Red Teaming stories
Enterprises face faster phishing, deepfakes and automated exploits as security leaders say existing controls lag behind frontier AI models.
Boards are being pressed to abandon periodic patching as AI models can now uncover and chain software flaws faster than human teams can respond.
Financial regulators are alarmed after Anthropic said Claude Mythos can uncover software flaws at machine speed, raising bank security risks.
The framework is designed to expose hidden risks in production AI systems that can be missed by conventional one-off tests.
Security teams are bracing for harder-to-stop attacks after the model found a Linux kernel flaw that had gone unnoticed for 27 years.
AI tools are creating hidden east-west traffic that security teams struggle to monitor, raising the risk of data leakage and compromise.
The update promises better software engineering and longer task handling for users, while keeping Claude Opus 4.7 at the same price.
Brands using customer-facing chatbots face fresh pressure to prove safety and accuracy as Testlio rolls out human-led checks for live-use failures.
More than half of organisations have shipped AI tools, but quality problems and weak testing are leaving many projects stranded before production.
The hire signals Applause’s push into AI-driven testing as enterprises seek tighter checks on software before customer releases.
Offensive AI is widening exposure gaps for firms that test only a third of their attack surfaces on average, Synack says.
Boards in regulated sectors now have firmer assurance after Abacus secured CREST approval for penetration testing, renewed annually.
Security researchers say long automated jobs can make Claude Code’s deny rules fall back to user prompts, weakening protections in CI/CD pipelines.
Sensitive chats and uploaded files could have been quietly leaked from ChatGPT via DNS tunnelling before OpenAI fixed the flaw.
Security teams face a wider gap as enterprise AI moves into production, with data governance and runtime controls often managed separately.
Rising cloud adoption is leaving Australian and New Zealand firms exposed to credential abuse, misconfigurations and costly automated attacks.
As AI moves into production, enterprises face gaps between data governance and runtime controls that can expose sensitive information and policy breaches.
Researchers can now report AI misuse and harmful agent behaviour under a separate programme that could expose risks in ChatGPT Agent and Browser.
UK regulators are racing to assess whether Anthropic’s Mythos model could speed up attacks on banks and unsettle financial stability.
Many organisations overestimate their ability to recover from ransomware, as 57% of Irish respondents reported at least one attack in two years.