Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your Security Team Is Stretched Thin. Can AI Return the Hours?

The Arctic Wolf 2026 AI & Cybersecurity Trends Report asked security leaders how much time their teams spend each week on nine separate security tasks, and the answer came back between 13 and 15 hours for each one. That’s a workload that adds up to roughly three full-time people before anything unplanned arrives. Leaders are already acting on the problem.

How Protecto's Privacy Gateway protects data inside LibreChat

Self-hosting LibreChat gives you control over your chat infrastructure and conversation storage. But when you connect a hosted model such as OpenAI or Gemini, the prompts and context you send can still expose sensitive data. Protecto Privacy Gateway for AI Chat sits in that gap, in the request path between your LibreChat instance and whichever model you’ve connected.

Session Tokens Are the Real Target

For most of the past decade, security advice on credential attacks reduced to a single instruction. Turn on multi-factor authentication. That instruction was correct and it worked, which is precisely why attackers stopped attacking the thing it protects. The current generation of credential campaigns does not try to defeat MFA. It waits for the victim to complete it, then steals what the authentication produced. The password was never the prize. The session was.
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AEBA: Why Behavioural Analytics Has to Expand Beyond Humans

For years, security teams have built behavioural models around people. We learned that valid credentials only tell so much. A user can have legitimate access to a system and still behave in a way that deserves attention, which is why User and Entity Behaviour Analytics (UEBA) became such an important part of modern security operations today - intersecting data from multiple sources over extended periods of time to build a story indicating risk has become an essential tool to identify malicious actors, both insiders and outsiders.

Alert: AI is Accelerating Targeted Social Engineering Attacks

AI tools are drastically improving the speed of the reconnaissance stage of targeted social engineering attacks, according to researchers at ESET. Attackers can use these tools to trawl the internet for publicly available information about potential victims, and incorporate this information into personalized spear phishing attacks.

The cache miss that made our agent faster

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

AI anxiety is showing up on the org chart

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

CrowdStrike Accelerates Real-Time Data Classification with On-Device AI

Modern data security depends on understanding sensitive data as it is created, accessed, and moved in real time directly on the endpoint. In addition to identifying predefined patterns such as credit card numbers or Social Security numbers, organizations must protect unstructured information including documents, chat logs, support tickets, AI prompts, medical records, and free-text fields.

When One AI Model Fails Many Companies at Once

Cyber insurance works because losses across a book are mostly independent. One insured suffering ransomware tells you little about the next, so a portfolio of many policies is more predictable than any single one. ‍ Shared AI dependencies break that assumption in a specific way. Where a large share of a book depends on the same foundation model or the same inference infrastructure, a single failure produces simultaneous claims across insureds with no commercial relationship to each other.