If you’ve seen ‘Blade Runner’ you’ll know how difficult it can be to determine if someone is human or not. While that was fiction it’s worth remembering that it was set in 2019.

In 2025 and in the real world it’s becoming increasingly difficult to tell humans from bots in the online world. AI-powered bots, nearly indistinguishable from humans, are multiplying rapidly. This presents a growing nightmare for headhunters, security officers and more. We spoke to Terence Kwok, founder and CEO of blockchain identity platform Humanity Protocol, about the challenge of verifying humanity online.

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Today's security operations center has to deal with a relentless flood of telemetry from IaaS, SaaS, identity providers, endpoints, and email providers. While AI can help many existing solution focus only on a small portion of SOC challenges.

Exaforce is launching its agentic security operations (SOC) platform, combining AI-native capabilities for the entire SOC lifecycle alongside a fully managed MDR service. It aims to employ agentic AI across the entire security operations lifecycle, spanning threat detection, alert triage, investigation, threat hunting, and response.

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As cyber threats become more frequent and complex, CISOs are increasingly concerned about their organization’s ability to withstand a material attack. 76 percent feel at risk of experiencing a material cyberattack in the next 12 months, yet 58 percent say they are unprepared to respond.

The latest Voice of the CISO report from Proofpoint surveyed 1,600 global CISOs across 16 countries and finds human behavior remains a critical vulnerability, with 92 percent attributing at least some data loss to departing employees.

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Over the year from August 2024 to July 2025 the top 10 AI chatbots collectively pulled in 55.88 billion visits, accounting for 58.8 percent of all AI tool traffic.

Within this group, ChatGPT is the undisputed leader, drawing 46.6 billion visits (up 106 percent year-on-year) and holding 48.36 percent of the entire AI tools market share.

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More organizations are turning to AI to assist in their digital transformation efforts, but many projects get stuck in the pilot phase.

That’s not necessarily a sign of failure though. Rather, it reflects that AI is still in its formative stage, with its most transformative impact still ahead. We spoke to Nadav Eiron, SVP of cloud engineering at Crusoe to learn more about how AI can transition from experimentation to integration, and from potential to permanence.

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Artificial intelligence is making insider threats more effective according to a new report which also shows that 53 percent of respondents have seen a measurable increase in insider incidents in the past year.

The survey, of over 1,000 cybersecurity professionals, from Exabeam finds 64 percent of respondents now view insiders, whether malicious or compromised, as a greater risk than external actors. Generative AI is a major driver of this, making attacks faster, stealthier, and more difficult to detect.

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A new survey from Gurucul in collaboration with Cybersecurity Insiders finds that 87 percent of respondents are deploying, piloting or evaluating AI-powered SOC tools, but only 31 percent are using them across core detection and response workflows.

The study, based on responses from over 700 cybersecurity leaders around the world, finds human and identity risks are still a major concern. 78 percent of security leaders identify social engineering and phishing as their top threat, followed closely by identity-based attacks (73 percent). However, 67 percent say they still lack visibility into access behavior and lateral movement.

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Artificial intelligence is being used to streamline many business tasks, but at the same time it opens up new attack vectors and risks.

Secure AI specialist WitnessAI is announcing two new products aimed at securing enterprise LLMs and AI applications through automated red-teaming and behavioral runtime protection.

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On average, enterprises spend 11 hours of employee time investigating and remediating a single critical identity-related security alert.

A new study from Enterprise Strategy Group, of 370 IT and cybersecurity decision makers, shows this affects the capacity of security teams to manage alert volume, and this is only made worse in the age of AI.

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If you’ve contacted a company recently it’s more than likely that you have encountered some form of AI either online or over the phone.

We spoke to Priya Vijayarajendran, CEO of ASAAP to find out how AI is transforming real-time customer service interactions in the contact center, and what it means for the evolving relationship between humans and machines.

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New AI agents launched today by Druva, the company says, will fundamentally change the way customers secure, recover, and manage their data.

A major expansion to DruAI, the company’s suite of AI capabilities for customers, features intelligent agents that can interpret user intent, analyze data, and take meaningful action. This shift aims to move enterprises beyond traditional, query-based AI to agentic systems designed for action -- helping teams strengthen cyber resilience with greater speed, simplicity, and confidence.

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For the second consecutive quarter sales of .AI domain names have surged -- with a quarterly record of $4.5 million in volume in the last quarter (up from $3.48 million in the first quarter of this year) as demand for artificial intelligence-related branding accelerates.

The latest Domain Investment Index from online payments service Escrow.com reflects the embrace of AI. “Two huge tech trends are colliding here: the incredible uptake of AI in business and the realization that domains are the commercial real estate of the Internet,” says Escrow.com chief executive Matt Barrie.

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New research shows 81 percent of organizations knowingly ship vulnerable code, and 98 percent experienced a breach stemming from vulnerable code in the past year, that’s a sharp rise from 91 percent in 2024.

The survey from Checkmarx, of more than 1,500 CISOs, AppSec managers and developers around the world, also shows that AI‑generated code is becoming mainstream, but governance is lagging.

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Increasing pressure to build and launch applications quickly has seen a rise in the use of AI to generate code. New analysis from Sonar, looking at the quality and security of software code produced by top Large Language Models (LLMs), finds significant strengths as well as material challenges across the tested models.

The study used a proprietary analysis framework for assessing LLM-generated code, tasking the LLMs with over 4,400 Java programming assignments. The LLMs evaluated in the study include Anthropic's Claude Sonnet 4 and 3.7, OpenAI's GPT-4o, Meta's Llama-3.2-vision:90b, and OpenCoder-8B.

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A new report reveals an increasing trust gap between businesses deploying agentic AI for external communications and consumers wary of sharing personal information due to security concerns.

The research, carried out by Censuswide for Salt Security, also warns that without proper API discovery, governance and security, the very technology meant to drive smarter customer engagement could open the door to cybersecurity issues including attacks or data leakage.

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