The rise of artificial intelligence is intensifying third-party risk management challenges for enterprises, as threats become faster and more sophisticated. Solutions such as Vanta's AI-powered platform aim to address these risks by automating vendor assessments, improving visibility, and streamlining compliance processes in dynamic ecosystems.
ZeroDrift has raised $10 million to develop technology aimed at safeguarding AI models from potential risks posed by their own outputs. The funding highlights market interest in addressing model safety challenges within the AI ecosystem.
Hackers leveraged Meta's AI support chatbot to gain access to high-profile Instagram accounts by submitting simple requests to change associated email addresses. The security vulnerability enabled the takeover and resale of valuable accounts until Meta issued a patch on May 29. Several prominent accounts, including those linked to the Obama White House and Space Force, were temporarily compromised.
Geordie AI has raised $30 million in a Series A round led by Balderton Capital to strengthen its platform for securing and governing AI agents in enterprise settings. The funding will support technology development, team growth, and U.S. expansion. Geordie AI aims to provide enterprises with greater visibility and control over their AI agent deployments.
RevEng.AI has raised $15 million in Series A funding led by the NATO Innovation Fund to enhance its AI-powered software verification platform. The company’s technology analyses compiled binaries to detect vulnerabilities and hidden components, addressing growing risks posed by AI-generated code and third-party software.
Tech companies, including Google, are actively addressing the evolving risks posed by artificial intelligence technologies. Industry leaders are adapting their security strategies in real time as new vulnerabilities and challenges emerge.
Former President Donald Trump has delayed the signing of an executive order on AI security, citing concerns that the language could hinder technological progress. The postponement introduces uncertainty regarding future U.S. policy on artificial intelligence safety and governance.
Formal verification powered by artificial intelligence is being explored as a way to strengthen cryptocurrency security. This approach aims to prevent costly exploits by mathematically proving the correctness of code used in blockchain systems. As blockchain applications grow, the integration of AI-driven verification could play a significant role in reducing vulnerabilities.
Stanford University is providing a professional course focused on AI security, covering critical issues like system safety, regulation, and neural networks. The program addresses the growing need for responsible development and deployment of artificial intelligence technologies.
OpenAI has confirmed a data breach resulting from a code security vulnerability. The breach highlights ongoing concerns about cybersecurity in artificial intelligence firms.
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