cybersecurity

Open Source Intelligence (OSINT)

OSINT: data gathering from publicly available sources for intelligence purposes. Tools: social media, websites, databases. Applications: cybersecurity, law enforcement, market research. Ethical concerns: privacy, legal implications.

From the FBI to F&A: Lessons Learnt in Safeguarding Systems and Data

CISO Jill Knesek shares insights from her FBI experience applied to safeguarding financial data. She emphasizes that finance teams are vulnerable to cyber threats due to their access to sensitive data and often insufficient awareness of cyber risks. Effective cybersecurity demands a comprehensive business approach, involving training, robust financial controls, and addressing third-party risks. Communication of cyber risks in business terms is crucial for stakeholder engagement, while AI tools offer both opportunities and new threats, necessitating careful implementation. Knesek advises aspiring cybersecurity professionals to leverage diverse experiences, focusing on the human element's importance in security strategies.

https://www.computerweekly.com/opinion/From-the-FBI-to-FA-lessons-learnt-in-safeguarding-systems-and-data

Cybersecurity and AI : Towards a New Human-centered Approach

AI adoption is reshaping business and increasing risks, requiring a shift in cybersecurity to focus on human factors. Traditional security methods are insufficient as threats exploit human cognitive weaknesses. New scenarios include deepfake impersonation and misinformation. Addressing these risks involves enhancing cognitive awareness, establishing verification protocols, regulating AI use, mapping cognitive risks, and preparing response teams. A cultural shift in organizations is essential for proactive AI risk management, integrating technology with human capabilities for comprehensive cybersecurity.

https://www.rsm.global/france/en/insights/yuksel-aydin-cybersecurity-ai-human-centered-approach

A CISO’s AI Playbook

CISO AI Playbook: In a tough security budget climate, improving analyst productivity is crucial. Adopt a strategic framework focusing on throughput over headcount, leveraging AI to handle alerts efficiently. Key steps include calculating alert investigation costs, addressing analyst attention constraints, improving throughput via AI tools, ensuring transparency for trust, valuing time savings, and aligning security outcomes with business goals. AI aids in reducing investigation times and refocuses analysts on high-value tasks while balancing costs and risk mitigation for sustainable operations.

https://www.darkreading.com/vulnerabilities-threats/ciso-ai-playbook

10 Tough Cybersecurity Questions Every CISO Must Answer

CISOs face various complex challenges in cybersecurity, requiring regular reflection and strategy. Key questions include whether they enable or hinder business, how to balance security and risk, which metrics to report to the board, and understanding their organization's definition of cybersecurity. Furthermore, effective communication of risks, fostering a team environment for dissent, addressing customer security needs, mapping data locations, and adapting staff strategies with AI insights are vital. Lastly, anticipating emerging threats and ensuring the security infrastructure is fit for future demands are crucial for proactive risk management.

https://www.csoonline.com/article/4009212/10-tough-cybersecurity-questions-every-ciso-must-answer.html

CISO’s Guide to Implementing a Cybersecurity Maturity Model

CISO guide: Implement cybersecurity maturity models to effectively navigate evolving threats and compliance. These frameworks assess current capabilities, identify gaps, establish benchmarks, and prioritize investments for improvement, leading to enhanced security, better ROI, risk management, continuous progress, and compliance. Major models include NIST CSF, CMMC 2.0, CIS Controls, and C2M2. Steps for implementation: select a framework, conduct self-assessment, identify gaps and prioritize actions, and monitor improvements continuously.

https://www.techtarget.com/searchsecurity/tip/CISOs-guide-to-implementing-a-cybersecurity-maturity-model

8 Things CISOs Have Learned From Cyber Incidents

CISOs learn key lessons from cyber incidents:

  1. Share Insights: Sharing experiences from breaches enhances industry resilience and fosters community support.
  2. Shift Strategies: Incidents change CISOs' roles, requiring offensive strategies and adaptability.
  3. Develop Playbooks: A tactical response plan with clear roles is crucial for managing incidents effectively.
  4. Guard Backups: Ensure backup systems are secure and functional to prevent ransomware threats.
  5. Enhance Security: Post-incident, focus on continuous improvement and higher security standards.
  6. Stay Focused: Avoid distractions from flashy tools; prioritize core security practices.
  7. Expect Budget Fluctuations: Funding can diminish post-incident, despite heightened interest in cybersecurity.
  8. Prioritize Well-being: Mental health and stress management are vital for CISOs facing increased pressures.

https://www.csoonline.com/article/4002175/8-things-cisos-have-learnt-from-cyber-incidents.html

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