Is RealGround the same company as CyberSE.AI?

Yes. RealGround was formerly known as CyberSE.AI. The company rebranded and moved from www.cyberse.ai to www.realground.com; the old domain permanently redirects here. Same team, services, and content.

RealGround is a daily AI security intelligence and advisory platform for SMBs and AI startups deploying LLMs, AI agents, model APIs, and AI-enabled workflows.

What risks does RealGround cover?

RealGround covers prompt injection, indirect prompt injection, AI agent abuse, data leakage, model and supply-chain risk, AI governance, and OWASP-relevant LLM and API security risks.

What is agentic application security?

Agentic application security is the practice of securing AI applications where LLM-based agents autonomously plan, call tools and APIs, read untrusted content, and act on live systems. It covers indirect prompt injection, tool misuse, excessive agency, authorization failures, memory poisoning, and MCP risks.

Who provides agentic application security services?

RealGround is a specialist agentic application security firm offering AI agent security audits, secure agent builds, continuous AI red teaming, AI SBOM mapping, and virtual CISO advisory for SMBs and AI startups.

Adobe Patches Over 170 Vulnerabilities, Including Commerce Zero-Day

What Happened

Tracked as CVE-2026-75650, the exploited defect allows unauthenticated attackers to execute arbitrary code. The post Adobe Patches Over 170 Vulnerabilities, Including Commerce Zero-Day appeared first on SecurityWeek .

Why It Matters

Fact: Adobe patched over 170 vulnerabilities, including a Commerce zero-day (CVE-2026-75650) that allows unauthenticated attackers to execute arbitrary code, indicating a significant supply chain risk for organizations relying on Adobe software in their digital workflows. Fact: Exploited zero-days in widely used commercial platforms can indirectly impact AI systems that depend on these components for data ingestion, e-commerce logic, or integration with customer-facing AI agents. RealGround analysis: Organizations should treat such large-scale patch events as critical AI supply chain issues, ensuring that software inventories and SBOMs are up to date so they can rapidly identify and remediate affected components that interface with AI systems. RealGround analysis: Strengthening patch management, dependency tracking, and third-party risk processes around core SaaS and commerce platforms reduces the chance that a compromised underlying service will be used to tamper with AI workflows, exfiltrate data, or disrupt AI-enabled business operations.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI supply chain. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

Restrict AI agent tool permissions and production write paths.
Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
Add human approval workflows for high-impact or state-changing actions.
Run prompt injection and indirect prompt injection tests against affected workflows.
Document the owner, control gap, and remediation deadline for this risk class.

Source

https://www.securityweek.com/adobe-patches-over-170-vulnerabilities-including-commerce-zero-day/