Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cyberhaven

Best AI Security Vendors in 2026

Apr 30, 2026 By Cyberhaven In Cyberhaven
Something fundamental changed in the last twelve months. Employees went from asking AI questions to handing it the keys to enterprise data. AI agents now read email, ship code, and query databases, and increasingly, they act without a human in the loop. Security teams evaluating AI security vendors in 2026 are not shopping for the same category they were in 2023. The threat model has changed. The vendors have not all kept pace.
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armo

Prompt and Tool Call Visibility: What Your AI Agents Are Actually Doing

Apr 29, 2026 By Yossi Ben Naim In ARMO
It is 11:47 p.m. and the on-call security engineer is staring at two dashboards. On the left, LangSmith — the ML team’s debugging stack — showing the agent’s prompts, model responses, tool calls, and tokens consumed. On the right, the runtime detection console showing eBPF-captured syscalls, network connections, and process trees from the same Pod. Both are populated.
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elastic

Whole-of-state cyber defense: How AI-driven security helps US states protect what matters most

Apr 29, 2026 By Bobby Suber In Elastic
Short answer: Because attackers exploit fragmentation faster than governments can respond This shift toward collective cyber defense is a cornerstone of the new federal vision. The March 2026 National Cyber Strategy for America explicitly calls for a "new level of relationship between the public and private sectors" and demands "unprecedented coordination across government" to protect the American people.
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Datadog MCP Server, Experiments, Bits AI Security Analyst, and more | This Month in Datadog

Apr 29, 2026 By Datadog In Datadog
April’s This Month in Datadog spotlights the Datadog MCP Server, which gives AI agents secure, real-time access to Datadog telemetry, and Datadog Experiments, which lets you design, launch, and analyze experiments to see the full impact of product changes on the user journey. Plus, we cover how to: Accelerate Cloud SIEM investigations with Bits AI Security Analyst Remediate vulnerabilities in your codebase with Bits AI Dev Agent for Code Security Explore Datadog with natural language using Bits Assistant.
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tanium

Types of AI agents: From simple reflex to autonomous systems

Apr 29, 2026 By Tanium In Tanium
AI agents fall into five foundational categories: simple reflex, model-based reflex, goal-based, utility-based, and learning agents. Each is defined by how much environmental awareness and decision-making complexity the system can handle, from fixed condition-action rules to feedback-driven self-improvement.
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nightfall

AI Agents are moving your sensitive data: Nightfall built a solution where DLP fails

Apr 29, 2026 By Chris Martinez In Nightfall
Somewhere in your environment right now, an AI agent is reading files, querying a database, and passing output through a channel your DLP has never seen. It's running under a legitimate user credential, inside a sanctioned tool, and it will not trigger a single alert. When it's done, there will be no record of what it accessed or where that data went. This is not an edge case. It is the default state of most enterprise environments in 2026.
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This Is How Red Teams Actually Use AI Security Data #aisecurity #redteam #threatintelligence

Apr 29, 2026 By Razorthorn Security In Razorthorn
The volume of AI security research is now too high for any human to track properly by hand. The practical answer is using AI to filter AI, reducing hundreds of articles and reports into a daily shortlist so analysts spend their time on signal instead of noise.
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upguard

1 in 15 MCP Servers are Lookalikes: Is Your Org at Risk?

Apr 29, 2026 By Shane Moosa In UpGuard
Researchers recently analyzed 18,000 Claude Code configuration files pulled from public GitHub repositories. What they found was straightforward and alarming: developers are already installing mistyped, misconfigured, and near-identical MCP server names — often without realizing it. The human-error condition that makes typosquatting work was already present at scale before any attacker needed to exploit it.
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