Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

Introducing the CrowdStrike Shadow AI Visibility Service

Apr 21, 2026 By JJ Cranford - Kris Krewson In CrowdStrike
Since the launch of CrowdStrike AI Security Services in 2025, our Professional Services team has yet to encounter an organization with an accurate inventory of the AI tools and services in use across its environment. One customer counted 150 agents in its inventory. We found over 500. Another had not approved agentic development at all; we discovered over 70 active agents.
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11:11 systems

Future of cybersecurity: Can AI outpace AI-driven threats?

Apr 21, 2026 By Scott Gray In 11:11 Systems
Defending your corporate network is much like the human immune system fighting off a novel virus. For decades, traditional IT infrastructure relied on recognizing known signatures to neutralize incoming threats. The virus has now learned to mutate faster than traditional defenses can track. This rapid mutation represents the new era of artificial intelligence in cyber warfare. You need to align your IT strategy with business goals to ensure long-term adaptability.
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foresiet

The April 2026 AI Security Report: 6 Incidents and Detailed Attack Paths

Apr 21, 2026 By foresiet In Foresiet
From AI agents leaking internal data to coordinated global malware campaigns — here is everything that happened in AI cybersecurity between April 7 and April 21, 2026, with detailed attack paths for each incident. The fifteen days following April 7, 2026 produced six distinct AI-related security incidents spanning internal data exposure, supply chain exploitation, autonomous malware generation, coordinated multi-vector attacks, model leak fallout, and documented AI agent control failures.
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Shift-Left Testing Only Works If Your Tests Are Trustworthy

Shift-Left Testing Only Works If Your Tests Are Trustworthy

Apr 21, 2026 By Syed Ahmed In SecuritySenses
Shift-left has become the standard answer to the quality and security problems that accumulate when testing happens late. Move testing earlier. Catch defects in development, not in production. Run security checks in the pipeline, not in a post-release audit. The principle is sound. The execution is where most teams run into trouble.
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teleport

NIST CSF 2.0 and Agentic AI: Building Profiles for Autonomous Systems

Apr 20, 2026 By Matthew Smith In Teleport
AI agents are likely already running inside your infrastructure. They triage alerts, remediate incidents, provision resources, and make decisions without waiting for a human to approve each step. For teams aligned to NIST’s Cybersecurity Framework (CSF) 2.0, this creates a problem: the framework assumes human actors, human-speed decisions, and human-readable audit trails. Autonomous systems break all three assumptions. The good news is that CSF 2.0 was designed to be adapted.
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Torq

Torq Leads Every Category in the 2026 KuppingerCole Analysts Leadership Compass: Emerging AI SOC

Apr 20, 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 The security automation market just got its definitive evaluation and its new name. KuppingerCole Analysts is the global analyst firm that sets the benchmark for cybersecurity technology evaluations.
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wallarm

Attacking the MCP Trust Boundary

Apr 20, 2026 By Wallarm In Wallarm
Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol (MCP), the fast-growing standard for connecting AI agents to external services, inherits that gap from the models it sits on top of.
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archTIS

AI Guardrails - DSPM Enters a New Era of Control and Visibility

Apr 20, 2026 By Wade Barisoff In archTIS
You cannot turn a corner without entering the world of AI. I was in a big box home improvement store the other day and there was a manufacturer touting the AI built into their refrigerator! Children’s toys, personal electronics, and even cat litter boxes are now selling AI-assisted products. I am a technology early adopter, and where I’ve seen good uses of AI, we are in the phase of “throw AI into everything” mode, as we do not know what will stick.
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Why AI Security Needs More Than One Tool #shorts #ai

Apr 20, 2026 By Protecto In Protecto
Why AI security needs more than one tool Most teams believe a single cybersecurity tool—like WAF, EDR, or API security—is enough to protect their AI systems. But that approach is outdated. AI security is not one layer—it’s a full stack problem. Discovery – Identify Shadow AI and unknown AI usage Build-Time Security – Prevent data poisoning & model risks (MLSecOps) Runtime Security – Stop real-time AI attacks and agent misuse Governance (AISPM) – Ensure visibility, compliance, and policy control.
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outpost 24

AI Penetration Testing: Protecting LLMs From Cyber Attacks

Apr 20, 2026 By David Ketler In Outpost 24
88% of organizations now regularly use artificial intelligence (AI) in at least one business function. While adoption of AI technologies has accelerated rapidly, security measures often lag. The rush to roll out AI has, in many cases, overshadowed essential testing and safety protocols. This is particularly a worry when AI and Large Language Models (LLMs) become deeply embedded within organizational workflows and systems in a way that most software isn’t.
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