Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Finance Teams Actually Want From AI

What Finance Teams Actually Want From AI

May 19, 2026 By SecuritySenses In SecuritySenses
Of all industries, it feels like it's the finance industry that's in the best position to benefit from AI integration, especially finance teams. After all, it's those teams that typically have to manually deal with data - and that's just the kind of thing that AI can help with. With that said, though AI can be beneficial for finance teams, it's far from a slam dunk. AI integration among finance teams has been slower and less extensive than it could have been, and that's in large part because employees haven't been given the AI tools that they actually want, or which make their jobs easier.
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knowbe4

What Is an Al Agent in Cybersecurity?

May 18, 2026 By Martin Kraemer In KnowBe4
At the Milken Conference in May 2026, Robert F. Smith, founder and CEO of Vista Equity Partners, described a shift that every security leader should hear. Software, he said, has moved through three states: product, then service and now worker. "That agent, that software, actually does work." Companies that do not make the transition to software as a worker, he was blunt, risk being disintermediated entirely.
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LimaCharlie

Security infrastructure for building AI in SecOps

May 18, 2026 By Daniel Ballmer In LimaCharlie
Some of the security industry is still cautiously evaluating its relationship with AI. They are weighing questions, sitting with uncertainty, and waiting for something to ease their concerns about trusting AI in production. This post isn't for that group. This is for AI tool developers already in motion. The ones who vibe-coded a log parser over a weekend, spun up local inference on dedicated hardware, or ran cross-model research pipelines across multiple data sources.
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1Password

AI builders can now easily access 1Password secrets management and developer tools

May 18, 2026 By Sanjay Ramnath In 1Password
AI coding tools have changed who builds software. The barrier to entry has dropped to the point where a designer, an analyst, or a first-time founder can turn an idea into a working app in an afternoon. That shift is real, and it's accelerating.
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armo

How to Reduce Alert Fatigue in AI Agent Detection: Why It's a Unit-of-Detection Problem, Not a Triage Problem

May 18, 2026 By Shauli Rozen In ARMO
When AI agent workloads start generating more alerts than your SOC can keep up with, the instinct most teams reach for is to deploy more triage on top of what they already have. If the SIEM is producing thousands of atomized alerts, plug in something downstream that can cluster, prioritize, and auto-resolve them faster than a human can. The market has consolidated around exactly this answer.
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armo

Prompt Analysis for AI Attack Detection: Four Signal Categories, Three Blind Spots, One Correlation Layer

May 17, 2026 By Yossi Ben Naim In ARMO
At 2:47 PM on a Tuesday, a customer support agent receives a routine ticket asking about return policy edge cases. The agent retrieves a section from your internal policy wiki through RAG to formulate the response. Three weeks earlier, an attacker had planted a hidden instruction in that wiki page. Bedrock Guardrails scored the retrieved context at 0.04 — well within benign range.
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armo

MITRE ATLAS for AI Agent Attack Detection: A Complete Mapping

May 17, 2026 By Ben Hirschberg In ARMO
MITRE ATLAS catalogs sixteen tactics and eighty-four techniques adversaries use against AI systems, including fourteen agent-focused techniques added through the October 2025 Zenity Labs collaboration. It is the canonical taxonomy a security architect’s CISO, auditor, or RFP will name. It is not a detection plan. ATLAS organizes around adversary objectives.
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wallarm

What Your Board Gets Wrong About AI Security

May 17, 2026 By Wallarm In Wallarm
Editor's note: This article was originally published by Craig Riddell on LinkedIn. It has been republished here with the author's permission. Boards are giving AI security more airtime than ever. What they're not giving is the right framing. A year or two ago, AI was mostly a question of experimentation risk. Today, it's tied directly to revenue, customer experience, operational efficiency, and competitive advantage. The urgency is real, and it's translating into aggressive deployment timelines.
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knowbe4

Redesigning Security Culture for the Agentic Age

May 15, 2026 By Martin Kraemer In KnowBe4
The launch of platforms like Moltbook, OpenClaw, and RentAHuman in early 2026 has provided an unsettling glimpse into the future. We are entering a phase of the digital workplace where AI agents no longer just assist us, they interact with one another, act autonomously in the physical world, and even hire humans for manual labor. In this environment, the traditional lines of control and agency are being redrawn.
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LimaCharlie

The AI attack surface: What MSSPs and SecOps teams need to watch

May 15, 2026 By Daniel Ballmer In LimaCharlie
AI tools are moving faster than the security controls meant to govern them.In this episode of Defender Fridays, Cisco's Cybersecurity Technical Solutions Architect Katherine McNamara walks through changes in the threat landscape as organizations rush to integrate AI without applying basic security discipline. When Katherine meets with customers to discuss AI security, the conversation almost always starts and ends in the same place: data leakage. Someone might upload sensitive files to a public LLM.
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