GRC stories
Existing customers can now govern AI agents more tightly, as Cequence links model, API and tool access to role-based policy controls.
Employers are competing for finance chiefs who can judge AI risks and explain data models, as only a small pool can lead implementations.
Financial institutions still face hidden fourth-party risks even after Microsoft, Google Cloud, AWS and Oracle were designated as critical providers.
Most finance chiefs still lack a clear AI plan as poor data quality and governance delay automation across North American finance teams.
Security and resilience are driving more enterprises to route sensitive cloud traffic over private links as cyber risks and DDoS attacks rise.
A survey found 98% of breached firms suffered material damage as AI-driven attacks and visibility gaps strain defences.
The service targets firms struggling to monitor autonomous AI agents, as enterprises face wider security, compliance and cost risks.
Phishing-resistant logins could curb account takeovers that let criminals tamper with tax data, refunds and audit trails across firms.
Finance chiefs are facing tighter budgets as AI automation and new AML rules turn once-discretionary tech spend into a cost imperative.
Enterprise buyers are demanding tighter controls as AI tools move into live systems, with governance now central to deployment decisions.
Many AI agents can already reach far more sensitive corporate data than staff, prompting Bedrock Data to add real-time access controls.
Enterprise security teams face fresh oversight burdens as Reco joins OpenAI's partner network to monitor agent access and permissions.
Enterprises running AI on specialised hardware could gain better control and security as the firms target a visibility gap in runtime operations.
Funding will help the Sunnyvale cybersecurity firm expand its platform as businesses struggle to turn overflowing alerts into faster remediation.
Most firms are still unprepared for AI scrutiny, with a Schellman survey finding governance programmes lag far behind audit confidence.
The move could reshape enterprise AI security as vendors and regulators demand stronger controls around access, logging and containment.
The deal aims to give security teams faster detection of post-authentication attacks as AI agents and machine identities multiply across cloud systems.
Security teams face fresh blind spots as AI-built apps and traditional code pipelines increasingly expose company data and cloud systems.
Their work has become more strategic as cyber security, AI and tighter budgets put extra pressure on the teams keeping systems running.
As scrutiny intensifies, the AI tool is helping firms spot billing and compliance errors sooner, reducing fines, remediation costs and customer harm.
