Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Automate your GRC program with the Vanta Agent

Aug 4, 2026 By Vanta In Vanta
Your compliance program never sits still. Controls drift, tests fail, policies go out of date. The Vanta Agent keeps up. It has full context on your program through Vanta's Trust Graph, so it never hits a dead end. It always recommends the next step. The Trust Graph is Vanta's data and intelligence layer, powered by 400+ integrations that map your risks, controls, policies, and vendors. Add continuous monitoring, risk scoring, automated testing, and framework mapping, and the Agent works with the full picture.
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TITAN AI Demo Series: Query Vendor Risk Within Claude

Aug 4, 2026 By SecurityScorecard In SecurityScorecard
Your security team already lives in Claude. Now TITAN AI does too. SecurityScorecard's new Model Context Protocol (MCP) connector brings TITAN AI directly into Claude. Your team can query vendor risk, scores, and findings without leaving the tool they already use every day. No new dashboard, no extra login, just answers where the work already happens. In this episode of SecurityScorecard's Demo Tuesday series, see the TITAN AI MCP connector in action inside Claude.
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Zenity

Zenity Now Integrates with Microsoft Agent 365

Aug 4, 2026 By Joseph Geiser In Zenity
AI agents have moved from pilots into broad enterprise use. They read email, query systems of record, take actions, invoke tools, and coordinate with other agents on behalf of employees. Every line of business wants more of them, and security teams are being asked to enable that expansion without losing visibility or control.
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keeper

AI Governance vs AI Compliance: What's the Difference?

Aug 4, 2026 By Ashley D'Andrea In Keeper
The main difference between AI governance and AI compliance is that AI governance is the internal framework an organization develops to manage AI responsibly, while AI compliance is how organizations demonstrate to external regulators that they’re adhering to applicable laws and regulations. These two terms get used interchangeably, but they solve different problems. With compliance alone, an organization can satisfy regulators without meaningfully controlling how its AI behaves.
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keeper

AI's Hidden Identity Risk for MSPs

Aug 4, 2026 By Peter Koros In Keeper
Organizations are rapidly integrating AI into everyday business operations. Teams are using Microsoft Copilot and Gemini to summarize meetings, developers are accelerating software delivery with coding copilots and customer service teams are deploying AI-powered chatbots to improve response times. While these initiatives are viewed through the lens of productivity and innovation, they are also reshaping organizations’ identity environments in ways that frequently go unnoticed.
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egnyte

July Release Rollup: Bulk Extraction, Enhanced AI Assistant UI, and More

Aug 4, 2026 By Sanjay Kosuri In Egnyte
July's release makes AI more useful across the Egnyte platform, with major enhancements to AI Assistant that make it easier to build agents, create documents, have more natural conversations, and securely connect AI tools through Egnyte MCP Server.
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Arctic Wolf

Introducing the Cyber AI Readiness Accelerator: Outpace Your Adversary with Exposure Management

Aug 4, 2026 By Will Briggs In Arctic Wolf
AI has overwhelmingly changed how organizations build and grow. It’s also changed how attackers find and exploit exposures and weaknesses. The window between “exposure exists” and “exposure is exploited” is shrinking, and most security teams already feel it.
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WatchGuard

Cybersecurity Skills Shortage or Capabilities Gap? Why the Difference Matters

Aug 4, 2026 By Kim Maibaum In WatchGuard
For years, cybersecurity has faced a persistent talent shortage. Yet the real challenge for many organizations isn't simply finding more people; it's having the specialized capabilities needed to investigate and respond to today's increasingly sophisticated threats.
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securonix

In AI, No One Can Hear the Sandbox Scream

Aug 4, 2026 By Securonix In Securonix
Aaron Beardslee, Security Researcher, Securonix Threat Labs As many of you have heard, OpenAI was running a cyber-capability evaluation against advanced models, including GPT-5.6 Sol and a more capable pre-release model with reduced cyber refusals. The environment was meant to be constrained and the model still brute forced through it.
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kovrr

AI Agent Governance: How Enterprises Should Approach It

Aug 4, 2026 By Kovrr In Kovrr
Governing AI agents at enterprise scale requires a fundamental change in how security, risk, and compliance teams think about AI oversight. The generative AI era focused governance on output quality: what the model says, what it produces, and whether the content meets policy standards. ‍ The agentic era demands governance of action and delegated authority: what the AI is allowed to do, what systems it can touch, and how its decisions trace back to human accountability.
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