As generative AI continues to reshape software development and enterprise solutions, a new wave of cybersecurity risks emerges—prompting forward-thinking innovation in AI defense strategies.
Ebryx Introduces LLMSec: A New Era in AI Security
Global cybersecurity leader Ebryx has launched LLMSec, a comprehensive suite of security services designed specifically to protect Large Language Models (LLMs) and autonomous AI agents deployed in real-world production settings. As more developers incorporate AI into tools built on platforms like OpenAI, LangChain, and CrewAI, LLMSec addresses the unique vulnerabilities these systems face.
Emerging AI Threats: The Risk Landscape Is Changing
Unlike traditional application security protocols, LLMs introduce novel risks that demand tailored solutions. Among the most critical threats are:
- Prompt Injection & Jailbreaking: Manipulative prompts that alter or hijack model behavior.
- Data Leakage: Accidental exposure of private or sensitive data through AI outputs.
- Autonomous Agent Misuse: Instances where AI agents take unauthorized actions.
- Compromised Model Supply Chains: Use of backdoored or tampered open-source models.
- Regulatory Compliance Gaps: Difficulty aligning with standards such as GDPR, HIPAA, and ISO 42001.
“AI development is accelerating rapidly, but security practices aren’t keeping pace,” said Ahrar Naqvi, CEO of Ebryx. “LLMSec bridges that gap by empowering teams with expert-led, AI-native defenses.”
Inside LLMSec: Modular Services Built for GenAI Workflows
LLMSec seamlessly integrates within existing software development lifecycles and GenAI infrastructure. The solution offers a range of modular security capabilities, including:
- Prompt & Input Protection: Live defenses against adversarial inputs and jailbreak attempts.
- Agent Access Control: Governance over command execution and permission levels.
- Behavioral Monitoring: Continuous analysis of model responses and outputs.
- Secure Model Integration: Shielding APIs, vector databases, and orchestration stacks.
- Compliance & Privacy Controls: Tools for PII scanning and regulatory alignment.
- 24/7 Threat Detection & Response: Real-time alerting and expert remediation support.
The framework is grounded in the OWASP Top 10 for LLMs and NIST SP 800-218A, incorporating threat intelligence approaches from the MITRE ATLAS adversary model.
Flexible Deployment: Three Tiered Packages
To serve a variety of organizations—from startups to regulated enterprises—LLMSec is available in three scalable configurations:
- Starter Shield: Ideal for proof-of-concepts and AI MVPs.
- Growth Guard: Built for scaling teams with production-ready deployments.
- Enterprise Edge: Designed for mission-critical and compliance-heavy environments.
Why AI Builders Need Purpose-Built Security Now
As LLMs evolve to power everything from copilots to autonomous decision-makers, organizations must prioritize security from day one. Without proper safeguards, the very tools designed to boost productivity and innovation can become attack vectors or sources of compliance violations.
Organizations navigating these challenges may also find value in exploring how Cato Networks’ AI governance features complement the mission of platforms like LLMSec.
LLMSec represents a critical leap forward in securing the future of generative AI. As the capabilities of LLMs grow, so too must the defenses that protect them.
