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.

Critical SonicWall SMA 1000 Flaw Targeted in 135 Exploitation Attempts After Patch

What Happened

Threat actors have been observed exploiting a recently disclosed critical security flaw in SonicWall Secure Mobile Access (SMA) 1000 appliances within days of public disclosure. The vulnerability, tracked as CVE-2026-102255 (CVSS score: 10.0), is a case of pre-authenticated server-side request forgery (SSRF) that could allow a remote attacker "to direct the appliance to issue requests on their

Why It Matters

The report describes a critical pre-authenticated SSRF vulnerability in SonicWall SMA 1000 appliances, CVE-2026-102255, with a CVSS score of 10.0; 135 exploitation attempts were observed after patches were released, although the available reporting does not confirm successful compromise.[1][6][8] No direct AI-specific impact is established. RealGround analysis: organizations using these appliances to protect environments that host AI systems should apply the vendor hotfixes and assess whether the affected gateway could expose AI infrastructure or connected data; the fallback AI supply-chain classification is used because no more specific allowed AI risk category is supported.

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://thehackernews.com/2026/10/critical-sonicwall-sma-1000-flaw.html