Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Arctic Wolf

How Artificial Intelligence (AI) Can Increase Threat Detection and Response

Mar 13, 2026 By Arctic Wolf In Arctic Wolf
Security leaders are being squeezed from both sides. On one side, threat actors are scaling operations with AI automation, using it to craft more convincing social engineering attacks, accelerating reconnaissance, and improving lateral movement. On the other side, defenders are drowning in telemetry, suffering under staffing constraints, and facing the harsh reality that threat actors don’t keep business hours.
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AppSec in the age of AI: An RSA Conference preview

Mar 13, 2026 By Wallarm In Wallarm
Application security is at a breaking point as development teams move faster than ever, aided by AI-powered coding assistants. While these tools boost productivity, they also introduce subtle errors and insecure patterns at scale. The result: a growing backlog of vulnerabilities that outpaces traditional AppSec models. This webcast examines the risks and opportunities of AI in AppSec and who will be addressing it at RSA Conference. We’ll explore how defenders can use AI to level the playing field with automated scanning, intelligent prioritization, and secure-by-design practices.
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kovrr

What Data Is Required for EU AI Act Compliance

Mar 12, 2026 By Kovrr In Kovrr
The EU AI Act places significant emphasis on documentation because regulatory oversight depends on an organization's ability to demonstrate how its AI systems operate and how associated risks are managed. Compliance is not determined solely by how an AI system performs, but by whether the organization can provide evidence that appropriate governance, risk controls, and oversight mechanisms are in place throughout the system lifecycle.
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protecto

LLM Data Leakage Prevention: 10 Best Practices

Mar 12, 2026 By Ashish Kamathi In Protecto
Forget the breach notification email. Forget the security audit trail. A fintech user opened their chatbot last year, saw someone else’s account details staring back at them, and filed a support ticket. That’s how the team found out their LLM had been leaking customer PII for weeks. LLM data security isn’t a checkbox. It’s an architecture decision. Make it before the first model call, not after the first breach. Most teams get one expensive lesson before they understand that.
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fidelis security

Inside Fidelis CNAPP: A Detailed Look at the Features That Strengthen Cloud Security

Mar 12, 2026 By Fidelis Security In Fidelis Security
Cloud adoption is accelerating, but cloud security complexity is growing just as fast. Security teams now manage hybrid workloads, multi-cloud environments, containerized applications, and sensitive cloud-native data. Traditional tools designed for on-prem environments often struggle to provide consistent visibility across these dynamic systems. This creates operational pressure. Teams deal with fragmented alerts, inconsistent policies, and uncertainty about real cloud risk exposure.
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reach security

A Comprehensive Guide to Continuous Threat Exposure Management (CTEM)

Mar 12, 2026 By John Dominguez In Reach Security
Continuous Threat Exposure Management is a continuous security framework for identifying, assessing, validating, and reducing the exposures that matter most to an organization. Rather than treating every exposure, alert, or control issue as equally urgent, CTEM helps organizations focus on the exposures that are actually reachable, relevant to likely attack paths, and meaningful in a business context.
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LimaCharlie

Use Agentic SOC-as-Code to Right-Size Your AI Operations

Mar 12, 2026 By LimaCharlie In LimaCharlie
Let’s start by drawing a strong distinction between what LimaCharlie does and what others offer in their AI SOCs. LimaCharlie's Agentic SecOps Workspace is an architecture that integrates AI as part of the security fabric. It's agentic AI security you own and control, not a black box you subscribe to. We introduce an easily deployable SOC-as-code approach that increases your control and capabilities.
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CrowdStrike

4 Ways Businesses Use CrowdStrike Charlotte AI to Transform Security Operations

Mar 12, 2026 By Scott Wotring In CrowdStrike
Security teams are being asked to do more than ever, often with fewer people and less time. As alert volumes continue to rise and adversaries automate their attacks, even mature SOCs struggle to keep pace. Legacy tools surface signals, but they still leave analysts responsible for triage, investigation, and response decisions that take time and experience to execute well. CrowdStrike Charlotte AI was built to change that model.
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