Articles about agentic AI

Enterprises face a growing volume and complexity of cyber threats which means security teams struggle with alert fatigue and managing a spread of tools.

Sumo Logic is launching a new agent-powered security operations tool to help automate routine tasks, streamline investigations, and give enterprise security teams the freedom and ability to focus on analyzing the biggest security issues facing their organization.

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Agentic AI is changing healthcare workflows by moving from passive data analysis to active orchestration of decisions.

But with this come risk. We spoke to Rajan Kohli, CEO of CitiusTech, to discuss how AI is changing healthcare and how organizations can prepare for its impact.

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A new report from compliance management company Strike Graph finds a worrying disconnect between the growing complexity of regulatory frameworks and organizations' confidence in their ability to manage them.

According to the report, potential errors (63 percent) and data security issues (50.5 percent) are the greatest concerns for respondents adopting AI in compliance processes. That may explain why only 10.6 percent have adopted advanced, agentic AI systems that are poised to revolutionize the governance, risk, and compliance (GRC) market.

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As cyber adversaries increasingly use AI to move faster and exploit blind spots, security, network, and application teams face mounting challenges, not helped by a global shortage of skilled professionals.

Observability specialist Gigamon is launching a new agentic AI application purpose-built for network-derived telemetry to deliver immediate guidance for security and IT operations teams.

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The agentic AI ecosystem, powered by large language models (LLMs), is creating a new class of cybersecurity risks according to a new report.

The study from Radware finds AI agents can act autonomously, access tools and private resources, and interoperate between one another. As enterprises turn to AI agents, there is a need to govern and secure this new emerging layer of digital infrastructure.

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Data insights platform WisdomAI is launching a new Proactive Agents feature that aims to supplement data analysis teams with the ability to proactively learn, monitor metrics, detect anomalies, prepare analysis, and execute decisions, allowing humans to focus on strategy and judgment.

“Data analysts have long been the gatekeepers to insights -- but they’re hard to scale, and no company can hire unlimited analysts,” says Soham Mazumdar, CEO and co-founder of WisdomAI. “Proactive Agents change that. They act as AI teammates that scale your data team’s capacity, increase productivity across the organization, and democratize access to analyst-grade work. Every employee can now benefit from the kind of monitoring and analysis that used to require dedicated headcount.”

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IT leaders are optimistic about the value AI can deliver, but readiness is low. Many organizations still lack the security, governance and alignment needed to deploy AI responsibly.

A new study by the Ponemon Institute for OpenText finds 57 percent of CIOs, CISOs, and other IT leaders rate AI adoption as a top priority, and 54 percent are confident they can demonstrate ROI from AI initiatives. However, 53 percent say it is ‘very difficult’ or ‘extremely difficult’ to reduce AI security and legal risks.

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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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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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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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Cybersecurity exposure management company Intruder has introduced GregAI, an AI-powered security analyst that, unlike generic AI assistants, has full visibility into each user’s security environment.

Currently in beta, GregAI is available to free trial users and customers on Intruder’s Cloud, Pro, and Enterprise plans. The assistant is named after Intruder’s original mascot, following a design file mix-up involving a designer named Greg.

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According to Gartner 33 percent of enterprise applications are expected to incorporate agentic AI by 2028, but are their security teams equipped with the latest training and technology to protect this new attack surface?

We spoke with Ante Gojsalić, CTO and co-founder at SplxAI to uncover the hidden dangers in agentic AI systems and what enterprises can do to stay ahead of the malicious looking to exploit them.

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As data demands across organizations intensify they need to scale productivity and enable business users to explore data independently.

Cube is launching an agentic AI analytics platform built on a universal semantic layer which allows it to operate autonomously within enterprise frameworks, automating work while preserving trust, governance, and transparency.

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The use of AI in software development can save valuable time completing routine tasks. But what if it could autonomously respond to events, implement changes, and submit code through standard pull requests?

This is what Zencoder is doing with the launch today of Autonomous Zen Agents for CI/CD, bringing groundbreaking AI automation directly into the software development infrastructure.

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