Tag: ai governance
58 articles
SANS Warns of AI Governance Gap as Security Teams' Confidence Eroding
Despite a significant surge in AI adoption, with 78% of organizations now using AI in their cybersecurity strategy, a growing number are facing a harsh reality: 63% report major gaps in threat detection and response. This alarming trend highlights a pressing need for better AI governance to bridge the confidence gap.
Big Tech Reconsiders Human-in-the-Loop AI Governance
Big tech giants like Amazon are rethinking the role of human oversight in AI governance, as experts question whether humans are truly the reliable safety net they're assumed to be. Human inconsistency and unpredictability are sparking a reassessment of the "human-in-the-loop" approach to managing advanced AI tools.
Sanders' AI Fund Plan Sparks Debate on Public Control
Imagine a future where a select few billionaires control the fate of humanity through their AI creations, with little to no input from the public - or one where the people have a say and reap the benefits. Senator Bernie Sanders is proposing a bold solution: a U.S. sovereign wealth fund that would give the public a 50% stake in AI companies like Anthropic, OpenAI, and xAI.
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.
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.
OWASP Unveils Framework to Gauge Agentic AI Security Maturity
As organizations rapidly deploy AI agents, governance often lags behind - but a new framework from OWASP aims to change that. The Enterprise Adoption Maturity Model provides a practical roadmap for gauging and improving agentic AI security maturity.
Trump's AI Order Falls Short on Safety, Security Oversight
As President Trump recently issued an executive order calling on AI companies to voluntarily share their most powerful models with the US government, concerns linger about the lack of concrete safety and security oversight. It's now up to Congress to step in and address the potential risks without stifling innovation or compromising free expression.
Trump Orders Federal Agencies to Oversee AI Systems Amid Cyber Fears
The White House has issued a new directive requiring companies to give the federal government 30 days' notice before publicly releasing advanced AI systems, a move aimed at balancing innovation with cybersecurity concerns. This change, down from a proposed 90 days, marks a significant shift in federal oversight of AI technology.
Senate Bill Targets Military AI Use with Stricter Regulations
Senator Kirsten Gillibrand is taking a stand against the Pentagon's rapid deployment of powerful AI technology without safeguards, introducing the Secure and Accountable Military AI Act to impose stricter regulations and prevent potentially catastrophic consequences. The proposed legislation aims to restrict AI use in autonomous weapons, domestic surveillance, and nuclear applications.
Varonis Integrates Claude Compliance API for Enhanced AI Governance
Varonis has integrated the Claude Compliance API into its Atlas AI Security Platform, empowering enterprises to confidently adopt AI with enhanced governance and oversight. This integration enables security teams to monitor AI usage, detect misuse, and assess risks with unparalleled data context.
Managing Shadow AI Tools Requires Proactive Security Measures
Employees are quietly embracing AI tools to boost productivity, with 80% using unapproved generative AI applications at work - but only 12% of companies have a formal policy in place to manage this growing trend. This creates a shadow AI gap that leaves organizations vulnerable to security risks.
US Policy Makers Wrangle Over Access to Frontier AI Models
The battle for control of the most powerful AI tools is heating up, with national security, commercial advantage, and patient safety hanging in the balance. Two leading developers, Anthropic and OpenAI, are taking contrasting approaches to granting access to these cutting-edge models.
ServiceNow Unveils AI Control Tower to Govern Enterprise AI Systems
ServiceNow's AI Control Tower is revolutionizing enterprise AI governance, empowering businesses to discover, monitor, and control AI systems across multiple platforms and data sources. With its cutting-edge command center, companies can now govern their AI agents, models, and workflows with unprecedented visibility and control.
ServiceNow Unveils AI Command Center to Tame Enterprise AI Assets
ServiceNow's AI Command Center brings order to enterprise AI assets, ensuring every system is secure, compliant, and aligned with your business strategy. This powerful tool tackles AI agent sprawl by offering a unified control tower across five key areas: discovery, observation, governance, security, and measurement.
Illinois Scales AI with Governance Focus
Illinois is taking a cautious approach to scaling AI, prioritizing governance and controls to ensure responsible implementation. By putting safeguards in place, the state aims to harness AI's potential to boost productivity and enhance citizen services.
CIOs Face Growing Pressure to Govern AI Risks
The rapid adoption of AI has led to a surge in disclosures, with a staggering 83% of S&P 500 companies now citing AI as a material business risk - a number that skyrocketed from just 12% in 2023. As executives anticipate significant productivity gains and workforce disruption, they're under growing pressure to govern AI risks effectively.
Anthropic Unveils Claude Mythos, EU Regulators Scrutinize
This week, Anthropic unveiled Claude Mythos Preview, a powerful new model that's grabbed the attention of Europe's leaders, who are now scrutinizing its implications under the bloc's new AI legislation. Will Brussels' bold regulatory move have a ripple effect on AI development worldwide?
Critical AI Agent Risk Categorization: A CISOs' Guide
As AI increasingly permeates our daily lives, a crucial question emerges: how can we safeguard against these intelligent systems becoming security threats? Not all AI agents are created equal when it comes to risk, which scales with access to systems and level of autonomy, demanding a nuanced approach to securing AI systems.
Upcoming Speaking Engagements: Exclusive Best Events
Bruce Schneier’s spring 2026 tour — from Cambridge and RSAC to the Munk School and DemocracyXChange — maps who’s shaping debates on security, AI sovereignty, and democratic resilience. These stops convene technologists, policymakers, and the public to ask: who gets to steer technology’s future?
Canada Must-Have: Nationalized AI for Best Public Service
With Ottawa’s $2‑billion Sovereign AI Compute Strategy on the table, Canada must decide whether to build national AI that keeps data, control and economic value at home—or hand the keys to foreign tech giants. That choice will determine who sets priorities, audits outcomes and benefits from the AI running our public services.
Federal AI Modernization: Exclusive, Best Results
In 2025, Federal AI Modernization flipped the switch—AI moved out of pilots and into mission-critical systems that speed claims, tighten fraud detection, and give frontline workers smarter decision tools. Backed by cloud adoption, stronger data governance, and smarter acquisition, agencies are now operationalizing models securely and incrementally while keeping humans in the loop.
Agentic AI: Exclusive Guide to Trusted, Effortless Ops
Agentic AI is already slashing backlogs—automating ticket triage, outage fixes and procurement steps to cut weeks from workflows—yet those speed gains only pay off when agencies pair them with strong governance, security and accountability. Embrace the promise, but design for safe, explainable autonomy before you hand over the reins.
Palo Alto CEO Exclusive: AI Risky for Business, Yet
Nikesh Arora of Palo Alto warns AI is irresistible—but also a new form of enterprise risk. Companies are racing to deploy LLMs and coding assistants, yet boards and CISOs must pair ambition with guardrails to prevent model poisoning, data leaks and costly failures.
AI Use Cases Must-Have for Pentagon’s Best Readiness 2026
AI use cases are no longer optional for the Pentagon. In the next 18 months, choosing and governing the right ones will decide whether U.S. forces enter 2026 with an AI-enabled edge—or dangerous gaps in situational awareness, logistics, and command.