Senior executives at leading artificial intelligence firms are preparing contingency plans for political and public revolt following a potential catastrophic safety incident.
The Israeli startup raises funds to protect growing numbers of autonomous AI agents from adversarial threats during runtime execution.
An Anthropic AI model submitted a fabricated tip to Philadelphia police, revealing delays in vendor detection of automated misuse.
Agentic AI systems execute multi-step plans without human intervention, creating novel attack surfaces that traditional security controls cannot detect or block.
The framework decouples risk decisions from technical implementation, allowing organisations to manage uncertainty without waiting for perfect security controls.
Evaluating AI suppliers reveals that vendor transparency often masks architectural risks that standard security audits fail to detect.
Machine learning models often fail because they optimise for statistical patterns rather than malicious intent, creating blind spots that attackers exploit.
Models often memorise rare data points during training, allowing attackers to reconstruct sensitive inputs through carefully crafted queries.
Auditing model decisions often reveals that the data collection method, not the algorithm itself, is the primary source of systemic unfairness.
Synthetic media attacks exploit social trust faster than technical controls can react, requiring immediate account isolation before forensic analysis.
Most detection fails because it hunts for visual artefacts that modern generative models no longer produce, leaving signal analysis as the only reliable defence.
Agentic AI shifts software from passive tools that wait for commands into active agents that plan and execute complex tasks without constant human oversight.
Small teams can secure AI by defining data boundaries and using standard frameworks, avoiding the need for expensive, dedicated compliance departments.
Large language models introduce unique injection vectors that traditional web firewalls cannot detect, requiring a shift from input sanitisation to output validation.
See how training data shapes automated decisions and learn why removing human input does not remove human prejudice from the output.
Radisson and Accenture have launched a new plugin that allows users to search, compare, and book hotels directly within the ChatGPT interface, streamlining trip planning.
Oracle reports that integrating ChatGPT and Codex converts days of specialist work into minutes across engineering and operations teams.