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.

Continuous AI Red Teaming

Ongoing active adversarial simulations designed to bypass LLM guardrails, extract system prompts, inject malicious instructions, and abuse connected application tools.

Engagement Methodology

Who is Continuous AI Red Teaming for?

Healthcare Fintech SaaS Security Teams

What use cases does this service cover?

Active Jailbreak Simulation
Indirect Prompt Injection Tests
Agent Output Poisoning
Guardrail Stress Testing

Standard Deliverables

Detailed risk surface and model architecture mapping
Exploit scenarios, payload reports, and recreations
Specific prompt guardrails and output sanitizer templates
CISSP/CEH-informed security attestation letter

Try it yourself · Beta

Run prompt-injection and jailbreak probes against your chatbot with the RealGround scanner before a full red-team engagement.

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In The News

Related Threat Reports

We monitor curated channels for live security compromises. Below are recent approved threat intelligence incidents relating to Continuous AI Red Teaming risk scopes:

Published: 2026-xx-xx | Source: Check Point Research

AI Security Report 2026

Check Point Research reports that indirect prompt injection is rising, with detections of longer malicious payloads increasing sharply between March and May 2026, and that enterprise AI data leakage remains persistent as more organizations use multiple AI apps, including some without official approval. The report also indicates higher-risk prompts are becoming more common. RealGround analysis: this points to a growing attack surface where malicious content can influence AI behavior and where governance gaps can increase the chance of unintended data exposure, so organizations should test agent boundaries, validate tool-use logic, and assess whether unsanctioned AI usage is creating leakage pathways.

Severity Score: 89/100

Published: 2026-10-09 | Source: thehackernews.com

FBI Seizes 7 Domains, Disrupts Flax Typhoon Tools Used in Critical Infrastructure Intrusions

The report states that the FBI and DOJ seized seven domains and disrupted MicroScan and FishHub tools allegedly used by the China-linked Flax Typhoon group to scan, phish, and infiltrate critical infrastructure. The described activity involves conventional cyber intrusion infrastructure, not artificial intelligence or machine-learning systems. RealGround analysis: the incident has low direct relevance to AI-specific risk categories, but the disruption is highly severe for critical-infrastructure security and may warrant broader security-readiness and executive advisory review if AI-enabled systems are part of affected environments.

Severity Score: 95/100

Published: 2026-10-09 | Source: securityweek.com

US Disrupts Chinese State-Sponsored Hacking Tools

The report states that Flax Typhoon and related Chinese state-sponsored actors used MicroScan to identify vulnerabilities and FishHub to support spear-phishing and network compromise against U.S. and foreign critical infrastructure. The activity described is conventional cyber abuse and does not establish that AI systems were involved. RealGround analysis: the article has limited direct relevance to AI security, but its critical-infrastructure targeting and use of offensive tooling support readiness assessment and continuous red-team testing for organizations deploying AI-enabled systems in those environments.

Severity Score: 88/100