Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

Frontier AI Is Collapsing the Exploit Window. Here's How Defenders Must Respond.

Apr 20, 2026 By CrowdStrike In CrowdStrike
The defensive timeline in cybersecurity is changing faster than most organizations are prepared for. For years, defenders operated with an assumption that there would be some delay between vulnerability disclosure and exploitation. That delay created a window for patching, mitigation, and detection. It wasn’t perfect, but it gave security teams time to act. Frontier AI is removing that buffer and changing how organizations must consider cyber risk.
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keeper

Why Identity Security is Key To Managing Shadow AI

Apr 20, 2026 By Ashley D'Andrea In Keeper
Employees are adopting Artificial Intelligence (AI) tools to enhance their productivity, but they rarely consider the security implications of doing so. When an employee pastes sensitive customer data into an unapproved AI tool, that data is processed by a third-party model outside the organization’s control, often leaving no audit trail for security teams to review.
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vanta

Your auditor is about to ask about AI agents. 9 things they'll want to see

Apr 20, 2026 By Vanta In Vanta
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. Studies show that AI adoption outpaces understanding.
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Understanding Data Governance in the Age of Generative AI

Understanding Data Governance in the Age of Generative AI

Apr 20, 2026 By SecuritySenses In SecuritySenses
Generative AI is changing how organizations create, process, and distribute information. Tools powered by models from companies like OpenAI and Google can produce content, analyze data, and automate workflows at a scale that wasn't realistic a few years ago. That shift creates opportunity, but it also raises a more grounded concern: how do you control, protect, and manage the data feeding these systems?
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Why Brands Use the Same AI Avatar Across Every Campaign Instead of Rotating Influencers

Why Brands Use the Same AI Avatar Across Every Campaign Instead of Rotating Influencers

Apr 20, 2026 By SecuritySenses In SecuritySenses
Here is the reason why major consumer brands have historically invested in long-term spokesperson relationships instead of continually changing faces for different campaigns. Recognition builds up. The more an audience sees a person again and again associated with a brand, the more the presenter and the brand become linked in their minds -and each individual advertisement will have to do less work in establishing credibility before delivering the message.
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wallarm

The Governance Gap: How the EU AI Act Makes API Security a Compliance Imperative

Apr 19, 2026 By Wallarm In Wallarm
Your legal team just handed you a 400-page document and said "figure out compliance." The EU AI Act is live, your organization falls under its scope, which is broader than many expect. Even non‑EU companies must comply if their AI systems are used, deployed, or produce effects within the European Union. In practice, that means that global organizations building or integrating AI models cannot treat the Act as a regional regulation.
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Claude Mythos Just Killed Exploitability as a Security Signal

Apr 19, 2026 By Seemplicity In Seemplicity
The game has changed. For years, security teams used exploitability to decide what to patch first. If a vulnerability had a known exploit, it went to the top of the list. If not, it waited. But with the arrival of next-gen AI models like Claude Mythos, that strategy is officially broken. In this video, we discuss how Claude Mythos has collapsed the barrier to building working exploits. What used to take real skill and significant time can now be weaponized in minutes. When everything is exploitable, exploitability becomes noise.
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protecto

Types of AI Guardrails and When to Use Them (2026)

Apr 18, 2026 By Mariyam Jameela In Protecto
The types of AI guardrails are input guardrails, output guardrails, security guardrails, ethical guardrails, and operational guardrails, each positioned at a different failure point across an inference pipeline. Gartner’s research found that 30% of generative AI projects don’t survive past the proof-of-concept stage, with weak risk controls cited as the leading reason. Most of those projects weren’t badly built. The models worked. The gaps were in what sat around them.
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indusface

Exposed LLM Infrastructure: How Attackers Find and Exploit Misconfigured AI Deployments

Apr 17, 2026 By Aayush Vishnoi In Indusface
Someone is scanning your LLM infrastructure right now. They are not waiting for you to finish your security review. Between October 2025 and January 2026, GreyNoise’s honeypot infrastructure captured 91,403 attack sessions targeting exposed LLM endpoints. These were two distinct campaigns systematically mapping the expanding attack surface of misconfigured AI deployments. Your team is moving fast on AI. LLM servers are going live, inference APIs are being connected, MCP endpoints are being spun up.
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