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Learn to build basic network monitoring and website status checking tools using Python to enhance your digital security awareness.
Anthropic's new AI model Mythos is being hailed as both a powerful security tool and a potential cyberweapon, forcing the industry to reconsider how it approaches cybersecurity.
Learn how to secure your home router against Russian hackers by updating firmware, changing passwords, and enabling strong encryption.
OpenAI is developing a cybersecurity product exclusively for a select group of companies, signaling a strategic move into enterprise security.
This explainer explores SOC 2 compliance and how AI-powered software helps organizations maintain security controls and meet regulatory requirements in cloud computing environments.
Anthropic has decided to keep its latest AI model private after discovering thousands of cybersecurity vulnerabilities across major operating systems and web browsers. The company chose to quietly share the findings with organizations responsible for internet infrastructure instead of releasing the model.
Anthropic is limiting the release of its new AI model, Mythos, citing security concerns. Experts question whether this is a genuine safety measure or a strategic move to protect competitive advantages.
Learn to build a secure data handling system using Python encryption techniques to protect against data breaches like the one that affected Mercor.
Learn how to build basic AI-powered cybersecurity tools using Python, simulating concepts from Anthropic's Claude Mythos Preview model.
Anthropic's Claude Mythos Preview recalls OpenAI's 2019 decision to withhold GPT-2, this time grounded in real findings of thousands of cybersecurity vulnerabilities uncovered by AI.
Iran-linked hackers have intensified attacks on US critical infrastructure sites as the conflict between the US and Israel escalates, raising serious national security concerns.
London-based Trent AI has raised $13 million to develop agentic security solutions for autonomous AI systems. The startup, led by former Amazon and Cambridge experts, aims to protect multi-agent AI environments as they become more prevalent.