Enterprise Security for Agentic Workflows, MCP, and Chatbots.
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“Repello’s product helped us identify AI vulnerabilities we never knew existed. It's essential for any enterprise deploying GenAI.”
Pradeep Bhat
Head of Security
“Repello’s rigorous red teaming helped Lyzr move beyond patching vulnerabilities and prove resilience for high-stakes, regulated environments.”
Siva Surendira
CEO at Lyzr
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Gen-AI Risks
AI applications, agentic workflows, and MCP connections create threats that traditional security tools can't detect, let alone stop.
Attackers embed malicious instructions in user inputs or external content sources, manipulating AI systems to leak sensitive data, execute unauthorized commands, or bypass security controls entirely.
Adversaries manipulate AI to bypass safety guardrails and content policies, generating harmful, biased, or policy-violating content that creates compliance violations and reputational damage.
Attackers exploit context windows, RAG pipelines, and MCP integrations through seemingly legitimate queries, extracting PII, intellectual property, and confidential data that evades traditional DLP detection.
Compromised AI agents gain unauthorized control over enterprise systems and workflows, executing unauthorized actions, poisoning decision-making, and triggering cascading failures across multi-agent systems.
Attackers weaponize AI-integrated tools and APIs to perform unauthorized transactions, manipulate connected systems, and generate harmful content at scale: causing financial loss and brand damage.
Attackers trigger infinite loops, abuse token limits, or launch recursive API attacks, draining compute resources, causing system unavailability, and incurring massive cost overruns.
The endpoint gap
Claude Code, Cursor, Codex, Copilot and browser agents can read sensitive files, use credentials, run commands and send data outside your company.
External destination
sync-data.example
This skill tells the agent to collect local data and send it outside your organization.
File opened by agent
~/.aws/credentials
Claude Code accessed a local credential file containing keys that can reach your cloud environment.
MCP server
github-mcp
Approved
v2.3.1
Now running
v2.3.2
The MCP server changed after approval, requested broader permissions and has not been reviewed again.
How we secure AI systems?
Repello follows a proprietary 3 phase framework to provide end to end security for AI systems: Discovery feeds continuous testing, testing results calibrate runtime defenses, and runtime insights improve future testing — creating an integrated security ecosystem.
The Repello platform
Three connected products provide continuous visibility, adversarial testing and runtime protection across your AI environment.
INVENTORYBuild a unified inventory of the agents, models, datasets, tools and connections operating across your production environment.
ARTEMISContinuously uncover real-world vulnerabilities, validate exploitable attack paths and identify what to fix first.
ARGUSApply adaptive controls that monitor AI activity and block malicious inputs, unsafe actions and policy violations in real time.
“Repello's red teaming has found things in our agents that our own testing didn't, specific enough that we shipped fixes straight off their reports.”
“Repello transformed our AI security from reactive patching to proactive defense. We now catch vulnerabilities before they become breaches.”
Latest from Repello
Explore the latest research on securing AI applications, agents and the systems around them.
The Repello platform
See how Repello unifies Workstation Lens, AI inventory, autonomous red teaming and adaptive guardrails to protect your complete AI environment.
