Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Torq

What SOC Analysts Actually Want From AI

Apr 27, 2026 By Rick Bosworth In Torq
See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Rick Bosworth is a cybersecurity marketing executive with nearly two decades of experience driving GTM strategy across technology startups. His uniquely technical perspective bridges the gap between complex solutions and practical customer outcomes. Rick has deep expertise spanning EDR, CNAPP, CWPP, AppSec, CTEM, and agentic SecOps.
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protecto

Privacy in Enterprise AI: Why It's the Foundation, Not a Feature

Apr 27, 2026 By Amar Kanagaraj In Protecto
Last week, OpenAI released Privacy Filter, an open-weight model for detecting and redacting PII in text. It is a thoughtful release: Apache 2.0 licensed, able to run locally, designed for high-throughput workflows, and built to go beyond regex-based detection. This is good news for everyone building enterprise AI. Privacy at the model layer is getting real attention. What we liked most was how clearly OpenAI described the role of the model.
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nightfall

How Do AI Agents Create Data Exfiltration Risk?

Apr 27, 2026 By Chris Martinez In Nightfall
AI agents create data exfiltration risk by combining three capabilities that are dangerous together: access to private data, exposure to untrusted content, and the ability to communicate externally. When all three exist in one agent, an attacker can hide instructions inside an email, document, or webpage the agent processes and trick it into sending sensitive data out. No software vulnerability is required. The attacker doesn't need to break in. They just need to talk to your agent.
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LimaCharlie

Agentic SecOps: Build a security AI agent that automatically investigates detections

Apr 27, 2026 By Daniel Ballmer In LimaCharlie
A credential access event fired. An AI agent investigated it, correlated it against running processes, assessed the risk, and closed the ticket. No analyst touched it. The entire loop ran in minutes. This is what security operations look like when AI can actually operate in the environment rather than advise from outside it. Security operations have always required a special kind of person.
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reach security

The Configuration Drift Behind the Teams Helpdesk Breach

Apr 27, 2026 By Garrett Hamilton In Reach Security
On April 22, 2026, Google's Threat Intelligence Group and Mandiant disclosed a campaign by a threat actor they're tracking as UNC6692. The group breached enterprise networks by impersonating IT helpdesk staff over Microsoft Teams, ultimately exfiltrating Active Directory databases and achieving full domain compromise. What's notable about UNC6692 is what they didn't do. They didn't use a zero-day. They didn't exploit a software vulnerability.
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Measuring Real Risk Reduction Across Your Security Stack

Apr 27, 2026 By Reach Security In Reach Security
Garrett Hamilton recently presented at the North Texas ISSA Lunch & Learn in Plano, TX to talk about what risk reduction actually looks like in practice. Reach shows customers exactly which controls they've deployed, the user impact of those changes, and how much risk has been reduced across IAM, EDR, email, firewall, and SASE. Not feature checklists. Targeted, measurable outcomes tied to the business.
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Exposure Prioritization Agent: Demo Drill Down

Apr 27, 2026 By CrowdStrike In CrowdStrike
Vulnerability volume continues to rise, making it difficult for security teams to determine which exposures actually matter. Without clear prioritization, teams are forced to react to volume, often focusing on severity scores instead of real risk. In this demo drill down, we showcase the Exposure Prioritization Agent within Falcon Exposure Management. You’ll see how AI-driven prioritization uses ExPRT.AI, adversary intelligence, and business context to reduce millions of vulnerabilities into a focused set of high-risk exposures.
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