Tag: responsible ai
18 articles
Cybersecurity Firms Back AI Charter to Guide Secure Use
CREST has launched a groundbreaking AI Charter, outlining nine essential principles to ensure the secure and responsible use of AI in cybersecurity, with industry leaders rallying behind the initiative as a crucial step towards a safer digital landscape. The charter's nine points provide a comprehensive framework for accountability, transparency, and security in AI-driven cybersecurity activities.
Anthropic Bolsters AI Model with Enhanced Reasoning, Security Features
Meet Sonnet 5, Anthropic's latest AI model that's setting a new standard for safety and reliability, outperforming its predecessor with a lower rate of undesirable behaviors and enhanced defenses against malicious requests. This cutting-edge model is designed to be more agentic, accurate, and secure, making it a game-changer for users.
OpenAI Targets Faster Patching with Expanded Cyber-Defense Program
OpenAI's new GPT-5.5-Cyber model has achieved a record 85.6% score on CyberGym's vulnerability test, outperforming its standard counterpart and paving the way for faster patching with cutting-edge tooling and partnerships. This major breakthrough enables verified defenders to accelerate vulnerability fixes with enhanced security capabilities.
Federal Agencies Target AI Governance as Adoption Scales
As AI moves from experimental pilots to integral workflows within federal agencies, the focus shifts to responsible adoption, with success in 2026 hinging on secure and disciplined implementation. The right approach will be crucial, as agencies that adopt AI securely and responsibly will be the ones that truly thrive.
Anthropic Unveils Guarded AI Model Amid Hacking Risks
Anthropic is taking a bold step to mitigate the risks of its powerful AI model, introducing a modified version, Claude Fable 5, with built-in safeguards to prevent misuse in sensitive areas like cybersecurity and biology. By limiting the model's capabilities in these high-risk domains, Anthropic aims to balance innovation with responsible AI development.
AI Governance Must Balance Innovation with Accountability
As AI models like Anthropic's Claude Mythos and OpenAI's Daybreak reach new heights, we face a crucial choice: foster an ecosystem that balances innovation with accountability, or risk stifling progress. By prioritizing responsible leadership, like Anthropic's deliberate delay of Mythos' deployment to surface vulnerabilities, we can pave the way for a safer and more reliable future.
US Lawmakers Urge Action on AI-Discovered Vulnerabilities
Thirty-five US lawmakers are urging the White House to create a plan to manage the impending flood of AI-discovered vulnerabilities, seeking a framework to handle security flaws exposed by advanced AI models. They want federal agencies and private-sector leaders to collaborate on strategies to tackle this emerging challenge.
Anthropic Unveils AI Model Capable of Exploiting Software Vulnerabilities
Anthropic has just unveiled an AI model that can expose and exploit software vulnerabilities, raising a crucial question: can a tool that reveals the weaknesses of our digital world be safely shared with that world? The company has taken a cautious approach, limiting access to this powerful model to just 50 select organizations.
Anthropic AI Model Exposes Vulnerabilities in Major Operating Systems
Anthropic's latest AI model, Claude Mythos Preview, has made a groundbreaking discovery, identifying vulnerabilities in every major operating system and web browser, sparking attention from intelligence agencies and a crucial debate on managing powerful tools. This revelation raises important questions about the dual role of AI in exposing and potentially enabling exploitation of critical software.
Anthropic Deploys AI to Autonomously Fix Software Vulnerabilities
Imagine an AI that can proactively hunt down and fix hidden software vulnerabilities in critical systems before hackers can exploit them - Anthropic's new Project Glasswing is making this a reality with its cutting-edge AI model, Claude Mythos Preview. This groundbreaking initiative has the potential to revolutionize cybersecurity, but also raises intriguing questions about its capabilities and implications.
Anthropic Withholds AI Model Over Misuse Fears
Anthropic has taken a bold step by withholding its latest artificial intelligence model from public release, citing concerns that its immense power could be misused. The company's new model, Claude Mythos Preview, has pushed the boundaries of automated capability, but Anthropic is taking a cautious approach to protect against potential risks.
AI and Automation in Federal ITSM Must-Have Best Practices
Federal ITSM teams are at a crossroads: rush into AI and automation and risk operational surprises, or wait and let inefficiencies fester. With realistic, scalable partnerships and strong governance, agencies can modernize responsibly—speeding response times, easing staff burden, and protecting mission-critical services and public trust.
Enterprise AI Maturity Journey Exclusive: Best 5 Stages
Navigate the five-stage Enterprise AI Maturity Journey — from quick experiments to scalable, mission-critical AI — and learn how to sidestep technical debt, regulatory pitfalls, and public distrust.
Enterprise AI Maturity Exclusive: 5 Best Stages for Scaling
Enterprise AI Maturity forces a stark choice—scale fast and risk governance gaps, or move slowly and risk falling behind—so what will your organization choose? This report maps five pragmatic stages and gives clear, actionable steps leaders can use to scale AI responsibly and confidently.
AI Essential Strategies for Effortless Human Collaboration
Agentic AI can supercharge teams, but when we bolt autonomy onto old workflows it often misreads context, spins on trivial tasks, and creates more work than it saves. To get real gains, leaders must redesign social, operational, and governance practices so humans can question, override, and collaborate smoothly with agents.
Building Trustworthy AI Agents: Must-Have Best Practices
Build Trustworthy AI Agents with must-have best practices that prioritize transparency, safety, and reliability—so your AI earns user confidence from day one.
Like Social Media: Must-Have AI Choices for Best Outcomes
As AI becomes the engine behind decisions that shape jobs, benefits, and public safety, the governance choices we make now will decide whether it amplifies opportunity or entrenches harm. This post unpacks practical AI risk management—from engineering controls to NIST-style frameworks and policy trade-offs—so powerful systems stay transparent, fair, and accountable.
Scientists Must Outline a Stunning, Best-Case Vision for AI
Scientists must sketch a bold, best-case vision for artificial intelligence—one that amplifies human dignity, defends democracy, and shares prosperity instead of enabling deepfakes, surveillance, and exploitation.