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Technology & SaaS

If you’re a software company, security isn’t a feature. It’s the condition for being allowed to grow.

Technology and SaaS businesses live in a different rhythm to most industries.

You ship weekly or even daily. You run multi-tenant platforms, API ecosystems and hundreds of integrations. Your teams are experimenting with AI faster than governance can keep up. And you’re operating in an environment where a single misconfigured bucket, OAuth app, or AI assistant can undo years of engineering and go-to-market work overnight.

The High stakes Of Compliance

USD 4.44M

Global average breach cost (2025)

USD 5.1M

Average cloud security breach

80%

Companies with a cloud breach (prior year)

63%

Orgs reporting external data oversharing (SaaS)

Global data shows the average cost of a data breach in 2025 was around USD 4.44 million—the first decline in five years but still a massive hit. (IBM) For cloud-centric businesses, recent research puts the average cost of a cloud security breach at about USD 5.1 million per incident. (SentinelOne)

By 2025, 80% of companies reported experiencing a cloud security breach in the previous year, with 60% of those involving public-cloud incidents. (Sprinto) In SaaS specifically, 63% of organisations report external data oversharing issues, while 56% see staff uploading sensitive data into unauthorised SaaS apps. (Cloud Security Alliance)

Fortura exists to help technology and SaaS companies grow without handing attackers a copy of the roadmap.

Our Focus

Who We Work With

This page is for technology and SaaS organisations across ANZ and globally, including:
  • B2B SaaS platforms (product-led growth and enterprise)
  • Developer tools, data & analytics platforms, and AI/ML products
  • Fintech and payments SaaS providers
  • HR, collaboration and productivity platforms
  • Vertical SaaS for sectors like health, education, logistics and property
  • Technology-enabled service providers and managed platforms

“If software is your product and cloud is your default, this is your threat model.”

Rising Expectation

The New Operating Reality for Tech & SaaS

Modern tech and SaaS companies operate under three structural pressures:
01

Cloud-first, always-on architectures

Most or all of your stack runs in public cloud, across multiple regions and accounts. You’ve got dozens of SaaS tools in your own environment, plus thousands of tenants or customers on your platform.

02

APIs and integrations everywhere

Your value is in how easily customers can plug into you—and how easily you can plug into them. OAuth apps, third-party marketplaces, webhooks and SDKs are table stakes.

03

AI as a differentiator

You’re under pressure to “add AI” to products and internal processes: copilots, chatbots, auto-triage, enrichment, scoring models, agent tooling.

The downside:

  • Cloud is now the default battleground. Around 45% of breaches occur in the cloud, and more than 80% of organisations experienced a cloud security breach in the last year alone. (Exabeam)
  • Misconfigurations and identity remain the weak points. Studies in 2026 show that around a quarter of cloud incidents are caused by misconfiguration, and over half of cloud breaches involve human error. (SentinelOne)
  • Attack volume is surging with AI. Check Point’s 2026 report found that AI-fuelled automation drove a 70% surge in weekly cyber attacks in 2025, with organisations facing nearly 2,000 attacks per week on average. (SecurityBrief Australia)

For tech and SaaS leaders, the question stops being “Are we secure?” and becomes:

“Are we secure enough to earn and keep the trust of customers, partners and investors—at the speed we need to grow?”
Inside The Attack

How Attacks Really Happen in Technology & SaaS

Attacks on tech and SaaS companies are rarely just “a phishing email” or “a misconfigured bucket”. They’re usually a chain reaction.

A common storyline looks like this:

01

Identity or token compromise

An engineer’s laptop runs a credential-stealing infostealer; a GitHub token leaks; an OAuth consent screen is abused. Attackers increasingly use AI to generate targeted phishing, and 16% of all breaches in 2025 involved AI on the attacker side, often in phishing or deepfake-enabled social engineering. (Varonis)

02

Pivot into cloud and SaaS admin surfaces

Once they have a foothold, attackers go after IdPs, CI/CD platforms, cloud management consoles, admin APIs and customer support tooling. The 2025 “UNC6395” campaign, for example, abused OAuth to compromise hundreds of SaaS tenants via trusted integrations. (Reco)

03

Abuse of trust relationships

Multi-tenant architectures and rich integrations become an advantage for attackers: one compromised account can see across tenants, environments or downstream apps. The 2025 State of SaaS Security report found external data oversharing and uploads to unauthorised SaaS apps were the norm, not the exception, giving attackers more paths to sensitive data. (Cloud Security Alliance)

04

Monetisation and leverage

  • Ransomware against cloud resources or backups
  • Theft of customer data and intellectual property
  • Manipulation of payments, credits or entitlements
  • Supply-chain style attacks where your platform becomes the delivery mechanism to your customers

Because your customers often integrate you deeply into their environment, a breach in your stack can become a downstream incident for dozens or hundreds of them.

This is why tech and SaaS security is not just “keeping our stuff safe”; it’s protecting an entire ecosystem from becoming collateral damage.

Emerging Risk

The AI Shift: New Surfaces, New Stakes

AI has moved beyond hype for tech and SaaS; it’s embedded in products, pipelines and GTM. That creates at least three new risk domains.

1. Shadow AI and uncontrolled data flows

  • Staff quietly paste code, logs, tickets and customer data into public AI tools. A 2025 study found 83% of organisations lack automated controls to stop sensitive data going into public AI, and 86% have no visibility into AI data flows at all. (Kiteworks)
  • IBM’s 2025 breach analysis shows that 13% of organisations reported breaches of AI models or applications, and 97% of those lacked proper AI access controls. (IBM Newsroom) Shadow AI breaches also cost around USD 670,000 more than the average breach, driven by slower detection and more sensitive data exposure. (Kiteworks)

For SaaS, this often looks like:

  • Product teams prototyping with public LLMs using live data
  • Support teams summarising tickets with customer PII
  • Engineers debugging with real config or secrets in prompts

2. AI-powered attacks

Attackers use AI to:

  • Generate highly targeted spear-phishing and social engineering
  • Build deepfake voices and synthetic identities at scale
  • Automate exploitation of common misconfigurations across thousands of targets

The result: more attacks, better-tailored to your business, and harder for humans to spot without strong detection.

3. AI inside your product

When you embed AI into your platform—copilots, summarisation, recommendations—you:

  • Ingest and process more customer data
  • Potentially expose model behaviour and training data via prompt injection or data leakage bugs
  • Take on new expectations from customers and regulators around transparency, fairness and safety
“If you’re shipping AI features without an AI threat model, you’re not innovating—you’re gambling.”

This is exactly the space where Fortura positions its AI & Emerging Technology Risk Assessment and Post-Quantum & Emerging Risk Readiness work for tech and SaaS clients.

Compliance

Frameworks, Customers and the Trust Contract

Unlike heavily regulated sectors, many tech and SaaS companies don’t start with a cyber regulation telling them exactly what to do. Instead, they operate under a trust contract driven by customers, auditors and markets.

Trust & assurance frameworks

  • SOC 2 (often table stakes for B2B SaaS)
  • ISO/IEC 27001 for information security management
  • ISO 27701 for privacy, and sometimes ISO 27017/27018 for cloud and PII
  • PCI DSS if you handle payments or card data

Regulation & privacy

  • Australian Privacy Act and NDB scheme
  • NZ Privacy Act
  • GDPR, CCPA and other global regimes if you serve overseas markets

Engineering & cloud benchmarks

  • NIST Cybersecurity Framework (NIST CSF)
  • ACSC Essential Eight (for ANZ signals)
  • OWASP ASVS, OWASP Top 10 and API Security Top 10
  • CIS Benchmarks for cloud and containers

From Fortura’s perspective, these aren’t just badges; they’re the language your buyers, partners and investors speak. Our assessments and architecture work typically align to NIST CSF, ISO 27001, SOC 2 and Essential Eight, and then plug into your existing compliance and product-security programs rather than duplicating them.

Costs of Compromise

The Cost Side: Breach, IP and Growth

For tech and SaaS companies, the cost of a breach isn’t just fines and remediation; it’s time not spent shipping product and winning customers.

Some specifics:

  • Global average cost per breach in 2025: ~USD 4.44 million, across industries. (IBM)
  • In cloud environments, the average cost climbs to around USD 5.1 million, reflecting higher data concentration and business impact. (SentinelOne)
  • In shadow-AI-related breaches, intellectual property carries the highest cost per record, at roughly USD 178 per record, making IP-heavy tech companies particularly exposed. (IBM)

For growth-stage and listed tech companies, add:

  • Sales and renewal impact – security questionnaires get harder, procurement cycles lengthen, and win rates drop.
  • Valuation pressure – markets punish perceived governance failures, not just missed numbers.
  • Opportunity cost – engineering time spent on post-breach cleanup instead of roadmap work.
“A single well-publicised incident can undo years of trust-building—especially if your product is supposed to secure or enable others.”

The ROI case for a disciplined, modern security program is simple: spend a single-digit percentage of your engineering and GTM budget to avoid an event that could halt growth entirely.

Horizon

The Next 3–5 Years for Technology & SaaS Cyber

For tech and SaaS companies, the next few years are likely to bring:
2027

More AI-native attacks and defence

Adversaries will continue to automate reconnaissance and exploitation; defenders will need AI-assisted detection and response to keep up. (CrowdStrike)

2028

Tighter expectations from enterprise buyers

Security due diligence, continuous monitoring and AI governance will become standard asks in RFPs and renewals.

2029

Regulation catches up to AI and SaaS

Privacy, AI safety and software liability regimes will place clearer obligations on how you build and operate platforms.

2030

SaaS supply-chain incidents as a norm

Your customers will assume that a compromise of you is a compromise of them—ecosystem defence becomes part of your product promise.

Fortura’s commitment as a challenger is to keep you:

  • Honest about your real exposure
  • Clear about the trade-offs between speed and safety
  • Equipped with a roadmap that your board, investors and engineering teams can actually live with

We’re not here to tell you to slow down. We’re here to help you move fast without tripping over the same security problems everyone else is creating.

FAQ

Technology & SaaS

Fortura is a cybersecurity company delivering intelligence-led services today and building security platforms for the future.
Because you aggregate data, identities and access for many customers, and you’re deeply integrated into their environments. A compromise of your platform can be leveraged into compromises of your customers.
They’re essential, but not sufficient. They prove controls on paper and in design. They don’t guarantee that your cloud, SaaS and AI usage is free of misconfigurations, risky integrations or real-world gaps. Fortura focuses on how you actually run.
Most start with a combined attack surface & cloud posture review plus an AI/shadow-AI risk assessment. From there, we co-design a roadmap and support Zero Trust design, threat-informed testing and incident readiness.
AI makes attacks cheaper and more tailored—better phishing, deepfakes, automated exploitation—while creating new surfaces in your own products and workflows. Shadow AI is already driving a measurable increase in breach costs.
We involve engineering early: mapping attack paths through pipelines, reviewing architecture, and validating that proposed controls won’t break delivery. Security becomes a design constraint, not a last-minute veto.
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