New tools, products, platforms, funding rounds, and company developments in AI security.
A researcher converted Anthropic's published Claude system prompts (the hidden instructions that guide Claude's behavior) from a single markdown document into a git repository (a version control system that tracks file changes over time) with timestamped commits, allowing easier exploration of how the prompts have evolved across different Claude model versions using standard git tools like `log` and `diff`.
OpenAI experienced multiple executive departures, including the leaders of its video generation product (Sora) and its scientific research division. The company is reorganizing its science team to work more closely with product and infrastructure groups, while also dealing with medical leaves and transitions among other senior leaders.
Cerebras, a company that makes specialized chips for running AI models, filed to go public on Nasdaq after previously canceling IPO plans in 2024. The company reported strong financial growth in 2025 with $510 million in revenue (up 76% from 2024) and has major deals with OpenAI (worth over $20 billion for computing power through 2028) and Amazon, positioning itself as an alternative to Nvidia's GPUs (graphics processing units, specialized processors commonly used for AI tasks) by claiming faster speeds and lower costs.
OpenAI abandoned its Sora video generation tool and Bill Peebles, the leader of the Sora team, is leaving the company. OpenAI is refocusing its priorities away from what it calls "side quests" to concentrate on coding and enterprise products instead.
Tinder is partnering with World, a company co-founded by OpenAI CEO Sam Altman, to let users verify their identity using facial scanning orbs (physical devices that take pictures of faces and eyes to confirm someone is a real person, not a bot or AI agent). Users who complete this verification in select markets like Japan and the United States will receive five free boosts in the app.
AI companies may be overestimating demand by measuring success through token consumption (the basic units of AI usage, like words and characters), rather than actual business value or return on investment. Anthropic is adjusting its pricing model away from flat monthly fees toward per-token billing and has discontinued third-party tools that were consuming excessive tokens without generating meaningful results, positioning itself better if AI demand projections prove inflated.
The White House is planning a meeting between its Chief of Staff and Anthropic's CEO to discuss Anthropic's new AI technology and concerns about the security of software built with advanced AI models. This reflects ongoing government engagement with major AI labs about how their systems work and potential risks.
Anthropic CEO Dario Amodei is meeting with White House officials to discuss Mythos, a new AI model that can identify security weaknesses in software. This meeting marks a potential improvement in relations between Anthropic and the Trump administration, which had previously blacklisted the company and ordered federal agencies to stop using its Claude AI models, though a court temporarily blocked that directive.
CoChat is a new platform designed to help teams work together with AI while adding visibility and governance (oversight and control) to shadow AI (unauthorized or untracked AI use within organizations). The platform aims to address the problem of AI tools being used without proper management or awareness by company leadership.
Nvidia currently dominates AI chip manufacturing, but startups are raising record funding to compete with alternative designs optimized for AI inference (deploying trained models in real applications). Investors are increasingly backing these new companies, with $8.3 billion raised globally in 2026, because they argue that purpose-built chip architectures can deliver significant energy and cost savings compared to Nvidia's GPUs, which were originally designed for gaming.
A security flaw in Cursor AI could allow attackers to gain shell access (the ability to run commands on a computer) by combining three techniques: indirect prompt injection (hiding malicious instructions in data that the AI reads rather than typing them directly), a sandbox bypass (escaping the restricted environment meant to contain the AI), and Cursor's remote tunnel feature (which allows access to machines over the internet). This chain of attacks could expose developer devices to unauthorized access.
Anthropic, an AI company, met with White House officials after releasing Claude Mythos, an AI tool that can find bugs in old code and autonomously exploit them for security testing. The meeting signals potential collaboration between the government and Anthropic despite previous tensions, as officials discussed balancing innovation with safety concerns around this powerful technology.
A researcher discovered that Claude Opus 4.7 can be tricked using an adversarial image (a specially crafted image designed to fool AI systems) generated by ChatGPT to misuse the memory tool and store false information for future conversations. While Claude Opus 4.6+ is harder to attack than earlier versions because it reasons through requests before acting, it remains vulnerable to this type of indirect prompt injection (embedding hidden malicious instructions in images rather than text).
Anthropic, an AI company, faced criticism from the Trump administration over concerns about national security and refused to allow its technology to be used for domestic mass surveillance or fully autonomous weapons without human control. The company is now working to improve its relationship with the government by developing Claude Mythos Preview, a new AI model designed specifically for cybersecurity tasks.
Fix: Anthropic's mitigation strategies mentioned in the source include: (1) moving from flat-rate enterprise pricing to per-token billing so revenue reflects actual usage; (2) cutting off third-party agentic tools (like OpenClaw) that were consuming large volumes of tokens unsustainably; and (3) planning infrastructure investment carefully by accounting for a 'cone of uncertainty' (acknowledging that data centers take 1-2 years to build, so companies must estimate future demand carefully rather than over-committing to infrastructure based on inflated projections).
CNBC TechnologyThe article argues that AI systems aren't necessarily introducing entirely new security problems, but rather making existing vulnerabilities worse and easier to exploit. AI amplifies old bugs rather than creating fundamentally new ones.
Claude Mythos is Anthropic's latest AI model that can outperform humans at hacking and cybersecurity tasks, including finding and exploiting dormant bugs in old code. Anthropic restricted access to 12 major tech companies and 40+ organizations responsible for critical software through an initiative called Project Glasswing (a program designed to help secure important systems), rather than releasing it publicly, due to concerns from regulators, financial institutions, and government officials about potential risks to digital security.
Fix: Anthropic gave 12 tech companies and more than 40 organisations responsible for critical software access to Mythos via Project Glasswing, which it described as 'an effort to secure the world's most critical software.' Anthropic also offered to work with US government officials to 'help defend against the risk of these models.'
BBC TechnologyThe White House is working to authorize a modified version of Anthropic's Claude Mythos model, an AI system that can identify cybersecurity vulnerabilities (weaknesses in software that attackers could exploit), for use by federal agencies. The move comes despite the Department of Defense maintaining a ban on contracting with Anthropic, and raises questions about what safety modifications and controls would be needed before deploying such a powerful AI tool in government.
Fix: According to Neil Shah, VP for research at Counterpoint Research, federal deployment modifications should include: keeping scanned code within isolated and air-gapped environments (systems physically disconnected from networks), ensuring data is not used to retrain the base model, implementing transparency requirements, and requiring human-in-the-loop review (where humans approve actions before they happen) before any bug fix is applied. The memo references that the OMB is 'setting up protections' and working with model providers and the intelligence community to ensure 'appropriate guardrails and safeguards are in place,' though specific technical details of these protections are not provided in the source text.
CSO OnlineAnthropic created Claude Mythos, an AI model so skilled at finding and exploiting software vulnerabilities (weaknesses in code that attackers can abuse) that the company restricted its access to about 50 large organizations instead of releasing it publicly. While this approach seems responsible, critics argue we lack key information to evaluate whether Mythos truly works as well as claimed, including how often it incorrectly flags safe code as vulnerable, and whether it can find bugs in less common software like medical devices or industrial control systems.
Palo Alto Networks is participating in Project Glasswing, an AI-based initiative led by Anthropic that uses Claude Mythos (an advanced AI model) to discover zero-day vulnerabilities (security flaws unknown to software makers) in operating systems and browsers across the industry. The company is also addressing the cybersecurity gap in AI deployments through recent acquisitions, including Protect AI for securing language models and AI agents, CyberArk for identity security, Chronosphere for managing AI-generated data, and Koi for protecting against risks from autonomous AI agents on user devices.
Anthropic is expanding access to Claude, a powerful AI model that was initially restricted to US companies like Amazon, Apple, and Microsoft, to UK banks in the coming week. Senior finance leaders have expressed concerns about the risks of deploying this tool in the financial sector.