TrendAI has adopted Anthropic’s Claude Opus 5 model for vulnerability prioritisation and virtual patching, extending its earlier work with Claude Opus 4.8.<\/p>\n
It plans to use the model across hybrid enterprise environments to help security teams move more quickly from identifying software weaknesses to applying protections. TrendAI will use the model’s reasoning and workflow features to assess which vulnerabilities are exploitable, rank them by likely business impact, and support mitigation before a software vendor issues a permanent patch.<\/p>\n
The adoption comes as security teams face growing volumes of vulnerability data and pressure to act faster. Companies often discover weaknesses long before fixes are deployed across their systems, leaving a window in which attackers can exploit known flaws.<\/p>\n
TrendAI is part of Anthropic’s Cyber Verification Program, which vets organisations for defensive use of frontier AI models. It also said Claude Opus 5 is compatible with zero data retention requirements, linking that to governance and data protection standards in security operations.<\/p>\n
Protection focus<\/p>\n
This work will feed into the TrendAI Vision One platform, used by security operations centre teams, application security teams, and security analysts. The aim is to shift vulnerability management from periodic scanning to a process that weighs exploitability and context before deciding what to fix or shield first.<\/p>\n
Virtual patching is central to that approach. Rather than waiting for software suppliers to release and customers to install a permanent patch, virtual patching applies compensating protections that can block exploitation in the meantime.<\/p>\n
Mick McCluney, Field Chief Technology Officer, ANZ, at TrendAI, said the pressure on organisations in Australia and New Zealand is no longer just about finding flaws.<\/p>\n
“Claude Opus 5 doesn’t just help us find more vulnerabilities, it helps us reduce risk faster. We’re seeing Australian and New Zealand organisations overwhelmed by discovery volumes but starved for protection speed. TrendAI turns that equation around by prioritising what is actually exploitable, protecting before patches land, and turning vulnerability intelligence into measurable risk reduction. That’s how we help customers stay ahead of the AI-accelerated threat timeline, not behind it,” McCluney said.<\/p>\n
TrendAI cast the change as part of a broader shift in cyber security, where artificial intelligence is making vulnerability discovery easier while increasing the speed at which attackers can act on new information. That leaves defenders under pressure to interpret signals quickly and decide which exposures matter most.<\/p>\n
Research link<\/p>\n
The model will also be used in TrendAI’s threat research, where AI models are combined with internal intelligence systems and human researchers to generate intelligence before public disclosure of vulnerabilities. Those findings then feed detection, forensic work, and virtual patching.<\/p>\n
Rachel Jin, Chief Platform and Business Officer, Head of TrendAI, said the company sees the model’s value in helping teams act on intelligence rather than simply collect more of it.<\/p>\n
“With Claude Opus 5, TrendAI can move from vulnerability intelligence to action faster than ever, prioritising what matters most by exploitability and business impact. Finding the vulnerability was always the hard part. Now the challenge is protecting organisations faster than software can be permanently patched, and frontier reasoning is what changes that equation, extending all the way to virtual patching that protects customers before a vendor fix ships. This is what it means to secure the AI age, fearlessly,” Jin said.<\/p>\n
The adoption of Claude Opus 5 also reflects how security vendors are increasingly turning to large AI models for narrowly defined defensive tasks such as ranking risk, mapping attack paths, and recommending mitigation steps. The practical challenge is to show that the models can improve response times without creating new governance or data-handling concerns.<\/p>\n
For customers, the appeal is likely to rest on whether these systems can cut through the backlog of known vulnerabilities that many organisations struggle to address. Security teams have long had tools that produce lists of exposures; the harder task has been deciding which ones create immediate danger and what action can be taken before a full software update is available.<\/p>\n
TrendAI said its use of Claude Opus 5 is intended to help its platform deliver that kind of judgement across hybrid environments, including support for exposure prioritisation, attack path mapping, and mitigation through virtual patching.<\/p>\n","protected":false},"excerpt":{"rendered":"TrendAI has adopted Anthropic’s Claude Opus 5 model for vulnerability prioritisation and virtual patching, extending its earlier work…\n","protected":false},"author":2,"featured_media":149050,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[53,3154,8918,10348,111,10652,16337,10396,182,692,313,507,9955,545,8915,8021,1741,3888,10390,8526,16335,8917,14901,10583,28492,8920,10064,11274,10349,39393,291,7505],"class_list":["post-149049","post","type-post","status-publish","format-standard","has-post-thumbnail","category-anthropic","tag-anthropic","tag-anthropic-claude","tag-application-security","tag-appsec","tag-artificial-intelligence-ai","tag-attack-surface-management","tag-australia-new-zealand","tag-australian","tag-claude","tag-cyber-risk","tag-cybersecurity","tag-data-privacy","tag-data-protection","tag-digital-transformation","tag-enterprise-security","tag-hybrid-cloud","tag-incident-response","tag-infosec","tag-it-department","tag-large-language-models-llms","tag-new-zealand-nz","tag-patching","tag-posture-management","tag-risk-compliance","tag-security-analytics","tag-security-operations-centres-socs","tag-security-posture","tag-security-vulnerabilities","tag-supply-chain-security","tag-system-on-a-chip-soc","tag-threat-detection","tag-threat-intelligence"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/149049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=149049"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/149049\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/149050"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=149049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=149049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=149049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}