Empowering NGO Humanitarian Access and Security with AI

“In humanitarian contexts, we could consider an extension of the “society-in-the-loop” algorithm concept – embedding the general will into an algorithmic social contract – where both humanitarian responders and affected populations understand and oversee algorithmic decision-making that affect them.” - Nathaniel Raymond, founding director of the Signal Program on Human Security and Technology at the Harvard Humanitarian Initiative

Introduction

Non-Governmental Organizations (NGOs) occupy a pivotal role in delivering humanitarian aid and crisis response across the globe. However, these endeavors often unfold in diverse and hazardous environments, demanding rigorous security management. The emergence of Artificial Intelligence (AI) heralds a transformative opportunity to fortify security measures and streamline humanitarian access, ultimately enhancing the operational efficacy of NGOs.

AI in Security Threat Monitoring

Case Study: Crisis24

Crisis24, an AI-driven system, serves as a compelling illustration of AI's potential to bolster security management in the NGO landscape. This dynamic platform adeptly surveils online news portals, social media, and email alerts from security organizations, offering real-time alerts, incisive analysis, and expert guidance on global security risks and threats. Merging AI with human expertise, Crisis24 diligently verifies information from a multitude of sources, thus delivering tailor-made security solutions for NGOs operating in high-risk terrains. This heralds a transformative shift, empowering NGOs to proactively navigate evolving security challenges.

AI in Fact-Checking

Case Study: Dataminr

In a data-saturated digital landscape, the need for robust fact-checking mechanisms is paramount. Dataminr, an AI-powered platform, responds to this need by detecting and delivering real-time alerts concerning high-impact events and emerging risks. By harnessing the prowess of natural language processing and machine learning, Dataminr adeptly discerns signals and patterns amidst the deluge of data. This invaluable capability assists NGOs in sifting through information efficiently, thus facilitating informed and timely decision-making.

AI-Generated Security Alerts

Case Study: AlertMedia

The creation of security alerts laden with tailored advisories is pivotal for NGOs. AlertMedia, a cloud-based emergency communication system, empowers organizations to disseminate critical alerts through diverse channels, spanning from email to mobile apps. This system seamlessly integrates real-time threat intelligence drawn from a wide array of sources, thereby amplifying situational awareness. NGOs can craft bespoke alert scenarios, ensuring that the right message reaches the right individuals at the right juncture.

AI Balancing User Authentication and Security

Case Study: Okta Adaptive MFA

The conundrum of ensuring secure user authentication while preserving user experience is particularly salient for NGOs. Okta Adaptive MFA harnesses machine learning to assess login attempts through a multifaceted lens, encompassing considerations such as device, location, network, and user behavior. By prompting users for supplementary verification solely when deemed necessary, Okta Adaptive MFA artfully streamlines security protocols without impinging upon user experience.

AI in Proactive Threat Prevention

Case Study: Fortinet FortiGuard Labs AI Platform

Preventing malicious activities like phishing and malware constitutes a paramount concern. The Fortinet FortiGuard Labs AI Platform harnesses the power of artificial intelligence to intercept and neutralize cyberattacks in real time. Deploying deep learning models to scrutinize network traffic, this platform can promptly identify nascent strains of malware before they compromise systems. This translates into proactive protection for NGOs and their digital assets against the ever-evolving backdrop of cyber threats.

AI Empowering Security Teams

Case Study: IBM Watson for Cybersecurity

Enhancing the efficiency of security teams looms as a foremost priority for NGOs. AI-driven solutions like IBM Watson for Cybersecurity extend a helping hand to security analysts in their pursuit of more effective threat investigation. These systems possess the capacity to unravel unstructured data gleaned from a myriad of sources, encompassing blogs, news articles, and research reports. The result is a plethora of relevant insights and recommendations that galvanize security teams into swifter and more comprehensive responses to potential threats.

AI in Autonomous Threat Response

Case Study: Darktrace

In the dynamic realm of cybersecurity, autonomous threat response assumes paramount significance. Darktrace, a self-learning cybersecurity solution, harnesses the potent capabilities of AI to decipher a network's normative behavior. Any deviations or anomalies that could signify a cyberattack are detected and acted upon autonomously by Darktrace, averting potential damage before it materializes. This empowers NGOs to fortify the security of their digital infrastructure with minimal human intervention.

AI in Inter-NGO Collaboration

Beyond these specialized systems, several platforms are crafted to facilitate information exchange between NGOs. Collaboration emerges as the cornerstone of collective security in the context of complex crises and security scenarios. These platforms amalgamate data from a spectrum of sources and offer a seamless means for NGOs to share information, thereby reinforcing the security network.

Conclusion

AI is a transformative force for NGOs, offering innovative solutions to bolster humanitarian access and security management. Real-world systems and case studies highlight its potential to enhance security, streamline operations, and ensure the well-being of personnel and beneficiaries. NGOs can leverage AI for identifying security threats, information verification, and effective alert management.

Embracing AI strikes a balance between security and user experience, fortifying operations without disruption. It enables proactive threat prevention and autonomous response, securing the digital realm.

In a world rife with security challenges, AI fosters inter-NGO collaboration through data consolidation and seamless information sharing. It offers a beacon of hope for NGOs addressing humanitarian crises, paving the way for a safer, more efficient, and secure humanitarian landscape.

The transformative power of AI is a giant stride towards a safer world. As we serve the vulnerable and work for a better world, let us seize this opportunity for the greater good. Together, we can create a secure and compassionate world.

Sources:

(1) How Artificial Intelligence (AI) Can Help With Cybersecurity Threats .... https://www.fortinet.com/resources/cyberglossary/artificial-intelligence-in-cybersecurity .

(2) 4 ways AI can help us enter a new age of cybersecurity. https://www.weforum.org/agenda/2021/06/4-ways-ai-new-age-of-cybersecurity/ .

(3) How AI Is Disrupting And Transforming The Cybersecurity Landscape - Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/03/15/how-ai-is-disrupting-and-transforming-the-cybersecurity-landscape/ .

(4) AI and Cybersecurity: Enhancing Security with Artificial ... - Medium. https://medium.com/aimonks/ai-and-cybersecurity-enhancing-security-with-artificial-intelligence-5a8ca7081ac6 .

(5) Artificial Intelligence: The Future Of Cybersecurity? - Forbes. https://www.forbes.com/sites/forbesbusinesscouncil/2021/09/23/artificial-intelligence-the-future-of-cybersecurity/ .

(6) International NGO Safety Organisation (INSO) | Analysis & Advice for .... https://ngosafety.org/ .

(7) The Crucial Need for Cyber Security in Nonprofits. https://terranovasecurity.com/cyber-security-in-nonprofits/ .

(8) Soros-backed NGO twist to Apple alert row - Republic World. https://www.republicworld.com/politics/apple-alerts-sent-from-soros-linked-ngo-hints-economist-sanjeev-sanyal.news .