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September 4, 2022

The Cyber Security Shortages Holding Back Numerous Countries

Many emerging markets in the Global South suffer from ineffective cyber legislation and crippling skill shortages. Learn how these markets need protection.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
David Masson
VP, Field CISO
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04
Sep 2022

As a flurry of tech startup investment driven by the pandemic tailed off in the second quarter of 2022, funding for startups fell globally by 23%, the largest drop in over a decade. In Africa, however, that funding doubled over the same period. The continent has seen a wave of venture capital from within and without, and increasing numbers of ‘unicorns’ – startups valued at over $1 billion. 

For investors, the continent is steadily becoming a safer bet, but certain concerns remain, not least of which is the cyber-reliance of many African nations and businesses. A 2021 report by Interpol suggests that the continent’s GDP is reduced by up to 10% (equivalent to $4.12 billion in 2021) by cybercrime alone. If emerging markets like Nigeria, South Africa, and Kenya are to continue drawing investment, they’ll need to match business innovation with more effective security measures.

The Cost of a Continental Skill Shortage

Cyber skill shortages remain an issue in many Global South markets, meaning the impact of common threats is effectively magnified when they hit organizations in these nations. Having the expertise on hand to reduce time-to-response and take decisive, effective remediation action can be the difference between a bullet point on a threat report and a fully-fledged attack.

Many cyber professionals will think of WannaCry, a ransomware attack which affected over 200,000 devices in 2017, as a threat of the past, its relevance consigned to the months after its first appearance. For countries in Latin America and the Caribbean, however, it remains a prevalent and punishing tool, and continues to target thousands of systems: the highest number of WannaCry attacks are consistently seen in Brazil, Ecuador, and Chile. Why is so much damage still being wrought by a ransomware strain which was largely thrown into obsolescence in the Global North years ago? Think tanks like the RUSI attribute it to a lack of IT professionals and the slow uptake of new security standards in regions which are otherwise enjoying rapid digitalization. 

The discordance between internet penetration rates and cyber security capabilities is even more pronounced in Africa. An estimate made in 2018 suggested that there were only 7,000 certified security professionals in the continent, one for every 177,000 people. In the US, comparatively, the figure was one for every 330 people. Even adjusting for Africa’s reduced internet penetration rate, the figure remains one professional for every 45,140 internet users. 

The result of this is that 9 in every 10 African businesses are said to operate without necessary cyber security protocols in place. If the continent continues to draw investment without making big strides in its cyber security measures, its rapidly growing base of potential victims (Africa’s internet using population numbers over 650 million, massively outstripping North America’s 350 million) will draw increasing numbers of cyber-attacks.

Attackers Destabilize the Market

There is already evidence that attackers are beginning to take notice. Interpol cites a report claiming that in the first months of 2021, African organizations saw the highest increase in ransomware attacks of any region. But it is the efficacy, rather than frequency, of attacks on Global South nations which will be most concerning to investors seeking stability. 

Last year in South Africa, several major trade ports were brought to a halt by a ransomware attack on Transnet and, just a few months later, the country’s justice department was brought down in a similar attack. In Costa Rica earlier this year, the ransomware group Conti successfully locked down several government systems and threatened to overthrow the presiding government if ransom payments were not made, leading President Chaves to declare a national state of emergency. Organizations operating critical national infrastructure are particularly attractive to attackers, as the disruption caused by their downtime makes it easier to extort a generous ransom. These attacks are also high-profile, often internationally so. 

High-profile attacks can greatly affect the confidence of investors and potential business partners. A KPMG report on cyber risks in emerging markets explains: “Those suppliers handling confidential third-party data in emerging markets that are able to demonstrate strong security posture around that data are likely to be more attractive and potentially able to win more business.” Organizations in countries with generally weaker cyber security practices should be looking at tools to put the concerns of potential partners and investors at ease. Ideally these should be AI-driven tools which not only stop old, known threats, but also those headline-grabbing novel attacks and zero days.

Protecting Progress

Many Global South governments are now taking steps to address cybercrime concerns, and bring legislation up to global standards. Last year, South Africa’s President Cyril Ramaphosa signed the Cybercrimes and Cybersecurity Act, placing new breach reporting responsibilities on organizations. Similar acts were passed in nations such as Zambia and Ecuador the same year.

International cooperation on the issue of cyber security is also more common: the Convention on Cyber-security and Personal Data Protection adopted by the African Union's 55 member states in 2014 has now been ratified by thirteen nations, while in July of this year, delegates from Bangladesh, Bhutan, India, Myanmar, Nepal, Sri Lanka, and Thailand gathered for the inaugural BIMSTEC (Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation) meeting on cyber security cooperation

These are important steps, but legislation and discussion will do little if organizations do not take action in their wake. As we stressed in our recent blog on modern cyber warfare, the involvement of the private sector in government directives is crucial to tackling widespread cyber threats. Togo’s Minister of Digital Economy stressed this fact when he announced the new African Centre for Coordination and Research in Cybersecurity last month: “Our partnership model with the private sector is an innovative approach that we want to showcase to inspire other countries for safer cyberspace on the continent.”

For emerging markets to thrive globally, the organizations within them need to recognize the growing target on their backs, and protect themselves and their data from increasing numbers of sophisticated cyber-attacks. Addressing crippling skill shortages may seem like a long-term – even generational – plan, but with the right tools it can be done almost immediately. AI solutions like Darktrace can autonomously prevent, detect, and respond to attacks, buying back hours for security professionals, and augmenting the ability of small teams to tackle numerous complex threats simultaneously. Darktrace PREVENT preempts attackers and continuously hardens defenses, ensuring that organizations are prepared for novel threats, rather than falling victim to old ransomware strains.

The economic significance of cyber resilience has become undeniable. With proper security investment, emerging markets and Global South nations can hold onto the billions being lost to cyber-attack costs, and continue to focus on business growth and innovation.

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
David Masson
VP, Field CISO

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December 22, 2025

The Year Ahead: AI Cybersecurity Trends to Watch in 2026

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Introduction: 2026 cyber trends

Each year, we ask some of our experts to step back from the day-to-day pace of incidents, vulnerabilities, and headlines to reflect on the forces reshaping the threat landscape. The goal is simple:  to identify and share the trends we believe will matter most in the year ahead, based on the real-world challenges our customers are facing, the technology and issues our R&D teams are exploring, and our observations of how both attackers and defenders are adapting.  

In 2025, we saw generative AI and early agentic systems moving from limited pilots into more widespread adoption across enterprises. Generative AI tools became embedded in SaaS products and enterprise workflows we rely on every day, AI agents gained more access to data and systems, and we saw glimpses of how threat actors can manipulate commercial AI models for attacks. At the same time, expanding cloud and SaaS ecosystems and the increasing use of automation continued to stretch traditional security assumptions.

Looking ahead to 2026, we’re already seeing the security of AI models, agents, and the identities that power them becoming a key point of tension – and opportunity -- for both attackers and defenders. Long-standing challenges and risks such as identity, trust, data integrity, and human decision-making will not disappear, but AI and automation will increase the speed and scale of the cyber risk.  

Here's what a few of our experts believe are the trends that will shape this next phase of cybersecurity, and the realities organizations should prepare for.  

Agentic AI is the next big insider risk

In 2026, organizations may experience their first large-scale security incidents driven by agentic AI behaving in unintended ways—not necessarily due to malicious intent, but because of how easily agents can be influenced. AI agents are designed to be helpful, lack judgment, and operate without understanding context or consequence. This makes them highly efficient—and highly pliable. Unlike human insiders, agentic systems do not need to be socially engineered, coerced, or bribed. They only need to be prompted creatively, misinterpret legitimate prompts, or be vulnerable to indirect prompt injection. Without strong controls around access, scope, and behavior, agents may over-share data, misroute communications, or take actions that introduce real business risk. Securing AI adoption will increasingly depend on treating agents as first-class identities—monitored, constrained, and evaluated based on behavior, not intent.

-- Nicole Carignan, SVP of Security & AI Strategy

Prompt Injection moves from theory to front-page breach

We’ll see the first major story of an indirect prompt injection attack against companies adopting AI either through an accessible chatbot or an agentic system ingesting a hidden prompt. In practice, this may result in unauthorized data exposure or unintended malicious behavior by AI systems, such as over-sharing information, misrouting communications, or acting outside their intended scope. Recent attention on this risk—particularly in the context of AI-powered browsers and additional safety layers being introduced to guide agent behavior—highlights a growing industry awareness of the challenge.  

-- Collin Chapleau, Senior Director of Security & AI Strategy

Humans are even more outpaced, but not broken

When it comes to cyber, people aren’t failing; the system is moving faster than they can. Attackers exploit the gap between human judgment and machine-speed operations. The rise of deepfakes and emotion-driven scams that we’ve seen in the last few years reduce our ability to spot the familiar human cues we’ve been taught to look out for. Fraud now spans social platforms, encrypted chat, and instant payments in minutes. Expecting humans to be the last line of defense is unrealistic.

Defense must assume human fallibility and design accordingly. Automated provenance checks, cryptographic signatures, and dual-channel verification should precede human judgment. Training still matters, but it cannot close the gap alone. In the year ahead, we need to see more of a focus on partnership: systems that absorb risk so humans make decisions in context, not under pressure.

-- Margaret Cunningham, VP of Security & AI Strategy

AI removes the attacker bottleneck—smaller organizations feel the impact

One factor that is currently preventing more companies from breaches is a bottleneck on the attacker side: there’s not enough human hacker capital. The number of human hands on a keyboard is a rate-determining factor in the threat landscape. Further advancements of AI and automation will continue to open that bottleneck. We are already seeing that. The ostrich approach of hoping that one’s own company is too obscure to be noticed by attackers will no longer work as attacker capacity increases.  

-- Max Heinemeyer, Global Field CISO

SaaS platforms become the preferred supply chain target

Attackers have learned a simple lesson: compromising SaaS platforms can have big payouts. As a result, we’ll see more targeting of commercial off-the-shelf SaaS providers, which are often highly trusted and deeply integrated into business environments. Some of these attacks may involve software with unfamiliar brand names, but their downstream impact will be significant. In 2026, expect more breaches where attackers leverage valid credentials, APIs, or misconfigurations to bypass traditional defenses entirely.

-- Nathaniel Jones, VP of Security & AI Strategy

Increased commercialization of generative AI and AI assistants in cyber attacks

One trend we’re watching closely for 2026 is the commercialization of AI-assisted cybercrime. For example, cybercrime prompt playbooks sold on the dark web—essentially copy-and-paste frameworks that show attackers how to misuse or jailbreak AI models. It’s an evolution of what we saw in 2025, where AI lowered the barrier to entry. In 2026, those techniques become productized, scalable, and much easier to reuse.  

-- Toby Lewis, Global Head of Threat Analysis

Conclusion

Taken together, these trends underscore that the core challenges of cybersecurity are not changing dramatically -- identity, trust, data, and human decision-making still sit at the core of most incidents. What is changing quickly is the environment in which these challenges play out. AI and automation are accelerating everything: how quickly attackers can scale, how widely risk is distributed, and how easily unintended behavior can create real impact. And as technology like cloud services and SaaS platforms become even more deeply integrated into businesses, the potential attack surface continues to expand.  

Predictions are not guarantees. But the patterns emerging today suggest that 2026 will be a year where securing AI becomes inseparable from securing the business itself. The organizations that prepare now—by understanding how AI is used, how it behaves, and how it can be misused—will be best positioned to adopt these technologies with confidence in the year ahead.

Learn more about how to secure AI adoption in the enterprise without compromise by registering to join our live launch webinar on February 3, 2026.  

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December 22, 2025

Why Organizations are Moving to Label-free, Behavioral DLP for Outbound Email

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Why outbound email DLP needs reinventing

In 2025, the global average cost of a data breach fell slightly — but remains substantial at USD 4.44 million (IBM Cost of a Data Breach Report 2025). The headline figure hides a painful reality: many of these breaches stem not from sophisticated hacks, but from simple human error: mis-sent emails, accidental forwarding, or replying with the wrong attachment. Because outbound email is a common channel for sensitive data leaving an organization, the risk posed by everyday mistakes is enormous.

In 2025, 53% of data breaches involved customer PII, making it the most commonly compromised asset (IBM Cost of a Data Breach Report 2025). This makes “protection at the moment of send” essential. A single unintended disclosure can trigger compliance violations, regulatory scrutiny, and erosion of customer trust –consequences that are disproportionate to the marginal human errors that cause them.

Traditional DLP has long attempted to mitigate these impacts, but it relies heavily on perfect labelling and rigid pattern-matching. In reality, data loss rarely presents itself as a neat, well-structured pattern waiting to be caught – it looks like everyday communication, just slightly out of context.

How data loss actually happens

Most data loss comes from frustratingly familiar scenarios. A mistyped name in auto-complete sends sensitive data to the wrong “Alex.” A user forwards a document to a personal Gmail account “just this once.” Someone shares an attachment with a new or unknown correspondent without realizing how sensitive it is.

Traditional, content-centric DLP rarely catches these moments. Labels are missing or wrong. Regexes break the moment the data shifts formats. And static rules can’t interpret the context that actually matters – the sender-recipient relationship, the communication history, or whether this behavior is typical for the user.

It’s the everyday mistakes that hurt the most. The classic example: the Friday 5:58 p.m. mis-send, when auto-complete selects Martin, a former contractor, instead of Marta in Finance.

What traditional DLP approaches offer (and where gaps remain)

Most email DLP today follows two patterns, each useful but incomplete.

  • Policy- and label-centric DLP works when labels are correct — but content is often unlabeled or mislabeled, and maintaining classification adds friction. Gaps appear exactly where users move fastest
  • Rule and signature-based approaches catch known patterns but miss nuance: human error, new workflows, and “unknown unknowns” that don’t match a rule

The takeaway: Protection must combine content + behavior + explainability at send time, without depending on perfect labels.

Your technology primer: The three pillars that make outbound DLP effective

1) Label-free (vs. data classification)

Protects all content, not just what’s labeled. Label-free analysis removes classification overhead and closes gaps from missing or incorrect tags. By evaluating content and context at send time, it also catches misdelivery and other payload-free errors.

  • No labeling burden; no regex/rule maintenance
  • Works when tags are missing, wrong, or stale
  • Detects misdirected sends even when labels look right

2) Behavioral (vs. rules, signatures, threat intelligence)

Understands user behavior, not just static patterns. Behavioral analysis learns what’s normal for each person, surfacing human error and subtle exfiltration that rules can’t. It also incorporates account signals and inbound intel, extending across email and Teams.

  • Flags risk without predefined rules or IOCs
  • Catches misdelivery, unusual contacts, personal forwards, odd timing/volume
  • Blends identity and inbound context across channels

3) Proprietary DSLM (vs. generic LLM)

Optimized for precise, fast, explainable on-send decisions. A DSLM understands email/DLP semantics, avoids generative risks, and stays auditable and privacy-controlled, delivering intelligence reliably without slowing mail flow.

  • Low-latency, on-send enforcement
  • Non-generative for predictable, explainable outcomes
  • Governed model with strong privacy and auditability

The Darktrace approach to DLP

Darktrace / EMAIL – DLP stops misdelivery and sensitive data loss at send time using hold/notify/justify/release actions. It blends behavioral insight with content understanding across 35+ PII categories, protecting both labeled and unlabeled data. Every action is paired with clear explainability: AI narratives show exactly why an email was flagged, supporting analysts and helping end-users learn. Deployment aligns cleanly with existing SOC workflows through mail-flow connectors and optional Microsoft Purview label ingestion, without forcing duplicate policy-building.

Deployment is simple: Microsoft 365 routes outbound mail to Darktrace for real-time, inline decisions without regex or rule-heavy setup.

A buyer’s checklist for DLP solutions

When choosing your DLP solution, you want to be sure that it can deliver precise, explainable protection at the moment it matters – on send – without operational drag.  

To finish, we’ve compiled a handy list of questions you can ask before choosing an outbound DLP solution:

  • Can it operate label free when tags are missing or wrong? 
  • Does it truly learn per user behavior (no shortcuts)? 
  • Is there a domain specific model behind the content understanding (not a generic LLM)? 
  • Does it explain decisions to both analysts and end users? 
  • Will it integrate with your label program and SOC workflows rather than duplicate them? 

For a deep dive into Darktrace’s DLP solution, check out the full solution brief.

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About the author
Carlos Gray
Senior Product Marketing Manager, Email
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