Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

1Password

Closing the credential risk gap for AI agents using a browser

Oct 8, 2025 By Nancy Wang In 1Password
AI agents increasingly are completing real tasks in the browser, acting on behalf of employees, and connecting to the same systems humans rely on to get work done. This introduces a new security problem: AI agents require credentials – passwords, API keys, and one-time codes – to operate. As agents proliferate, the risk surface increases and it brings a variety of identity and access management challenges.
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Artificial Intelligence in Business: Value, Risk, and How to Put It to Work Safely

Artificial Intelligence in Business: Value, Risk, and How to Put It to Work Safely

Oct 8, 2025 By SecuritySenses In SecuritySenses
Leaders do not lack information; they lack the right signal at the right time, presented in a way they can trust. That is the promise of artificial intelligence in business, and also the source of its headaches. Used well, AI turns scattered activity into timely visibility. Used carelessly, it creates security questions, unpredictable outputs, and nervous legal teams. This guide lays out where AI reliably adds value inside a company, the security decisions that matter most, and a practical path to pilot, measure, and scale without drama.
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cultureai

AI Adoption Is Outpacing Governance: Conversations on Managing AI Risk

Oct 7, 2025 By CultureAI Team In CultureAI
Executives everywhere are under pressure to deploy AI fast — but our recent roundtable on AI risk, hosted by TEISS, revealed a growing concern: AI adoption is outpacing governance, and organisations are taking on more risk than they realise. While most enterprises have mature technical controls, many are missing visibility into how AI is being used — and by whom.
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miniorange

AI-Generated Attacks: What are They and How to Avoid Them?

Oct 7, 2025 By Chaitali Avadhani In miniOrange
AI-generated attacks, such as social engineering, phishing, deepfakes, malicious GPTs, data poisoning, and more, are disrupting the current security landscape speedily. But there are ways to avoid them and strengthen our defences with miniOrange IAM solutions.
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How Exabeam Detects LLM Abuse for Google Cloud Model Armor

Oct 7, 2025 By Exabeam In Exabeam
In this demo, see how the Exabeam New-Scale Security Operations Platform integrates with Google Cloud Model Armor to detect and stop abuse of large language models (LLMs). You’ll learn how Exabeam: Monitors AI activity for suspicious or malicious behavior Uses advanced analytics to spot LLM misuse in real time Helps security teams enforce responsible AI use policies Watch how Exabeam and Google Cloud work together to provide stronger visibility, detection, and protection against emerging threats targeting LLMs.
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knowbe4

Security Leaders Cite AI-Driven Phishing Attacks as a Top Concern

Oct 6, 2025 By KnowBe4 Team In KnowBe4
A new report has found that nearly 40% of security leaders believe their organizations are least prepared for phishing and other social engineering attacks, Help Net Security reports. According to the report from VikingCloud, these concerns are driven by the increasing use of AI tools to assist in cyberattacks. “Generative or agentic AI-driven phishing attacks (51%) are leadership teams’ top concern when it comes to new cyberattack techniques,” the report says.
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An AI/ML Deep Dive with Luke Wolcott

Oct 6, 2025 By WatchGuard Technologies In WatchGuard
This week on the podcast, we bring on WatchGuard's head of MDR data science Luke Wolcott to discuss the evolution of machine learning and artificial intelligence in cybersecurity. We dive into the differences in common (and uncommon) machine learning models, the pros and cons of supervised vs unsupervised learning, and why some of the coolest things happening in AI aren't the ones you hear about in the news.
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cyberark

AI agents in financial services: The hidden org chart

Oct 6, 2025 By Yuval Moss In CyberArk
AI agents are quickly becoming “first-class citizens” in financial services, mimicking human behavior and holding privileged access that rivals employees. Yet unlike people, they don’t appear on your official org chart. The financial services sector already lives in a state of constant tension: the race to adopt new technologies for a competitive edge often faces off with the duty to preserve customer trust earned over decades of reliability, regulation, and security.
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