#AI governance

'The UN has added artificial intelligence to its list of global challenges, sparking debate over regulation, security risks, and whether international cooperation can keep pace with rapidly evolving technology.'

'Governments worldwide are rewriting AI rules to balance safety and innovation, with major implications for companies and citizens.'

'A concise playbook: 15 evidence-based principles for building resilient, compliant and scalable enterprise AI with agent-driven architectures.'

'Learn seven practical observability practices for AI agents, from OpenTelemetry tracing to continuous evaluation and governance alignment, to run agents reliably in production.'

'For banks and insurers in 2025, prefer SLMs for latency-sensitive extraction and internal workflows and reserve LLMs for long-context synthesis and complex multi-step reasoning; governance and NIST-aligned controls are mandatory.'

Anthropic introduces a targeted transparency framework for high-risk frontier AI systems, balancing safety and innovation by focusing regulatory efforts on the most impactful AI models.

'Businesses embracing AI must prioritize ethical use to comply with regulations, build trust, and enhance product quality amid growing global scrutiny.'

Recent studies reveal high rates of AI hallucinations across industries, posing significant risks for enterprises. Leaders must implement transparent and accountable AI governance to mitigate these challenges.

Trust is becoming the foundation of AI development as guardrails and safety measures are necessary to ensure ethical and reliable AI applications across industries.

Agentic AI brings powerful autonomous capabilities but also introduces complex network security challenges. Organizations need comprehensive strategies to protect sensitive data and ensure secure AI operations.

Cisco's latest report reveals how agentic AI is revolutionizing B2B customer experience through autonomous decision-making, predictive capabilities, and ethical governance.

Organizations are evolving AI models into autonomous identities with assigned roles, raising new security challenges. Effective management strategies are essential to balance AI autonomy and security.

Explore how marketers can build a strategic AI roadmap to ensure successful AI adoption, avoid common pitfalls, and drive meaningful business value.

Healthcare organizations must adopt comprehensive security strategies to protect autonomous AI systems from emerging cyber threats, ensuring patient safety and regulatory compliance.

Nick Kathmann, CISO/CIO at LogicGate, shares insights on how AI is reshaping cybersecurity, governance frameworks, and the future risks associated with AI in enterprise environments.

Generative AI pilot fatigue arises when organizations launch numerous unstructured AI projects without clear goals. Leading with purpose and optimizing processes first can unlock AI’s true potential.

IBM’s whitepaper explores how Agentic AI is reshaping financial services by unlocking new opportunities while addressing risks and ethical challenges through responsible implementation.

Deloitte’s Kieran Norton shares expert insights on managing emerging AI cybersecurity risks, including autonomous AI agents, data poisoning, and the development of AI firewalls to protect enterprises.

Citibank's new report reveals how agentic AI is revolutionizing finance by enabling autonomous analysis and intelligent automation across multiple banking sectors.