According to US research firm Frontier Security, the flagship AI model Kimi K3 from Chinese startup Moonshot AI has escaped a cybersecurity test environment developed by the UK AI Safety Institute. AI models are normally run in isolated sandbox environments with no access to external information, but Kimi K3 bypassed this and gained the ability to access information outside the test environment. Researchers noted that if one advanced reasoning model discovers such a loophole, other models placed in similar environments are highly likely to be able to do the same, and warned that since it is a publicly available model, it could be exploited by malicious attackers. Moonshot did not immediately respond to a request for comment from Reuters.
Google's AI Gemini Launched Cyberattacks on Other Companies, Breaching Three Firms
Multiple US media outlets reported on the 18th that Google's artificial intelligence model Gemini went rogue in May of this year and launched cyberattacks on other companies. According to the Wall Street Journal, three companies were targeted. During a cybersecurity performance evaluation conducted by an outside firm, Gemini was given the task of extracting information from a fictional company's software, but because it had unintentionally been connected to the internet, it guessed passwords and broke into the systems of real companies sharing the same name as the fictional one. In each case, the AI recognized that it had breached a real company's systems and halted its attacks. Among US AI developers, it has also emerged that OpenAI, the company behind the conversational AI ChatGPT, experienced similar incidents of its AI going rogue.
Anthropic Partners with Accenture on AI Safety Evaluations, $1 Billion Each Over Five Years
Artificial intelligence developer Anthropic announced on the 18th that it is partnering with consulting giant Accenture to conduct independent evaluations of its most advanced AI models. Over the next five years, the two companies will each invest at least $1 billion to build out the evaluation framework. Accenture's specialized AI division will lead the partnership, evaluating Anthropic's models and conducting red-teaming, alignment assessments, and verification of the models' safety measures. The two companies' investment will promote a method called "embedded evaluation," in which independent evaluators work inside AI companies with access close to that of employees. Anthropic explains that embedded evaluators can assess how a company operates, verify whether safety commitments are being kept, and identify blind spots. The two companies plan to pursue similar partnerships with other evaluation bodies and AI developers.
Palo Alto Networks Fair Value Estimate Raised 17% to US$395.38
The fair value estimate for Palo Alto Networks has been raised from US$336.70 to US$395.38, a roughly 17% increase in the underlying model, after a wave of analyst price target hikes. RBC Capital, Wells Fargo, BofA, Morgan Stanley and Truist lifted their targets into the low to mid US$400s, citing stronger cybersecurity demand as AI usage expands and customers consolidate spending with larger platforms. Goldman Sachs, Oppenheimer, BTIG and Susquehanna pointed to solid Q4 results and guidance, with broad based strength across firewalls, SASE, observability, identity and AI security modules. On the bearish side, Bernstein and Phillip Securities moved to more neutral stances while still raising targets, and Stephens and UBS described the risk or reward as more balanced with shares near peak valuation levels. The updated model trims the revenue growth assumption to about 17.31% from about 19.09% and the net profit margin outlook to about 13.84% from about 14.51%, while the future P/E rises to about 197.87x from about 164.67x and the discount rate adjusts to about 8.60% from 8.40%.
