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Artificial Intelligence (AI) and AI-agents: A Game-Changer for Both Cybersecurity and Cybercrime (By Anna Collard)

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2 years ago

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Artificial Intelligence

The broader an AI’s reach through integrations and automation, the greater the potential threat of it going rogue, making robust oversight, security measures, and ethical AI governance essential in mitigating these risks

JOHANNESBURG, South Africa, March 3, 2025/APO Group/ —By Anna Collard, SVP Content Strategy & Evangelist KnowBe4 Africa (www.KnowBe4.com).

Artificial Intelligence is no longer just a tool—it is a gamechanger in our lives, our work as well as in both cybersecurity and cybercrime. While businesses leverage AI to enhance defences, cybercriminals are weaponising AI to make these attacks more scalable and convincing​.

In 2025, researchers forecast that AI agents, or autonomous AI-driven systems capable of performing complex tasks with minimal human input, are revolutionising both cyberattacks and cybersecurity defences. While AI-powered chatbots have been around for a while, AI agents go beyond simple assistants, functioning as self-learning digital operatives that plan, execute, and adapt in real time. These advancements don’t just enhance cybercriminal tactics—they may fundamentally change the cybersecurity battlefield.

How Cybercriminals Are Weaponising AI: The New Threat Landscape

AI is transforming cybercrime, making attacks more scalable, efficient, and accessible. The WEF Artificial Intelligence and Cybersecurity Report (2025)  (https://apo-opa.co/3QO7O7H) highlights how AI has democratised cyber threats, enabling attackers to automate social engineering, expand phishing campaigns, and develop AI-driven malware​. Similarly, the Orange Cyberdefense Security Navigator 2025 (https://apo-opa.co/3FfJZ6c) warns of AI-powered cyber extortion, deepfake fraud, and adversarial AI techniques. And the 2025 State of Malware Report by Malwarebytes (https://apo-opa.co/43lwZpY) notes, while GenAI has enhanced cybercrime efficiency, it hasn’t yet introduced entirely new attack methods—attackers still rely on phishing, social engineering, and cyber extortion, now amplified by AI. However, this is set to change with the rise of AI agents—autonomous AI systems capable of planning, acting, and executing complex tasks—posing major implications for the future of cybercrime.

Here is a list of common (ab)use cases of AI by cybercriminals:

AI-Generated Phishing & Social Engineering

Generative AI and large language models (LLMs) enable cybercriminals to craft more believable and sophisticated phishing emails in multiple languages—without the usual red flags like poor grammar or spelling mistakes. AI-driven spear phishing now allows criminals to personalise scams at scale, automatically adjusting messages based on a target’s online activity. AI-powered Business Email Compromise (BEC) scams are increasing, as attackers use AI-generated phishing emails sent from compromised internal accounts to enhance credibility​. AI also automates the creation of fake phishing websites, watering hole attacks and chatbot scams, which are sold as AI-powered crimeware as a service’ offerings, further lowering the barrier to entry for cybercrime​.

Deepfake-Enhanced Fraud & Impersonation

Deepfake audio and video scams are being used to impersonate business executives, co-workers or family members to manipulate victims into transferring money or revealing sensitive data. The most famous 2024 incident was UK based engineering firm Arup (https://apo-opa.co/4h56I27) that lost $25 million after one of their Hong Kong based employees was tricked by deepfake executives in a video call. Attackers are also using deepfake voice technology to impersonate distressed relatives or executives, demanding urgent financial transactions.

Cognitive Attacks

Online manipulation—as defined by Susser et al. (2018) (https://apo-opa.co/4h8qxpw) —is “at its core, hidden influence — the covert subversion of another person’s decision-making power”. AI-driven cognitive attacks are rapidly expanding the scope of online manipulation, leveraging digital platforms and state-sponsored actors increasingly use generative AI to craft hyper-realistic fake content, subtly shaping public perception while evading detection. These tactics are deployed to influence elections, spread disinformation, and erode trust in democratic institutions. Unlike conventional cyberattacks, cognitive attacks don’t just compromise systems—they manipulate minds, subtly steering behaviours and beliefs over time without the target’s awareness. The integration of AI into disinformation campaigns dramatically increases the scale and precision of these threats, making them harder to detect and counter.

The Security Risks of LLM Adoption

Beyond misuse by threat actors, business adoption of AI-chatbots and LLMs introduces their own significant security risks—especially when untested AI interfaces connect the open internet to critical backend systems or sensitive data. Poorly integrated AI systems can be exploited by adversaries and enable new attack vectors, including prompt injection, content evasion, and denial-of-service attacks. Multimodal AI expands these risks further, allowing hidden malicious commands in images or audio to manipulate outputs.

Additionally, bias within LLMs poses another challenge, as these models learn from vast datasets that may contain skewed, outdated, or harmful biases. This can lead to misleading outputs, discriminatory decision-making, or security misjudgments, potentially exacerbating vulnerabilities rather than mitigating them. As LLM adoption grows, rigorous security testing, bias auditing, and risk assessment are essential to prevent exploitation and ensure trustworthy, unbiased AI-driven decision-making.

When AI Goes Rogue: The Dangers of Autonomous Agents

The integration of AI into disinformation campaigns dramatically increases the scale and precision of these threats, making them harder to detect and counter

With AI systems now capable of self-replication, as demonstrated in a recent study (https://apo-opa.co/4i7HgdN), the risk of uncontrolled AI propagation or rogue AI—AI systems that act against the interests of their creators, users, or humanity at large – is growing. Security and AI researchers have raised concerns that these rogue systems can arise either accidentally or maliciously, particularly when autonomous AI agents are granted access to data, APIs, and external integrations. The broader an AI’s reach through integrations and automation, the greater the potential threat of it going rogue, making robust oversight, security measures, and ethical AI governance essential in mitigating these risks.

The future of AI Agents for Automation in Cybercrime

A more disruptive shift in cybercrime can and will come from AI Agents, which transform AI from a passive assistant into an autonomous actor capable of planning and executing complex attacks. Google, Amazon, Meta, Microsoft, and Salesforce are already developing Agentic AI for business use, but in the hands of cybercriminals, its implications are alarming. These AI agents can be used to autonomously scan for vulnerabilities, exploit security weaknesses, and execute cyberattacks at scale. They can also allow attackers to scrape massive amounts of personal data from social media platforms and automatically compose and send fake executive requests to employees or analyse divorce records across multiple countries to identify individuals for AI-driven romance scams, orchestrated by an AI agent. These AI-driven fraud tactics don’t just scale attacks—they make them more personalised and harder to detect. Unlike current GenAI threats, Agentic AI has the potential to automate entire cybercrime operations, significantly amplifying the risk​.

How Defenders Can Use AI & AI Agents

Organisations cannot afford to remain passive in the face of AI-driven threats and security professionals need to remain abreast of the latest development. Here are some of the opportunities in using AI to defend against AI:

AI-Powered Threat Detection and Response:

Security teams can deploy AI and AI-agents to monitor networks in real time, identify anomalies, and respond to threats faster than human analysts can. AI-driven security platforms can automatically correlate vast amounts of data to detect subtle attack patterns that might otherwise go unnoticed, create dynamic threat modelling, real-time network behaviour analysis, and deep anomaly detection​. For example, as outlined by researchers of Orange Cyber Defense (https://apo-opa.co/3FfJZ6c), AI-assisted threat detection is crucial as attackers  increasingly use “Living off the Land” (LOL) techniques that mimic normal user behaviour, making it harder for detection teams to separate real threats from benign activity. By analysing repetitive requests and unusual traffic patterns, AI-driven systems can quickly identify anomalies and trigger real-time alerts, allowing for faster defensive responses.

However, despite the potential of AI-agents, human analysts still remain critical, as their intuition and adaptability are essential for recognising nuanced attack patterns and leverage real incident and organisational insights to prioritise resources effectively.

Automated Phishing and Fraud Prevention:

AI-powered email security solutions can analyse linguistic patterns, and metadata to identify AI-generated phishing attempts before they reach employees, by analysing writing patterns and behavioural anomalies. AI can also flag unusual sender behaviour and improve detection of BEC attacks​. Similarly, detection algorithms can help verify the authenticity of communications and prevent impersonation scams. AI-powered biometric and audio analysis tools detect deepfake media by identifying voice and video inconsistencies. *However, real-time deepfake detection remains a challenge, as technology continues to evolve.

User Education & AI-Powered Security Awareness Training:

AI-powered platforms (e.g., KnowBe4’s AIDA) deliver personalised security awareness training, simulating AI-generated attacks to educate users on evolving threats, helping train employees to recognise deceptive AI-generated content​ and strengthen their individual susceptility factors and vulnerabilities.

Adversarial AI Countermeasures:

Just as cybercriminals use AI to bypass security, defenders can employ adversarial AI techniques, for example deploying deception technologies—such as AI-generated honeypots—to mislead and track attackers, as well as continuously training defensive AI models to recognise and counteract evolving attack patterns.

Using AI to Fight AI-Driven Misinformation and Scams:

AI-powered tools can detect synthetic text and deepfake misinformation, assisting fact-checking and source validation. Fraud detection models can analyse news sources, financial transactions, and AI-generated media to flag manipulation attempts​. Counter-attacks, like shown by research project Countercloud (https://apo-opa.co/3Xp1RSs) or O2 Telecoms AI agent “Daisy” (https://apo-opa.co/4h15eGp) show how AI based bots and deepfake real-time voice chatbots can be used to counter disinformation campaigns as well as scammers by engaging them in endless conversations to waste their time and reducing their ability to target real victims​.

In a future where both attackers and defenders use AI, defenders need to be aware of how adversarial AI operates and how AI can be used to defend against their attacks. In this fast-paced environment, organisations need to guard against their greatest enemy: their own complacency, while at the same time considering AI-driven security solutions thoughtfully and deliberately. Rather than rushing to adopt the next shiny AI security tool, decision makers should carefully evaluate AI-powered defences to ensure they match the sophistication of emerging AI threats. Hastily deploying AI without strategic risk assessment could introduce new vulnerabilities, making a mindful, measured approach essential in securing the future of cybersecurity.

To stay ahead in this AI-powered digital arms race, organisations should:

✅Monitor both the threat and AI landscape to stay abreast of latest developments on both sides.

✅ Train employees frequently on latest AI-driven threats, including deepfakes and AI-generated phishing.
✅ Deploy AI for proactive cyber defense, including threat intelligence and incident response.
✅ Continuously test your own AI models against adversarial attacks to ensure resilience.

Distributed by APO Group on behalf of KnowBe4

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PhotonPay Raises $40M Series C to Scale Its Stablecoin-Centric Financial OS

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2 days ago

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October 30, 2026

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Financial OS

Led by Blockchain Capital, the funding will accelerate the expansion of PhotonPay’s stablecoin-centric Financial OS, connecting stablecoin liquidity with global fiat networks to unlock digital assets for everyday corporate operations and cross-border settlement.
HONG KONG SAR – Media OutReach Newswire – 29 October 2026 – PhotonPay today announced the closing of a $40 million Series C funding round led by Blockchain Capital, with participation from new investor SBI Group and follow-on investments from existing investors IDG Capital, GL Ventures, and Lightspeed Faction. Blacksheep Technology acted as exclusive financial advisor to PhotonPay on the transaction.

 




 
 

The new capital will support the expansion of PhotonPay’s stablecoin-centric Financial Operating System (Financial OS), with investment focused on enhancing multi-asset wallet capabilities, expanding global card issuing, strengthening local clearing infrastructure in key markets, and developing an agent-ready financial execution layer.

As of August 2026, PhotonPay’s annualized transaction volume reached US$65 billion. The company has secured 34 payment and financial licenses and regulatory authorizations across the Americas, Europe and Asia, and serves over 200,000 business customers across more than 200 countries and territories.

As stablecoins move beyond crypto-native use cases into corporate treasury, settlement and commercial spending, PhotonPay sees the next phase of global finance not as a choice between stablecoins and fiat currencies, but as the convergence of both. Its Financial OS connects on-chain liquidity with the banking, clearing and card networks businesses rely on for everyday operations.

“Moving money across borders in seconds means little if it still takes days to put that capital to work,” said Lewison Chen, Founder and CEO of PhotonPay. “Stablecoins are accelerating global money movement, while local clearing and global card issuing connect that liquidity to local settlement and everyday business spending. Our Financial OS brings these capabilities together, making the underlying infrastructure far less visible to businesses, even as it becomes more essential than ever.”

“At the same time, business software is becoming increasingly autonomous,” Chen added. “AI is shifting financial workflows from people manually operating fragmented tools toward systems that understand business intent and coordinate execution across assets, accounts and financial rails. That creates the foundation for agentic commerce. Stablecoins change how money moves. AI changes how it gets put to work. But commerce is still what money is for.”

Moving Money Across Assets and Markets

PhotonPay’s Financial OS brings together multi-asset wallets, global money movement, foreign exchange, local clearing, and global card issuing through an integrated API-first architecture. This unified system gives businesses access to the financial capabilities they need to manage and deploy funds across markets.

Stablecoins sit at the core of this architecture. PhotonPay’s multi-asset wallet connects stablecoin liquidity with fiat balances, integrating asset conversion, foreign exchange, and local clearing into a single connected workflow. This enables businesses to move funds across supported on-chain and traditional financial networks, turning digital asset liquidity into purchasing power for local payments and everyday corporate spending.

Supporting this dual-rail infrastructure is PhotonPay’s established global financial network. Businesses can open local collection accounts in 17 key markets and receive funds in more than 60 currencies. On the payout side, the network supports over 100 payment routes across local clearing systems, bank transfers, and digital wallets, including payouts to 74 major local e-wallets. Approximately 97% of payout transactions reach recipients within hours or on the same day, with 68% arriving in real time.

Global card issuing extends these capabilities into programmable business spending. Through PhotonPay’s APIs, businesses and platforms can issue virtual and physical cards, configure granular spending controls, and embed card payments directly into their software and automated workflows. Over the past 12 months, PhotonPay issued 4.4 million cards, up 275% YoY.

Beyond its first-party payment solutions, PhotonPay makes its infrastructure available through embedded finance, enabling technology platforms to natively integrate global accounts, payments, and card issuing into their own products. The company now serves more than 100 enterprise and platform partners, extending the reach of its Financial OS into industry-specific workflows.

From Financial Intent to Agentic Commerce

As AI agents assume active operational roles, financial infrastructure must evolve beyond API access to enable programmable, policy-governed execution. It requires systems capable of translating high-level instructions into coordinated financial actions, with deterministic controls governing how those actions are executed.

In May 2026, PhotonPay and Mastercard completed a live agentic payment demonstration using a tokenized PhotonPay card, validating AI-initiated transactions across existing global card networks.

Building on this milestone, PhotonPay is developing standardized financial interfaces designed for developers and AI agents. With planned support for the Model Context Protocol (MCP), PhotonPay aims to make account information, balances, card functions, and payments accessible as composable financial primitives, allowing AI agents to securely retrieve context and initiate financial workflows within defined authorization boundaries.

To govern this agent-ready layer, PhotonPay is developing a policy-based execution framework designed to enforce programmable authorization rules, spending limits, and transaction-level controls. The framework is intended to enable AI agents to coordinate financial tasks across supported accounts and assets, while ensuring that execution remains subject to explicit, enforceable policies set by businesses.

PhotonPay is also advancing its AI-assisted risk review capabilities, designed to identify complex cases for human assessment. Together, these initiatives reflect a foundational principle of autonomous finance: AI may interpret intent and coordinate tasks, but financial execution must remain governed by verifiable authorization, deterministic controls, and auditable records.

“Connecting financial networks is only the beginning. The real breakthrough is abstracting that complexity behind a unified, programmable financial layer, so businesses and AI agents can move from intent to execution within clearly defined boundaries,” said Chen.

Simple on the Surface, Deep by Design

The promise of a Financial OS is simplicity: enabling businesses to manage assets, route money, and execute payments through a unified financial operating layer. Yet delivering that simplicity requires deep financial infrastructure beneath the surface.

While stablecoins accelerate borderless value transfer, turning that liquidity into local settlement, supplier payments, and corporate spending still depends on established banking relationships, domestic clearing rails, foreign exchange infrastructure, and global card networks. Each market brings its own regulatory and operational requirements.

For PhotonPay, building a Financial OS means abstracting these fragmented global networks into a programmable, interconnected financial system. The objective is not to eliminate financial complexity, but to manage it within the underlying infrastructure, so businesses can operate without having to navigate these systems themselves.

“AI can simplify how businesses interact with financial services, but it cannot replace the infrastructure required to deliver them,” said JP Pi, Chief Compliance Officer at PhotonPay. “Establishing local financial capabilities takes years of investment, institutional partnerships, and regulatory engagement. Software or AI models alone cannot replicate that depth. The simplicity businesses experience is the result of that heavy lifting, not a substitute for it.”

PhotonPay has engineered a financial foundation spanning both stablecoin and fiat rails, connecting multi-asset conversion with local clearing networks. Institutional partnerships with J.P. Morgan, Standard Chartered, and DBS, alongside connections to domestic payment systems such as Brazil’s Pix and Mexico’s SPEI, form the backbone of this network.

The new capital will enable PhotonPay to strengthen its local clearing and compliance infrastructure in existing markets while expanding into new jurisdictions, scaling the reach of its Financial OS across corporate spending, embedded finance, and agentic commerce.

“Businesses want one provider that can handle their payments across currencies and markets, whether they’re using bank transfers, stablecoins or cards. Lewison and his team have spent a decade building the banking relationships, licenses and local payment infrastructure to deliver that. We believe PhotonPay’s ability to bring these capabilities together gives it a strong advantage as businesses adopt stablecoins for everyday payments.” – BCAP，Yuanhan Li，Partner

“As stablecoins become increasingly integrated into global payment systems, bridging digital assets with traditional financial infrastructure will be essential to unlocking their real-world potential. PhotonPay’s established global payment network and its vision for a stablecoin-centric Financial OS align closely with SBI Group’s strategy to advance digital financial infrastructure and expand the practical adoption of digital assets. We look forward to supporting PhotonPay’s continued growth and exploring opportunities for strategic collaboration across the SBI Group ecosystem.” – Eiichiro So, CEO & Managing Director of SBI Ven Capital
 




 

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Hainan economic, trade delegation visits Hong Kong for investment promotion, 2 cooperation memoranda signed

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2 days ago

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October 30, 2026

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Hong Kong

HONG KONG SAR – Media OutReach Newswire – 29 October 2026 – From October 19 to 20, an economic and trade delegation from Hainan Province paid a visit to Hong Kong. The delegation signed memoranda of cooperation respectively withThe Chinese Manufacturers’ Association of Hong Kong (CMA)and the Federation of Hong Kong Industries (FHKI) to advance pragmatic cross-border collaboration between Hainan and Hong Kong in trade and investment, manufacturing industrial chains and professional services.

 




 
 

During its stay in Hong Kong, the delegation visited the CCPIT Representative Office in Hong Kong. It held discussions with CMA and co-hosted the Hainan Free Trade Port (Hong Kong) Economic and Trade Cooperation Exchange Meeting with FHKI. The event showcased the policies, key industrial layout and investment opportunities of the Hainan Free Trade Port (FTP), and arranged one-on-one business matchmaking between Hainan and Hong Kong enterprises.

Wang Yuyuan, Vice President of the China Council for the Promotion of International Trade Hainan Sub-council (CCPIT Hainan) and China Chamber of International Commerce Hainan Chamber of Commerce, noted that since the official launch of island-wide special customs operations at the Hainan FTP on December 18, 2025, 174,000 new enterprises have been registered, representing a year-on-year surge of 95.9 percent. Newly established foreign-invested enterprises rose by 35.8 percent year on year. In the first half of this year, inbound and outbound tourist arrivals exceeded 70 million, up 28 percent year on year, with the number of visa-free entry countries expanding to 88. From January to August, the province’s total goods import and export volume hit 250 billion yuan, growing by 61.5 percent year on year. Hainan is rapidly emerging as a critical gateway connecting China with the rest of the world and a prime channel for two-way investment.

According to CCPIT Hainan, Hong Kong ranks as a major source of foreign investment for Hainan. In the first half of this year, Hainan registered 1,303 new foreign-invested enterprises, an increase of 38.62 percent year on year, with Hong Kong-funded enterprises accounting for the lion’s share. Hainan has issued offshore RMB local government bonds in Hong Kong for four consecutive years, with a cumulative issuance volume reaching 18 billion yuan.

CMA is one of Hong Kong’s most representative non-profit industrial and commercial bodies, with around 3,000 member enterprises. It has long provided members with business services including exhibitions, brand promotion, testing and certification. FHKI, one of Hong Kong’s four major chambers of commerce, has approximately 2,000 corporate members. It focuses on boosting the sustained development of Hong Kong industry and manufacturing through policy advocacy, business matchmaking, certification services and youth talent cultivation.

The two memoranda explicitly stipulate that the two sides will establish a regular liaison mechanism, build a long-term cooperation platform covering information sharing, business matchmaking, exhibition collaboration and professional services, and provide solid support for pragmatic business cooperation between Hainan and Hong Kong enterprises.

Source: China Council for the Promotion of International Trade Hainan Provincial Committee (CCPIT Hainan)

 
 




 

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Africa gains governance momentum in the 2026 Chandler Good Government Index, but sustaining progress is the real test

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3 days ago

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October 29, 2026

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Africa

Across Africa, average scores improved in six of the seven CGGI pillars over the past year, with the strongest gains in Helping People Rise and Financial Stewardship

This signals that stronger government capabilities are beginning to translate into tangible improvements in people’s lives

KIGALI, Rwanda, October 29, 2026/APO Group/ –Africa was the second best-performing region for governance progress in the 2026 Chandler Good Government Index (CGGI), with 71% of the African countries assessed in both 2025 and 2026 achieving higher overall scores. However, the continent remains the lowest-scoring region overall, highlighting the challenge of translating improvement in government capabilities into better outcomes for citizens.

 




 
 

These findings were highlighted by the Chandler Governance Group (CGG) at a joint session with the Rwanda Governance Board (RGB) to launch the 13th edition of the Rwanda Governance Scorecard at the Kigali Serena Hotel on Thursday, 22 October 2026.

“This year, Africa’s strongest gains came in Financial Stewardship, followed by Helping People Rise, the CGGI’s outcomes pillar. This signals that stronger government capabilities are beginning to translate into tangible improvements in people’s lives, from access to quality education and healthcare to the public finances that fund them. The task now is to sustain that progress over the coming years,” says Dinesh Naidu, Director (Knowledge) at CGG.

Now in its sixth edition, the CGGI assesses government capabilities and effectiveness across 133 countries representing 94% of the world’s population, up from 120 countries in 2025. It measures 35 equally weighted indicators across seven pillars, providing governments with a framework to benchmark performance, identify gaps and learn from the experience of other countries.

Globally, the findings point to improving governance performance. Of the 120 countries assessed in both 2025 and 2026, 61% recorded higher scores, representing the highest annual share of countries improving since the Index launched in 2021. However, longer-term progress has been less consistent, with only 43% of the 104 countries tracked since 2021 recording an overall improvement.

Africa’s leading governments

Mauritius remains Africa’s highest-ranked country, placing 55th globally, followed by Rwanda (62nd), Botswana (70th), Morocco (79th) and Tanzania (80th). South Africa ranks sixth on the continent, in 85th place globally.

Rwanda features prominently in the discussion, ranking 11th globally for Leadership & Foresight and emerging as the highest-ranked low-income country in the Index. It ranks 61 places above where its income alone would predict. Across the Index, government capabilities track citizen outcomes more closely than national wealth does, suggesting that strengthening government capabilities matter in delivering better outcomes for citizens.

The joint session brings together the CGGI’s international benchmarks and the Rwanda Governance Scorecard’s assessment of governance in the Rwandan context, creating an opportunity to consider both global perspectives and country-specific priorities.

Progress across key governance pillars

Across Africa, average scores improved in six of the seven CGGI pillars over the past year, with the strongest gains in Helping People Rise and Financial Stewardship. These improvements point to progress in areas associated with public services, including healthcare and education, as well as the management of public finances.

Longer-term trends also highlight areas of progress. Between 2021 and 2026, nearly every African country assessed across the period improved its Data Capability score, with Morocco recording the largest gains. Ghana’s overall score improved in 2026, supported by stronger Financial Stewardship, while South Africa continues to show relative strength in Robust Laws & Policies, ranking 44th globally, and Attractive Marketplace, ranking 48th.

Despite these gains, the scale of the challenge remains clear. Africa’s regional average is still below its 2021 level, 23 of the 35 African countries in the 2026 Index rank outside the global top 100, and none is in the top 50. Seven African countries joined the Index this year: Chad, the Democratic Republic of Congo, Gambia, Guinea, Lesotho, Liberia and Togo.

“Rankings provide a useful starting point, but the broader value of the CGGI lies in helping governments understand where they are making progress and where further work is needed. Sustained improvements depend on the ability to strengthen institutions, manage resources responsibly and turn policy into meaningful outcomes for citizens,” says Naidu.

A tool for learning and improvement

The CGGI is designed as a practical diagnostic tool, helping governments identify gaps, track progress over time, and learn from peers facing similar constraints. The collaboration with the RGB brings international benchmarking together with locally grounded assessment.

“Every country faces its own governance challenges and is driven by varying priorities. Governments that are willing to take stock of the evidence and learn from peers to strengthen their institutions are well placed to achieve real improvements,” concludes Naidu.

Distributed by APO Group on behalf of Chandler Governance Group.

 

 




 

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