Security
According to the Workforce Password Security Status Report released by Zoho on Tuesday, enterprises have high confidence in AI's ability to improve cybersecurity, but actual deployment readiness is severely lacking. The report indicates that 90% of respondents believe AI can strengthen network defenses, yet only 8% say they are currently prepared to deploy AI-driven security tools. Meanwhile, a large number of enterprises still show significant shortcomings in foundational security practices such as identity management and zero-trust networks.
The AI Standards and Innovation Center (CAISI) under the US National Institute of Standards and Technology (NIST) announced agreements with Google DeepMind, Microsoft, and xAI to conduct safety assessments on their frontier AI models before public release and to provide continuous monitoring after deployment. This move expands on previous collaborations with OpenAI and Anthropic, aiming to address national security risks posed by AI. Analysts note that this marks a consideration of "sovereign alignment" factors when enterprises procure AI.
With the rapid adoption of agentic AI, 74% of organizations plan to deploy it within two years (Deloitte), and 84% of knowledge workers expect its adoption (EY). Agentic browsers transform from passive tools into active agents, but security research has already identified multiple vulnerabilities. Risks include prompt injection hijacking, data leakage, accountability gaps, business risks, and shadow AI. Enterprises should achieve security governance through enterprise browsers with built-in DLP, identity, and runtime security (such as Prisma Browser), rather than simply banning them.
Data security does not end with device retirement; rather, risks escalate at the end of the lifecycle. Under strict scrutiny from frameworks such as NIST 800-88 and HIPAA, multiple handoffs in third-party destruction models are becoming a liability. This article analyzes why CIOs are bringing data destruction in-house and how this shift turns compliance pressure into a governance advantage.
Governments of six countries, including Australia and the United States, jointly released guidelines for the safe deployment of agentic AI, emphasizing prudent adoption, risk management, and human oversight.
In its fiscal 2026 third-quarter earnings report, Microsoft disclosed that its AI business annualized revenue grew 123% year-over-year to over $37 billion, with Microsoft 365 Copilot paid seats exceeding 20 million. The company plans capital expenditures of over $40 billion next quarter and updated its partnership terms with OpenAI, while OpenAI announced it would bring its models to AWS. Analysts advise CIOs to choose cloud vendors flexibly based on specific use cases.