risk management

The AI Shift in Cyber Risk: Why Leaders Must Act Now

By / Blog / , , , ,

The Five Eyes cyber security agencies warn that rapid advancements in AI are transforming cyber risks by increasing the speed, scale, and complexity of attacks. They urge organizational leaders to prioritize foundational cyber security practices like reducing attack surfaces, accelerating patching, addressing legacy systems, strengthening access controls, and preparing incident response plans. Integrating AI into defensive strategies is essential, but cyber resilience must be embedded in core business operations to maintain continuity and market trust amid evolving threats.

https://www.ncsc.gov.uk/news/the-ai-shift-in-cyber-risk-why-leaders-must-act-now

Stop Your Legacy Infrastructure From Hijacking Your AI Agents

By / Blog / ,

Enterprises deploying AI agents risk compromise when attackers exploit vulnerabilities in legacy infrastructure that these agents depend on, such as unpatched servers, misconfigured Active Directory permissions, and excessive cloud access privileges. Security programs must adopt an exposure management approach that maps and secures the entire attack path—from network and identity layers through cloud infrastructure to AI agent resources—to prevent attackers from leveraging inherited permissions and legacy exposures to hijack AI agents.

https://thehackernews.com/2026/06/stop-your-legacy-infrastructure-from.html

Risk Management Systems Should Be Constantly Evolving, FDA Official Says

By / Blog / ,

FDA official Keisha Thomas emphasized at the RAPS Quality Conference that medical device risk management systems must be dynamic and continuously evolving to address firm-specific risks across all quality management system (QMS) areas. The FDA's new risk-based inspection program under the Quality Management System Regulation (QMSR) focuses on comprehensive compliance rather than conformity, highlighting common citations related to insufficient integration of risk management into decision-making and a decoupling of corrective and preventive actions. The agency also indicated that firms participating in the Medical Device Single Audit Program (MDSAP) may still face FDA inspections if risk signals warrant additional oversight.

https://www.raps.org/resource/risk-management-systems-should-be-constantly-evolving-fda-official-says.html

Gartner Security Summit 2026: Huntress 5 Key Takeaways

By / Blog / , , , , ,

At the Gartner Security & Risk Management Summit 2026, the key insight emphasized was that effective security is an ongoing journey focused on resilience, honest risk assessment, and rapid recovery rather than chasing every emerging trend or technology. Organizations succeeding in the evolving threat landscape prioritize building a strong foundation in identity management, control effectiveness, and operational reality to enhance their ability to withstand and respond to incidents. This pragmatic approach highlights that security is a continuous process centered on adaptability and resilience in the face of challenges, especially with the rise of AI-driven threats.

https://www.huntress.com/blog/key-takeaways-gartner-security-risk-summit

CIOs: Tear Down the Wall Between Resilience and Data Security

By / Blog / , , , ,

AI is exposing the longstanding separation between organizational resilience—focused on system uptime—and data security—focused on protecting information—as no longer sustainable. CIOs are urged to integrate these functions by inventorying and governing unstructured data, automating compliance controls to keep pace with AI-driven threats, and establishing clear audit trails for AI agent actions to meet regulatory demands. This unified approach is essential for enabling enterprise innovation while maintaining trusted data and system recoverability in the evolving AI risk landscape.

https://www.cio.com/article/4179381/cios-tear-down-the-wall-between-resilience-and-data-security.html

The AI Deployment Gap and How to Close It

By / Blog / , , ,

Many organizations are experiencing widespread, bottom-up adoption of AI tools by employees across functions without formal leadership guidance, creating what Alvarez & Marsal terms an “AI deployment gap”—the challenge of transforming spontaneous individual use into deliberate, scalable, and governed organizational deployment. This unmanaged uptake poses risks such as security vulnerabilities and operational inefficiencies, while also representing untapped value potential; closing this gap requires identifying AI pioneers within the organization and fostering a coordinated approach that balances governance with agile scaling to embed AI into core operating models effectively.

https://www.alvarezandmarsal.com/thought-leadership/the-ai-deployment-gap-and-how-to-close-it

Why Your Most AI-savvy Employees Are Driving Shadow AI

By / Blog / , , ,

Employees most knowledgeable about AI often engage in using unauthorized AI tools at work to increase speed and overcome limitations of official systems, creating shadow AI challenges for CIOs. To manage this, organizations are rethinking governance and training strategies to balance encouraging experimentation with protecting data and maintaining oversight, emphasizing hands-on education that addresses technical, ethical, and security aspects while adapting AI tools to meet employee needs.

https://www.cio.com/article/4178359/why-your-most-ai-savvy-employees-are-driving-shadow-ai.html

Shadow AI Is Exposing the Same Failures Teams Have Ignored For Years

By / Blog / , , ,

The rapid adoption of AI tools like ChatGPT and Microsoft Copilot in enterprises is outpacing cybersecurity teams’ ability to establish effective governance controls, exposing longstanding failures in how organizations implement security policies around operational workflows. Shadow AI—employees’ use of unauthorized AI tools to enhance productivity—highlights that restrictive policies alone are insufficient; sustainable governance requires aligning controls with actual work practices, providing approved, usable alternatives, and adopting a risk-based, ongoing operational approach rather than one-time policy enforcement. This shift is critical to managing AI-related risks without driving usage further outside organizational visibility.

https://www.infosecurity-magazine.com/opinions/shadow-ai-is-exposing-governance/

Cybercriminals: the ‘Auditors’ You Never Hired

By / Blog / ,

The article highlights the pervasive normalcy bias in cybersecurity, where organizations underestimate the risk of breaches by assuming no news means no problem. It stresses that without proactive auditing and continuous security testing, cybercriminals effectively become the unintended ‘auditors,' exploiting gaps between perceived and actual security, leading to escalating incidents despite increased awareness. To counteract this, enterprises must actively evolve their cyber resilience strategies, incorporating ongoing threat assessments, advanced detection services, and secure practices before breaches occur.

https://www.welivesecurity.com/en/business-security/cybercriminals-auditors-never-hired/

Patch Smarter, Not Harder

By / Blog / ,

CISA emphasizes a strategic shift in vulnerability management, advocating for patching based on prioritized risk rather than attempting to fix all vulnerabilities equally amid accelerating AI-driven exploit discovery. Their Binding Operational Directive 26-04 establishes a framework focusing rapid patching efforts on critical vulnerabilities that are publicly exposed, easily automated for exploitation, allow full system control, and show evidence of real-world attacks, while lower-risk issues can be deferred or addressed through alternative security controls. This approach aims to improve remediation efficiency and address the most significant threats promptly, enhancing federal cybersecurity resilience.

https://www.cisa.gov/news-events/news/patch-smarter-not-harder

Scroll to Top