financial and banking sectors. Upon its release, Mythos was immediately restricted for use only by approved organisations. The political irony is not lost on anyone. Just three months ago, the Pentagon had slapped Anthropic with a supply-chain risk designation. A judge later blocked the blacklisting in March. Mythos has not yet been released to the public. Axios, meanwhile, had reported that the US intelligence agency, the National Security Agency (NSA), had been using Mythos as of April despite the blacklist. The New York Times reported in late June that NSA analysts testing it in classified settings were impressed by its performance. In short, the US security establishment is quietly embracing the very company that the Trump administration had tried to blacklist. Also read: 'They showed us what it could do, and it's scary': Congressman on Anthropic Mythos model demo Which websites are included for Anthropic code-checking? The Reuters report said the Anthropic AI model would be used for auditing government code repositories, not websites as such. The task is being carried out by CISA's Attack Surface Evaluation (ASE) team, which conducts digital security assessments and authorised hacking exercises across government systems. It is not clear exactly how much government code the team has reviewed or the nature and severity of the vulnerabilities it has discovered. Nor have CISA or Anthropic disclosed which government departments or websites are included in the programme. https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed Finance, business and economy relevance The ASE team works across the federal government. Therefore, it would be reasonable to assume that systems operated by the Department of the Treasury, the Securities and Exchange Commission (SEC), the Internal Revenue Service (IRS) and the Department of Commerce could potentially fall within the scope of these audits, although the Reuters story does not specifically mention any of these agencies. Notably, in February, the Treasury, State and Health and Human Services Departments issued statements confirming compliance with the government directive at the time to phase out Anthropic tools following government order. Also read: From Mythos to reality: Anthropic launches Claude Fable 5, its most powerful public AI model Is the US government admitting that its code needs fixing? The sources cited by Reuters said the audits had already uncovered a large number of vulnerabilities. However, this should not be interpreted as an admission that government software is fundamentally broken. Large organisations routinely conduct code audits because legacy software, outdated libraries and coding errors inevitably accumulate over time. AI is now making it significantly easier to identify bugs and security vulnerabilities in large volumes of legacy code at scale, allowing agencies to fix weaknesses before they can be exploited by foreign adversaries or cybercriminals.

CISA, the US cybersecurity agency, is using Anthropic's unreleased Mythos AI to audit US government code repositories for cybersecurity flaws. This is a major shift in federal AI adoption despite earlier Trump-era restrictions against Anthropic.

US cybersecurity agency is reportedly using Anthropic's Mythos for auditing govt code. What does it mean?

The AI firm Anthropic has barred all foreign nationals from accessing its latest AI models, Fable 5 and Mythos 5, as per an order of the United States government citing national security reasons. The company, known for its Claude chatbot, said government agencies had instructed it to prevent all foreign nationals from accessing Fable 5 and Mythos 5.&nbsp;The Mythos AI model is particularly adept at detecting software vulnerabilities, some of which have remained undiscovered for decades. This capability has been used by US authorities and select companies to plug security gaps. The Fable 5 model, released this week, is also based on Mythos technology, but its cybersecurity and biotechnology capabilities are blocked.&nbsp;&nbsp;The US government believes that such AI could become a dangerous cyberweapon in the wrong hands, and rightly so.&nbsp;Also Read: <a href="https://www.wionews.com/world/mou-will-ensure-end-of-war-on-all-fronts-including-lebanon-iran-s-foreign-minister-abbas-araghchi-1781296154181">MoU will ensure end of war on all fronts, including Lebanon: Iran’s Foreign Minister Abbas Araghchi&nbsp;</a><h2>US government’s order to Anthropic sparks debate</h2>&nbsp;However, the US government’s order has sparked a debate about who controls the future of artificial intelligence and whether globalisation is dead.&nbsp;The access curb marks a major shift in how governments regulate artificial intelligence. Until now, restrictions largely focused on chips and hardware used to build and run AI systems.&nbsp;Now questions are being asked about technology sovereignty and whether countries can even rely on AI systems developed elsewhere.&nbsp;&nbsp;Globalisation has been one of the hallmarks of the modern world, as it enabled the free flow of goods, services, capital, technology, and ideas across national boundaries. The internet accelerated it by creating a global digital marketplace where innovation could spread rapidly and benefit people worldwide. The access curbs on advanced AI models show that AI is no longer viewed merely as a commercial product but as a strategic asset.&nbsp;Also Read: <a href="https://www.wionews.com/world/us-govt-funded-foreign-biolabs-many-of-them-worked-on-dangerous-pathogens-reveals-tulsi-gabbard-1781283223008">US govt funded foreign biolabs, many of them worked on dangerous pathogens, reveals Tulsi Gabbard</a><h2>Powerful AI models can affect military capabilities, cybersecurity</h2>&nbsp;&nbsp;Governments recognise that powerful AI models can influence military capabilities, cybersecurity, scientific research, and economic productivity and are trying to protect technological advancements that can be misused.&nbsp;&nbsp;The globalisation concept was built on the principles of openness, international cooperation, and the belief that innovation should spread across borders.&nbsp;Globalisation also has its own challenges, the primary ones being income inequality, job displacement, and environmental concerns.&nbsp;Moreover, it would be premature to say that globalisation is dying or is dead. In fact, globalisation may be evolving and taking a new form. Global economic interdependence still remains strong even as some strategic technologies may be becoming more restricted.&nbsp;&nbsp;Also Read: <a href="https://www.wionews.com/world/us-will-use-iran-s-frozen-funds-to-pay-for-damages-inflicted-on-gulf-allies-scott-bessent-1781205304888">‘US will use Iran’s frozen funds to pay for damages inflicted on Gulf allies’: Scott Bessent</a><h2>AI development depends on global supply chains, talent pools, and collaboration</h2>&nbsp;AI development itself depends on international supply chains, global talent pools, and cross-border collaboration. Researchers and engineers from different countries are contributing to the advancements in computing infrastructure and data science. Complete technological isolation is very difficult to achieve in a highly interconnected world.Both competition and cooperation are evident in the AI industry as nations compete for leadership in the field, but they also collaborate on research, standards, and governance frameworks.&nbsp;&nbsp;Various governments, academic institutions, and private companies from across the globe are heavily involved in international discussions on AI ethics, safety, and regulation. All these happenings suggest that globalisation is not disappearing but adapting to new situations, realities and perceptible threats.

Anthopic’s Mythos model is particularly adept at detecting software vulnerabilities, some of which remained undiscovered for decades. It has been used by US authorities and select companies to plug security gaps. The US believes such AI could become a dangerous cyberweapon in the wrong hands.

The AI firm Anthropic has barred all foreign nationals from accessing its latest AI models, Fable 5 and Mythos 5, as per an order of the United States government citing national security reasons. The company, known for its Claude chatbot, said government agencies had instructed it to prevent all foreign nationals from accessing Fable 5 and Mythos 5. The Mythos AI model is particularly adept at detecting software vulnerabilities, some of which have remained undiscovered for decades. This capability has been used by US authorities and select companies to plug security gaps. The Fable 5 model, released this week, is also based on Mythos technology, but its cybersecurity and biotechnology capabilities are blocked. The US government believes that such AI could become a dangerous cyberweapon in the wrong hands, and rightly so. Also Read: MoU will ensure end of war on all fronts, including Lebanon: Iran’s Foreign Minister Abbas Araghchi US government’s order to Anthropic sparks debate However, the US government’s order has sparked a debate about who controls the future of artificial intelligence and whether globalisation is dead. The access curb marks a major shift in how governments regulate artificial intelligence. Until now, restrictions largely focused on chips and hardware used to build and run AI systems. Now questions are being asked about technology sovereignty and whether countries can even rely on AI systems developed elsewhere. Globalisation has been one of the hallmarks of the modern world, as it enabled the free flow of goods, services, capital, technology, and ideas across national boundaries. The internet accelerated it by creating a global digital marketplace where innovation could spread rapidly and benefit people worldwide. The access curbs on advanced AI models show that AI is no longer viewed merely as a commercial product but as a strategic asset. Also Read: US govt funded foreign biolabs, many of them worked on dangerous pathogens, reveals Tulsi Gabbard Powerful AI models can affect military capabilities, cybersecurity Governments recognise that powerful AI models can influence military capabilities, cybersecurity, scientific research, and economic productivity and are trying to protect technological advancements that can be misused. The globalisation concept was built on the principles of openness, international cooperation, and the belief that innovation should spread across borders. Globalisation also has its own challenges, the primary ones being income inequality, job displacement, and environmental concerns. Moreover, it would be premature to say that globalisation is dying or is dead. In fact, globalisation may be evolving and taking a new form. Global economic interdependence still remains strong even as some strategic technologies may be becoming more restricted. Also Read: ‘US will use Iran’s frozen funds to pay for damages inflicted on Gulf allies’: Scott Bessent AI development depends on global supply chains, talent pools, and collaboration AI development itself depends on international supply chains, global talent pools, and cross-border collaboration. Researchers and engineers from different countries are contributing to the advancements in computing infrastructure and data science. Complete technological isolation is very difficult to achieve in a highly interconnected world. Both competition and cooperation are evident in the AI industry as nations compete for leadership in the field, but they also collaborate on research, standards, and governance frameworks. Various governments, academic institutions, and private companies from across the globe are heavily involved in international discussions on AI ethics, safety, and regulation. All these happenings suggest that globalisation is not disappearing but adapting to new situations, realities and perceptible threats.

Anthopic’s Mythos model is particularly adept at detecting software vulnerabilities, some of which remained undiscovered for decades. It has been used by US authorities and select companies to plug security gaps. The US believes such AI could become a dangerous cyberweapon in the wrong hands.

US restricts access of Anthropic’s Mythos and Fable to Americans only. Is globalisation dead in the age of AI?

Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry. The announcement came alongside the launch of Anthropic's upgraded Claude Opus 4.8 model. While the new model attracted attention, many industry observers focused on a separate update confirming that Anthropic is preparing a broader rollout of AI systems with capabilities similar to Mythos. According to the company, safety protections are progressing quickly, allowing it to move closer to public availability.<h2>What is Anthropic's Mythos AI?</h2>Mythos is a specialised AI model designed to identify cybersecurity vulnerabilities in software systems. Unlike traditional AI chatbots that focus on answering questions or generating content, Mythos has been built to analyse software code, identify weaknesses and help organisations strengthen their digital security.The model has attracted attention because of its reported ability to find large numbers of software vulnerabilities in a short period of time. Anthropic says Mythos can identify security flaws that may otherwise take human teams weeks or months to discover. Because of these capabilities, the company initially restricted access to the model through a programme called Project Glasswing, which was created to test the technology before a wider release.<h2>Thousands of vulnerabilities already discovered</h2>According to Anthropic, Mythos Preview has already helped uncover thousands of high-severity software vulnerabilities during testing. The company said some of these vulnerabilities affected major operating systems, web browsers and critical software infrastructure used worldwide. Anthropic reported that many organisations participating in Project Glasswing discovered hundreds of significant vulnerabilities in their own systems after using the model. Some participants also reported that their software security testing became more than ten times faster compared with traditional methods. One of the most notable examples came from Cloudflare, which said the model helped identify around 2,000 software bugs across important systems. According to Anthropic, nearly 400 of those vulnerabilities were classified as high or critical severity. The company also said Cloudflare found the model produced fewer false alarms than many traditional human-led testing methods.<h2>Why cybersecurity experts are watching closely</h2>The growing capabilities of AI systems in cybersecurity have generated both excitement and concern among industry experts. Supporters believe tools such as Mythos could significantly improve software security by helping companies identify weaknesses before cybercriminals exploit them. Faster detection of vulnerabilities could reduce the risk of major data breaches, ransomware attacks and disruptions to critical infrastructure. At the same time, experts have warned that powerful cybersecurity AI systems must be released carefully. If similar technology falls into the wrong hands, it could potentially be used to identify vulnerabilities for offensive purposes rather than defence.This is one reason Anthropic created Project Glasswing, which includes participation from major technology firms such as Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike and Google.<h2>Anthropic says safeguards are improving</h2>Anthropic said the broader release is possible because the company is making progress on safety protections and monitoring systems. The company stated that it expects Mythos-class models to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be the exact Mythos model currently being tested or a closely related version with similar capabilities. The announcement reflects a broader trend across the AI industry, where companies are increasingly developing specialised models for fields such as cybersecurity, software engineering and scientific research.The wider rollout of Mythos-class AI could become one of the most significant cybersecurity developments of the year. If Anthropic's claims are validated through broader deployment, organisations may gain access to tools capable of finding software vulnerabilities at a speed that was previously difficult to achieve. For businesses, governments and cybersecurity teams, the coming weeks will provide a clearer picture of how advanced AI systems can be used to strengthen digital defences while balancing safety and responsible deployment.&nbsp;

Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry.


Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry. The announcement came alongside the launch of Anthropic's upgraded Claude Opus 4.8 model. While the new model attracted attention, many industry observers focused on a separate update confirming that Anthropic is preparing a broader rollout of AI systems with capabilities similar to Mythos. According to the company, safety protections are progressing quickly, allowing it to move closer to public availability. What is Anthropic's Mythos AI? Mythos is a specialised AI model designed to identify cybersecurity vulnerabilities in software systems. Unlike traditional AI chatbots that focus on answering questions or generating content, Mythos has been built to analyse software code, identify weaknesses and help organisations strengthen their digital security. The model has attracted attention because of its reported ability to find large numbers of software vulnerabilities in a short period of time. Anthropic says Mythos can identify security flaws that may otherwise take human teams weeks or months to discover. Because of these capabilities, the company initially restricted access to the model through a programme called Project Glasswing, which was created to test the technology before a wider release. Thousands of vulnerabilities already discovered According to Anthropic, Mythos Preview has already helped uncover thousands of high-severity software vulnerabilities during testing. The company said some of these vulnerabilities affected major operating systems, web browsers and critical software infrastructure used worldwide. Anthropic reported that many organisations participating in Project Glasswing discovered hundreds of significant vulnerabilities in their own systems after using the model. Some participants also reported that their software security testing became more than ten times faster compared with traditional methods. One of the most notable examples came from Cloudflare, which said the model helped identify around 2,000 software bugs across important systems. According to Anthropic, nearly 400 of those vulnerabilities were classified as high or critical severity. The company also said Cloudflare found the model produced fewer false alarms than many traditional human-led testing methods. Why cybersecurity experts are watching closely The growing capabilities of AI systems in cybersecurity have generated both excitement and concern among industry experts. Supporters believe tools such as Mythos could significantly improve software security by helping companies identify weaknesses before cybercriminals exploit them. Faster detection of vulnerabilities could reduce the risk of major data breaches, ransomware attacks and disruptions to critical infrastructure. At the same time, experts have warned that powerful cybersecurity AI systems must be released carefully. If similar technology falls into the wrong hands, it could potentially be used to identify vulnerabilities for offensive purposes rather than defence. This is one reason Anthropic created Project Glasswing, which includes participation from major technology firms such as Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike and Google. Anthropic says safeguards are improving Anthropic said the broader release is possible because the company is making progress on safety protections and monitoring systems. The company stated that it expects Mythos-class models to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be the exact Mythos model currently being tested or a closely related version with similar capabilities. The announcement reflects a broader trend across the AI industry, where companies are increasingly developing specialised models for fields such as cybersecurity, software engineering and scientific research. The wider rollout of Mythos-class AI could become one of the most significant cybersecurity developments of the year. If Anthropic's claims are validated through broader deployment, organisations may gain access to tools capable of finding software vulnerabilities at a speed that was previously difficult to achieve. For businesses, governments and cybersecurity teams, the coming weeks will provide a clearer picture of how advanced AI systems can be used to strengthen digital defences while balancing safety and responsible deployment.

Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry.

Anthropic’s most powerful Mythos-class AI model could soon reach all users

Anthropic’s Mythos model has drawn global attention after reports suggested it could identify thousands of software vulnerabilities. The release led to concerns among governments, banks and technology firms about the possibility of a new phase of AI-driven cyberattacks.However, cybersecurity experts say that the capabilities highlighted by Mythos are not entirely new. According to researchers, similar results can already be achieved using existing AI models, including those from Anthropic and OpenAI.&nbsp;<h2>What Mythos revealed about cybersecurity risks</h2>Mythos gained attention because of its ability to detect large numbers of vulnerabilities in software systems. Some of these issues had remained unnoticed for years, raising concerns about how widely such flaws may exist.The model was released in a limited way to selected organisations, including major companies, to reduce the risk of misuse. This controlled rollout reflects the sensitivity of tools that can identify weaknesses in critical systems.&nbsp;<h2>Experts say similar capabilities already exist</h2>Despite the attention around Mythos, researchers say that the ability to detect vulnerabilities at scale has been possible for some time.Cybersecurity firms have shown that by using a method known as orchestration, multiple AI models can work together to analyse code and find similar vulnerabilities. In tests, older models from both Anthropic and OpenAI were able to detect many of the same issues identified by Mythos.Experts note that this suggests the main difference is not just the model itself, but how effectively tools are combined and used.&nbsp;<h2>What are ‘zero-day’ vulnerabilities</h2>One of the key concerns in cybersecurity is the detection of “zero-day” vulnerabilities. These are flaws in software that are unknown to developers and have not yet been fixed.Such vulnerabilities can be exploited by attackers before patches are released, making them particularly risky. Researchers say current AI tools are already capable of identifying these weaknesses, which adds to concerns about how quickly they can be used.&nbsp;Growing concern among governments and companiesThe release of Mythos has increased discussions around cybersecurity risks at the highest levels. Reports indicate that policymakers and industry leaders are considering stronger oversight of advanced AI systems.At the same time, organisations are concerned about the balance between detecting vulnerabilities and fixing them. While AI can identify issues quickly, addressing them still requires time and human effort.<h2>Offence may have an early advantage</h2>Experts suggest that the current situation may favour attackers in the short term. While AI tools can help defenders identify risks, they also make it easier for malicious actors to discover and exploit vulnerabilities.Cybersecurity professionals note that hackers already have the skills needed to use such techniques, and AI could reduce the time required to carry out attacks. This could lead to an increase in the number of attempts on systems that were previously not targeted.<h2>Challenges in fixing vulnerabilities</h2>Even before AI tools became widely available, organisations faced challenges in managing software vulnerabilities. Fixing issues often requires testing, updates and sometimes taking systems offline, which can be complex and time-consuming.Experts say that while AI has increased the number of vulnerabilities being identified, tools to fix them automatically are still limited. This creates a gap between detection and resolution.<h2>What this means for the future</h2>The discussion around Mythos highlights a broader trend in cybersecurity. AI is making it easier to identify risks, but it is also raising new challenges in how those risks are managed.Experts believe that collaboration between companies, governments and researchers will be important in addressing these issues. As AI tools continue to improve, the focus will likely shift towards building systems that can not only detect vulnerabilities but also help fix them efficiently.For now, the key takeaway is that the cybersecurity risks linked to AI are not entirely new, but they are becoming more visible and more urgent to address.&nbsp;

Anthropic’s Mythos model has drawn global attention after reports suggested it could identify thousands of software vulnerabilities. The release led to concerns among governments, banks and technology firms about the possibility of a new phase of AI-driven cyberattacks.


Anthropic’s Mythos model has drawn global attention after reports suggested it could identify thousands of software vulnerabilities. The release led to concerns among governments, banks and technology firms about the possibility of a new phase of AI-driven cyberattacks. However, cybersecurity experts say that the capabilities highlighted by Mythos are not entirely new. According to researchers, similar results can already be achieved using existing AI models, including those from Anthropic and OpenAI. What Mythos revealed about cybersecurity risks Mythos gained attention because of its ability to detect large numbers of vulnerabilities in software systems. Some of these issues had remained unnoticed for years, raising concerns about how widely such flaws may exist. The model was released in a limited way to selected organisations, including major companies, to reduce the risk of misuse. This controlled rollout reflects the sensitivity of tools that can identify weaknesses in critical systems. Experts say similar capabilities already exist Despite the attention around Mythos, researchers say that the ability to detect vulnerabilities at scale has been possible for some time. Cybersecurity firms have shown that by using a method known as orchestration, multiple AI models can work together to analyse code and find similar vulnerabilities. In tests, older models from both Anthropic and OpenAI were able to detect many of the same issues identified by Mythos. Experts note that this suggests the main difference is not just the model itself, but how effectively tools are combined and used. What are ‘zero-day’ vulnerabilities One of the key concerns in cybersecurity is the detection of “zero-day” vulnerabilities. These are flaws in software that are unknown to developers and have not yet been fixed. Such vulnerabilities can be exploited by attackers before patches are released, making them particularly risky. Researchers say current AI tools are already capable of identifying these weaknesses, which adds to concerns about how quickly they can be used. Growing concern among governments and companies The release of Mythos has increased discussions around cybersecurity risks at the highest levels. Reports indicate that policymakers and industry leaders are considering stronger oversight of advanced AI systems. At the same time, organisations are concerned about the balance between detecting vulnerabilities and fixing them. While AI can identify issues quickly, addressing them still requires time and human effort. Offence may have an early advantage Experts suggest that the current situation may favour attackers in the short term. While AI tools can help defenders identify risks, they also make it easier for malicious actors to discover and exploit vulnerabilities. Cybersecurity professionals note that hackers already have the skills needed to use such techniques, and AI could reduce the time required to carry out attacks. This could lead to an increase in the number of attempts on systems that were previously not targeted. Challenges in fixing vulnerabilities Even before AI tools became widely available, organisations faced challenges in managing software vulnerabilities. Fixing issues often requires testing, updates and sometimes taking systems offline, which can be complex and time-consuming. Experts say that while AI has increased the number of vulnerabilities being identified, tools to fix them automatically are still limited. This creates a gap between detection and resolution. What this means for the future The discussion around Mythos highlights a broader trend in cybersecurity. AI is making it easier to identify risks, but it is also raising new challenges in how those risks are managed. Experts believe that collaboration between companies, governments and researchers will be important in addressing these issues. As AI tools continue to improve, the focus will likely shift towards building systems that can not only detect vulnerabilities but also help fix them efficiently. For now, the key takeaway is that the cybersecurity risks linked to AI are not entirely new, but they are becoming more visible and more urgent to address.

Anthropic’s Mythos model has drawn global attention after reports suggested it could identify thousands of software vulnerabilities. The release led to concerns among governments, banks and technology firms about the possibility of a new phase of AI-driven cyberattacks.

‘AI cyber risk’: Why existing AI models are already powerful

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Mythos Model, News on Mythos Model, stories on Mythos Model, articles on Mythos Model, Mythos Model stories at Wion, Mythos Model news, Mythos Model latest news

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Elon Musk admits, 'I was wrong,' says Anthropic is the AI leader and calls Mythos the best model ever

US is using Anthropic's Mythos for auditing govt code. What does it mean?

US restricts access of Anthropic’s Mythos and Fable. Is globalisation dead?

Anthropic’s most powerful Mythos-class AI model could soon reach all users

‘AI cyber risk’: Why existing AI models are already powerful