Huntress will be heading to International Cyber Expo 2026, where visitors can meet the team on Stand K94 and discover how the company is helping organisations tackle increasingly complex cyber threats with fewer resources.

One of the biggest challenges Huntress is seeing is the growing attack surface. Security teams are expected to protect endpoints, identities, cloud environments and other systems, often while dealing with limited time, resources and expertise.

At the same time, attackers are no longer operating in silos. Attacks increasingly move across different parts of an organisation’s environment, leaving security teams managing multiple tools and an overwhelming number of alerts.

At International Cyber Expo, Huntress will showcase its more unified, managed approach to security. The Huntress platform combines greater visibility across the attack surface with AI technologies and human security analysts to help partners and customers detect and respond to threats.

Tackling the rise of AI-powered attacks

AI-powered cybercrime will also be a major focus for Huntress at the show.

Generative AI is making it easier for attackers to create convincing phishing emails, develop malicious code and scale their operations. Tasks that previously required significant cybersecurity expertise can now be carried out with the help of readily available AI tools.

Huntress believes AI will also play an important role in helping defenders respond. Its approach uses AI to help analysts correlate security signals, summarise investigations and work faster, while retaining human judgement and context when making critical security decisions.

Visitors can also speak with Huntress about practical ways to strengthen their security posture. These include implementing multi-factor authentication, improving security awareness training and reducing vulnerabilities across the external network perimeter.

And when preventive controls fail, Huntress stresses the importance of having a mechanism to detect and respond to attacks quickly, including access to a 24/7 SOC that can support containment and remediation.

Listen to Huntress Senior Sales Engineer Alex Hitchen discuss the biggest cybersecurity challenges facing organisations today and what Huntress will be showcasing at International Cyber Expo 2026:

You can still register for FREE to attend International Cyber Expo HERE.

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Forescout has launched a new Rapid Insight Assessment designed to help organisations uncover hidden assets, network blind spots, and security exposures as artificial intelligence accelerates vulnerability discovery.

The new assessment combines external analysis with passive network monitoring to give security teams a clearer picture of their attack surface. Forescout says the service can deliver actionable findings within days, helping organisations identify and prioritise risks before attackers exploit them.

The launch comes as security teams face the challenge of managing increasingly complex environments. Unmanaged devices, shadow assets, exposed services, and gaps in network visibility can all create opportunities for attackers.

At the same time, advances in AI are making it possible to discover and exploit vulnerabilities faster.

Finding security exposures before attackers do

The Rapid Insight Assessment uses open-source intelligence to examine an organisation’s external exposure. For internal assessments, Forescout can also deploy its portable Flyaway Kit to passively observe network activity without disrupting operations.

The Flyaway Kit provides visibility across IT, OT, IoT, cyber-physical systems, and unmanaged devices, including assets within remote and air-gapped environments.

The assessment can identify internet-facing remote access services, exposed administrative interfaces, previously unknown network devices, risky communications, and unmanaged OT and IoT assets.

It can also provide more detailed asset intelligence and identify devices associated with Known Exploited Vulnerabilities.

AI is shrinking the window for defenders

Craig Weimer, Vice President and General Manager of Americas at Forescout, said the increasing ability of AI systems to carry out cyber tasks is changing how quickly organisations need to identify security weaknesses.

“When an AI system can discover, connect, and exploit vulnerabilities on its own, the idea of an autonomous attacker is no longer just a future concern,” Weimer said.

He pointed to recent public disclosures from OpenAI, Anthropic, and Meta showing that frontier AI models can perform complex, multi-step cyber tasks against real environments with limited human involvement.

“The message for defenders is clear: the window between exposure and exploitation is getting smaller, and organisations need a complete understanding of their attack surface before adversaries find it first,” he added.

Tackling network blind spots

One of the challenges facing security teams is that they cannot protect assets they do not know exist. This becomes particularly difficult across large or distributed environments where new devices and services can appear without being captured by existing security processes.

Forescout says its Rapid Insight Assessment is intended to provide organisations with a faster way to uncover these gaps without lengthy assessment cycles.

“Organisations can’t afford assessment cycles that take months when hidden exposures, network blind spots, and unknown assets can quickly become opportunities for attackers,” Weimer said.

“The Rapid Insight Assessment gives organisations a fast, efficient way to see their most critical security risks and exposure gaps, delivering clear, actionable findings in days so they can address exposures before they become security incidents.”

As AI gives attackers greater speed and automation, gaining an accurate view of the attack surface could become increasingly important. For defenders, finding hidden exposures before an adversary does may prove critical to reducing the opportunity for an attack in the first place.

Learn more and request your free Forescout Rapid Insight Assessment.

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