Articles about Artificial Intelligence (AI)

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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The rise of generative and agentic AI is transforming how data is accessed and used, not just by humans but by non-human AI agents acting on their behalf. This shift is driving an unprecedented surge in data access demands, creating a governance challenge at a scale that traditional methods can’t handle.

If organizations can’t match the surge in access requests, innovation will stall, compliance risks will spike, and organizations will reach a breaking point. Joe Regensburger, VP of research at Immuta, argues that the solution isn’t more powerful AI models; it’s better governance. We talked to him to learn more.

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New analysis of recent high-profile breaches and global threat patterns, reveals a cybersecurity landscape dominated by AI-enhanced attacks, organized cybercrime, and rapid exploitation of zero-day vulnerabilities.

The research, from compliance automation platform Secureframe, shows critical infrastructure, healthcare, and financial services have become primary targets as threat actors evolve faster than traditional defenses.

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Security teams are often hampered by having to identify and fix issues while weeding out false positives. This is an area where AI can help and Sysdig has launched a new agentic platform designed to analyze cloud environments end-to-end and uncover hidden business risk so organizations can remediate crucial threats fast and deliver measurable improvements in their security posture.

Sysdig Sage, the company’s AI cloud security analyst, ultimately understands context from the entire business and provides clear, contextual remediation recommendations, reducing an organization’s exposure time to critical vulnerabilities.

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Adversaries are weaponizing GenAI to scale operations and accelerate cyberattacks -- as well as increasingly targeting the autonomous AI agents reshaping enterprise operations. This is among the findings of CrowdStrike’s 2025 Threat Hunting Report.

The report reveals how threat actors are targeting tools used to build AI agents -- gaining access, stealing credentials, and deploying malware -- a clear sign that autonomous systems and machine identities have become a key part of the enterprise attack surface.

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Modern IT environments are massively distributed, cloud-native, and constantly shifting. But traditional monitoring and AIOps tools rely heavily on fixed rules or siloed models -- they can flag anomalies or correlate alerts, but they don’t understand why something is happening or what to do next.

We spoke to Casey Kindiger, founder and CEO of Grokstream, to discuss new solutions that blend predictive, causal, and generative AI to offer innovative self-healing capabilities to enterprises.

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As organizations embrace digital transformation and AI, security teams face mounting pressure to defend an ever-expanding attack surface according to a new report.

The research from Cobalt suggests traditional reactive security measures cannot keep pace with modern threats, particularly when adversaries leverage automation and AI to scale their attacks. 60 percent of respondents believe attackers are evolving too quickly for them to maintain a truly resilient security posture.

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