Listen to this Post
Introduction
Artificial intelligence is rapidly transforming the cybersecurity industry, and according to European cybersecurity leaders, companies no longer have an excuse for shipping vulnerable software without knowing about the risks inside their own products. As AI-driven vulnerability discovery becomes faster, smarter, and more accessible, regulators are beginning to treat secure development not as an optional feature but as a mandatory business requirement.
During the ESET World conference held in Berlin on May 19, officials from both the European Union Agency for Cybersecurity and the UK National Cyber Security Centre discussed how modern AI systems are redefining software security. Their message was direct: organizations that fail to adopt AI-assisted cybersecurity practices may soon fall behind both attackers and competitors.
The discussion arrives at a critical moment for the technology industry, especially as advanced AI models such as Claude Mythos and OpenAI GPT5.5-Cyber continue demonstrating unprecedented capabilities in vulnerability discovery, automated remediation, and defensive analysis.
ENISA Says Companies Can No Longer Ignore Software Vulnerabilities
Hans de Vries, Chief Cybersecurity and Operational Officer at European Union Agency for Cybersecurity, stated that AI-powered vulnerability scanning tools have evolved to a point where technology companies should already be aware of flaws hidden within their products.
According to de Vries, modern AI systems are now capable of identifying and even fixing software bugs at a scale and speed that was impossible only a few years ago. Because of this, organizations claiming ignorance about vulnerabilities may no longer be viewed as credible by regulators, customers, or courts.
He emphasized that companies now possess the tools necessary to proactively detect weaknesses before attackers exploit them. In his view, cybersecurity by design has become a fundamental requirement for operating in the digital economy rather than simply a best practice.
De Vries connected these expectations directly to the European Union’s Cyber Resilience Act, often referred to as the CRA. The legislation officially entered into force in December 2024 and introduces mandatory cybersecurity obligations for products with digital elements. Reporting obligations are scheduled to begin in September 2026, while the broader compliance requirements will fully apply by December 2027.
The ENISA executive described security-by-default principles as a “license to do business,” warning that companies failing to adopt proactive security measures could face legal consequences if preventable vulnerabilities lead to breaches.
He also delivered a broader warning about AI adoption itself. Organizations that fail to integrate AI coherently into their cybersecurity operations may struggle to remain competitive within the next few years.
AI Models Are Accelerating Vulnerability Discovery
The cybersecurity landscape in 2026 is being heavily shaped by increasingly capable AI frontier models. Tools powered by advanced language models are now assisting researchers in scanning massive codebases, identifying insecure configurations, analyzing software dependencies, and generating remediation suggestions automatically.
What once required large teams of security analysts can now often be performed in minutes using AI-enhanced workflows.
This acceleration benefits defenders, but it also creates new pressure. As vulnerability discovery becomes easier, the overall number of publicly known weaknesses could rise dramatically. Poorly secured products may become exposed faster than ever before.
That concern was echoed by Paul Chichester, Director of Operations at the National Cyber Security Centre. Speaking during the same conference, Chichester said the industry is entering a phase where vulnerabilities in poorly written systems will inevitably be discovered.
However, he clarified that finding vulnerabilities does not automatically mean a company has already been compromised. Organizations with mature layered defenses, proper segmentation, monitoring systems, and strong incident response practices can still reduce the damage caused by discovered flaws.
Chichester also pointed out that AI will likely help software vendors improve development standards over time. As companies increasingly integrate AI into development pipelines, software products could become more consistently verified and tested before release.
ESET Expands AI Cybersecurity Investments
During the Berlin conference, Slovak cybersecurity company ESET announced a €40 million investment aimed at expanding its research and development capabilities.
The company plans to use the funding to accelerate development of cybersecurity-focused foundational AI models, advanced layered AI infrastructure, and a next-generation AI-powered Security Operations Center.
The investment highlights how cybersecurity vendors are aggressively repositioning themselves around AI-assisted defense systems. Instead of treating AI merely as an enhancement feature, many firms now view it as the future foundation of digital protection.
This trend is expected to intensify as governments implement stricter regulations and as attackers themselves adopt AI-driven offensive capabilities.
What Undercode Say:
The statements from ENISA and the UK NCSC reflect a major philosophical shift happening across global cybersecurity. For decades, software vulnerabilities were often treated as inevitable side effects of complex development processes. Today, regulators increasingly view preventable vulnerabilities as signs of negligence.
The rise of AI-assisted security tools fundamentally changes expectations. If a company has access to systems capable of continuously scanning code, identifying dangerous patterns, detecting insecure APIs, and analyzing dependencies in real time, then the traditional excuse of “we didn’t know” becomes much weaker.
This shift may eventually reshape legal liability across the technology industry.
The Cyber Resilience Act is particularly important because it moves cybersecurity from recommendation to obligation. Europe is effectively telling vendors that insecure software is no longer acceptable in critical markets. Similar regulations will likely emerge in North America and Asia over the next few years.
Another major implication involves software development culture itself.
Historically, developers focused heavily on functionality and speed-to-market, while security reviews often happened later in the lifecycle. AI now allows security analysis to become deeply integrated into development pipelines from the very beginning. This could dramatically reduce the number of trivial vulnerabilities reaching production environments.
However, there is also a dangerous paradox.
As defenders gain AI-powered vulnerability discovery, attackers gain the same advantage. Criminal groups can now automate reconnaissance, fuzzing, exploit research, phishing generation, malware obfuscation, and even social engineering campaigns using advanced models.
This means the cybersecurity arms race is accelerating on both sides simultaneously.
The companies most at risk are likely not large enterprises with mature security programs. Instead, smaller vendors, unmanaged cloud environments, shadow IT systems, legacy infrastructure, and poorly maintained software ecosystems could become prime targets.
Another overlooked issue is alert fatigue.
AI systems may uncover enormous numbers of vulnerabilities, but organizations still need skilled analysts to prioritize risks correctly. A flood of automated findings without proper triage can overwhelm security teams and create operational paralysis.
The future likely belongs to hybrid security operations where AI handles large-scale analysis while human experts focus on contextual decision-making.
There is also growing concern regarding AI-generated code. As developers increasingly rely on generative coding assistants, insecure patterns could spread rapidly if models are not carefully trained on secure development standards.
In that sense, AI simultaneously becomes both the cure and the disease.
ESET’s €40 million investment demonstrates how cybersecurity firms are now racing to build proprietary AI ecosystems. Security vendors no longer want generic AI tools alone. They want specialized cybersecurity-first models trained specifically for threat intelligence, malware analysis, detection engineering, and incident response.
This specialization could create a new competitive divide in the cybersecurity industry.
Companies with advanced AI security infrastructure may achieve near real-time detection and remediation capabilities, while organizations relying on traditional manual workflows may struggle to keep up.
The next few years will likely determine whether AI becomes the greatest defensive breakthrough in cybersecurity history or the force that dramatically increases global attack complexity.
Fact Checker Results
✅ ENISA officials did publicly state that modern AI vulnerability scanning reduces excuses for unknown software flaws.
✅ The EU Cyber Resilience Act entered into force in December 2024, with phased obligations extending through 2027.
❌ AI vulnerability detection does not guarantee complete protection, since layered defenses and operational security still remain essential.
Prediction
🔮 AI-assisted software audits will become mandatory for enterprise-grade software certification within the next five years.
🔮 Cybersecurity regulations worldwide will increasingly treat preventable vulnerabilities as compliance failures rather than accidental mistakes.
🔮 Security Operations Centers powered by autonomous AI agents will become standard infrastructure for major technology companies and governments.
🕵️📝Let’s dive deep and fact‑check.
References:
Reported By: www.infosecurity-magazine.com
Extra Source Hub (Possible Sources for article):
https://www.instagram.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
Bing
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon
