Manchester, UK
2018
  |  By Graeme Walker
We have launched a new Trust Layer to help enterprises operate more safely and effectively as AI agents and other forms of automation shape the web as we know it. This exciting new era reflects a broader shift in how organisations need to think about digital traffic.
  |  By Netacea
2025 changed the shape of digital risk. In 2026, the impact accelerates. The fastest-growing threats no longer look like traditional attacks. They arrive through apparently legitimate automated access – AI agents, LLM crawlers, and delegated automation interacting directly with revenue-critical systems. They don’t trigger alarms. They quietly extract value, distort pricing logic, and reshape digital economics at scale.
  |  By Netacea
Cybersecurity tools and procedures were designed to provide full defence against predictable threats that followed patterns that would raise alarms. Familiar CAPTCHAs, IP blocks, browser checks, browser fingerprinting, and login restrictions would provide a protective layer for businesses to ensure only genuine users were using their website, or app, or API responsibly. This layer of cybersecurity used to distinguish human from bot.
  |  By Andrew Ash
The web is entering a new phase. Artificial intelligence is beginning to act on behalf of people rather than simply assisting them. AI agents are now browsing, comparing, and buying, taking on the decisions that once sat firmly in human hands. This marks the start of the agentic marketplace, an emerging ecosystem where autonomous systems interact, negotiate, and transact across digital platforms.
  |  By Netacea
Account takeover (ATO) is one of the most consistent and costly threats facing consumer-facing businesses in 2025. And this year, the problem has been supercharged by the Mother of All Breaches (MOAB), a credential leak containing 16 billion username and password combinations. It rarely begins with a breach of your own systems. More often, it starts with someone else’s data leak. Credentials are reused, recompiled, and redeployed across platforms you may not even realise are vulnerable.
  |  By Netacea
We’re proud to announce that Netacea has once again successfully completed our SOC 2 Type II audit, marking our fifth consecutive year achieving this important milestone in data security and trust. SOC 2 compliance isn’t a checkbox exercise. It’s a rigorous, independent validation of how seriously we take the responsibility of protecting customer data. For five years running, Netacea has demonstrated our commitment to operating securely, reliably, and transparently.
  |  By Netacea
What is LLM Scraping? We’re entering a new phase of the Internet, one that is increasingly shaped by generative AI. These systems need data, and lots of it. To meet this hunger, they scrape the web, pulling in everything from news articles and academic journals to product listings, metadata, and user-generated content. This practice, known as large language model (LLM) scraping, has moved far beyond traditional bots indexing public sites.
  |  By Threat Research Team
Botnets have become a core part of the infrastructure in today’s cybercrime ecosystem — not just as enablers of disruption, but as purpose-built networks engineered for profit, stealth, and scalability. Built from large networks of compromised devices and rented out via criminal marketplaces, botnets are now essential as-a-service components of any cyberfraudster’s toolkit. While the concept of a botnet is not new, their construction, use cases, and value have certainly advanced.
  |  By Netacea
Retail fraud is becoming increasingly normalized in the US and UK as ‘refund hacks’ are promoted to consumers by organized crime gangs looking to recruit both knowing and unwitting digital mules. This positioning of fraudulent activity as a ‘refund hack’ deliberately hides its illegal nature. Combined with growing awareness of fraud techniques – both online and offline – it’s driving consumer acceptance of casual fraud. This is bad news for retailers.
  |  By Netacea
Update to attack framework announced to coincide with recognition as an industry standard The Open Worldwide Application Security Project (OWASP) announced today that the Business Logic Attack Definition Framework (BLADE Framework) has become The OWASP BLADE Framework Project. The name change reflects the acceptance of the attack framework as an OWASP project and recognition of the framework as an industry standard.
  |  By Netacea
Watch to see how one of the world's largest media publishers tackled bot-driven content theft…​#Cybersecurity​
  |  By Netacea
Most bot defenses can be bypassed—but not Netacea. Our server-side integration protects APIs, apps, and websites without client-side signals, making it invisible to attackers. Watch to see how it works.
  |  By Netacea
Scalpers are at it again! PS5 detachable disc drives & Instax film are the latest targets, with bots snatching them up for resale.
  |  By Netacea
We detect sophisticated attacks that disguise themselves as legitimate activity ​#Cybersecurity​ ​
  |  By Netacea
Risk assessments in cybersecurity are vital. Listen to our latest podcast episode for more ​
  |  By Netacea

#botmanagement #cyberattacks #onlinesafety

  |  By Netacea

#CybersecuritySessions #onlinesafety #leadership

  |  By Netacea
Business logic attacks are becoming more sophisticated as criminals invest time and effort into learning how their target websites, apps and APIs work. Many bot management solutions encourage cybersecurity and anti-fraud professionals to focus only on the execution phase of an attack when bots are active on a website, but there are several other phases that provide opportunity for disruption of an attack before this point.
  |  By Netacea

#botmanagement #cybersecurity #onlinesafety

  |  By Netacea

#onlinesecurity #cybersecurity #defensiveai

  |  By Netacea
Are you seeing the full picture when it comes to web and application security? Without fast and accurate data at your fingertips from the best bot management, it's increasingly difficult to differentiate human from automated bot traffic on your web-facing applications. Credential stuffing, account fraud and scraping attacks are a multi-billion-dollar business¹, with the scope for earning made increasingly simple by the vast number of internet users, availability of login credentials and the sheer volume of connected devices.
  |  By Netacea
In 2019 we saw more credential stuffing, sniper and scraper bot attacks targeting websites, mobile apps and APIs alike. The shift in attack vectors and scale of attacks highlights an urgent need for a sophisticated solution that protects businesses and customers from the growing malicious bot threat. Understanding the intent of bad bots vs. humans or good bots is vital as all industries face new challenges in acquiring the necessary visibility of their traffic, and subsequent analysis required for rapid and effective attack response that doesn't sacrifice the user experience.
  |  By Netacea
The second Payment Services Directive (PSD2) is a data-driven legislation introduced by the European Union (EU) in 2015, with which all payment service providers (PSPs) throughout the EU and beyond must comply. PSD2 expands the scope of 2007's PSD, a directive implemented to make payments across borders as easy, secure and inexpensive as domestic payments. However, a short eight years later, innovations in technology and the prevalence of fintech have created new challenges for the payments industry to address.
  |  By Netacea
Web traffic is made up of human and non-human visitors, but not all these sources are safe. Sophisticated bot traffic is on the rise and it is becoming increasingly difficult to differentiate the criminal from real customers. Download your free copy of 'The Managing and Mitigating Bots' Guide and learn about.
  |  By Netacea
In 2017 Black Friday was the single largest cause of web traffic peaks and website outages in the retail industry. Even a 1-second delay in load time can result in a 7% loss in conversions.

Netacea provides a revolutionary bot management solution that protects websites, mobile apps and APIs from malicious attacks such as scraping, credential stuffing and account takeover.

Our Intent Analytics™ engine, powered by machine learning, quickly and accurately distinguishes bots from humans to protect websites, mobile apps and APIs from automated threats while prioritising genuine users. Actionable intelligence with data-rich visualisations empowers you to make informed decisions about your traffic.

We Prevent Sophisticated Automated Threats:

  • Account Takeover: Stop account takeover by identifying account-based attacks.
  • Credential Stuffing: Prevent data breaches and protect your website from credential stuffing attacks.
  • Fake Account Creation: Prevent fake account fraud by identifying bot accounts, fake account creation and mass account registration.
  • Web Scraping: Identify and block web scrapers and scraping attacks made to compromise your website.
  • Ad/Click Fraud: Identify ad fraud to reduce wasted spend and prevent ad bots from illegitimately displaying or accessing ads.
  • Skewed Marketing Analytics: Prevent bots from stealing your marketing budget and skewing your analytics.

A Smarter Approach to Bot Management.