Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vanta Third Party Risk Management Demo Part 2: Agentic Assessment

Vanta TPRM transforms vendor assessments into an automated, intelligent workflow, helping your team move faster without sacrificing depth. In this demo, see how Vanta's AI-powered assessment gathers evidence, answers questions, and surfaces key findings—so you can evaluate vendor risk with greater speed, consistency, and confidence.

Is Anthropic's Mythos AI a Real Cyber Threat? What You Need to Know

In the session at CII CIO Awards & Conclave, our Founder & CEO Mr. Anirban Mukherji discussed the evolving cybersecurity landscape shaped by AI and Large Language Models (LLMs) like Anthropic's Mythos. With 28 years of experience in Cybersecurity, he outlined practical defenses including SBOM management, dynamic testing, source code analysis, patch management, AI guardrails, and a "Nation First" approach for sovereignty. Explore trends like on-premises migration, shadow AI risks, and why Mythos enhances bug detection without current threats.

7 Best Predictive Maintenance Software for 2026

Here's a number that should stop you cold: unplanned equipment failures cost organizations billions every year, and most teams don't catch the bleeding until it's already serious. I've seen facilities limp through reactive maintenance cycles for years, convinced it was "just how things work." It isn't. Predictive maintenance software has become the clearest answer to that problem, and in 2026, the platforms doing it best are genuinely transforming how asset-heavy operations run.

How to Bridge the Gap Between Your Applicant Tracking and Modern AI Capabilities

Most hiring teams are currently working with software that was built for a different era of technology. These legacy systems are reliable for storing data but they often lack the smart features that modern recruiters need to stay competitive in a fast market. It is a common struggle that leads to frustration.

Beyond the Bug: Why Cybersecurity Still Matters Even If AI Improves Secure Development

Anthropic has officially launched Claude Security, moving its AI‑driven code vulnerability detection, validation, and patching capabilities from a limited research preview into public beta. Improving software security before code ships is a positive step for the industry and can help reduce future risk. However, stronger secure‑by‑design development does not address the scale of exposure organizations face today.

Treat AI Like an Employee #ai #aisecurity

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

Sandboxing AI Agents on AKS: Network Policies, Workload Identity, and Least Privilege

Your AI agent runs on AKS with a managed identity that can read Azure Key Vault, and you assume prompt injection is a theoretical risk—until a malicious prompt drives that agent to steal credentials from the Azure metadata endpoint in under a minute. Most teams discover this gap when their SIEM shows a single request to 169.254.169.254, but they cannot trace it back to which agent tool or prompt triggered it, or how far the stolen token traveled across their Azure environment.

AI Threat Detection for Healthcare: Protecting Patient Data from AI-Mediated Attacks

For six weeks, a mid-size hospital system’s CDS agent issued recommendations biased by a poisoned guideline summary. No detection alert fired. The drift — denial recommendations in cases sharing one specific clinical attribute — traced back to a guideline an outside contributor had quietly reweighted in editorial review. Every existing detection stack reported green. DLP: no PHI left the cluster. EHR audit log: agent reading and writing within scope. Network egress: normal traffic.