Offensive security,
explained for the AI stack
Krypteia Sec is an independent knowledge resource on offensive AI security, covering adversarial testing of LLMs, agents, MCP servers, and the systems built on top of them.
Who We Are
Krypteia Sec is an independent research publication covering offensive AI security. The coverage focuses on the surfaces most security writing still treats as an afterthought: large language models, autonomous agents, MCP servers, retrieval pipelines, and the integrations that connect them to production data and real-world actions.
The research pairs deep red team experience with offensive AI engineering. Every brief and guide is written by the same person who builds and runs the autonomous hackbots described in the research, then turns the findings into clear, practical explanations.
Independent. Research-driven. Focused on the AI surface most security writing has not caught up to yet.
Why Krypteia
The historical krypteia operated unseen. Its purpose was to test defenses from the shadows, probing for weakness where no one was watching and reporting back what it found.
This research approaches AI systems the same way: studying them the way an attacker would, moving through the model, the agent, and the tool layer, and writing up the weaknesses that matter before someone else finds them the hard way.
What We Cover
Every layer of the AI stack has its own attack surface. Writing about just the LLM is like covering only the front door while ignoring every window. The research spans the full spectrum.
Large Language Models
System prompt extraction, jailbreaking, guardrail bypass, alignment manipulation, output steering, and adversarial prompt construction.
AI Agents
Tool exploitation, permission escalation, MCP bridge attacks, memory poisoning, and multi-step kill chains through autonomous systems with real-world access.
RAG Pipelines
Vector database poisoning, retrieval context manipulation, document injection, and upstream training data corruption that propagates through the entire stack.
AI Chatbots
Business logic bypass, policy override attacks, data exfiltration through conversation, PII leakage, and multi-turn social engineering at scale.
ML Pipelines
Model extraction, training data poisoning, adversarial input generation, evasion techniques, and supply chain attacks on model dependencies.
AI-Powered Applications
End-to-end testing of any application with AI components. API integrations, workflow automation, and the gaps between traditional software and AI layers.
The Operator
The ancient krypteia operated unseen. This practice keeps the tradition: the work leads, not the persona. One operator, passionate about AI and what it makes possible when combined with offensive security, studying the question from both sides: what AI can do to security, and what security can learn from AI.
The same operator designs the hackbots, runs the research, and verifies every brief before it publishes.
Krypteiasec.com is an independent AI security research publication: daily agentic-AI threat intelligence, guides, and hands-on research. Every brief is agent-drafted by the autonomous pipeline and verified by a human before it ships.
Why This Exists
The gap between AI deployment speed and AI security understanding is the largest unaddressed risk in enterprise technology right now. Most organizations deploying AI have never seen it adversarially tested, and most security teams have not been trained on how these systems actually fail.
This research exists to close that gap: explaining how agentic AI systems break, in enough technical depth that a security professional or an AI engineer can act on it, published daily as the field moves.
The Coverage Keeps Growing
Every AI system deployed today should be understood adversarially before it ships. Not through a checklist, but through the same probing, adaptive thinking an attacker would bring, explained clearly enough for anyone building or defending these systems to use.
The guides, the course, and the daily briefs keep expanding as the field moves: new attack techniques, new frameworks, new incidents worth studying. Open knowledge makes the whole field stronger, so the research and any tooling that comes out of it are published here, not gated behind a pitch.
We study how AI breaks AI, so you can build AI that holds up.
What We Stand For
Offensive Mindset
Think like an attacker. The best defenses are built by those who understand how systems actually break, not how they are supposed to work.
Open Research
Security through obscurity fails. The research is published here daily, and tooling is released as it reaches public readiness. Open knowledge makes the entire ecosystem stronger.
AI-Native Testing
AI vulnerabilities are semantic. They live in meaning, not in bytes. The only thing that can probe meaning at scale is another AI. Krypteia builds that AI.