The AI Security Layer for autonomous agents: monitor every tool call, enforce granular permissions, detect prompt injection, and keep an append-only audit trail. Part of our unified platform with API security, AI gateway, and verification engine.
Autonomous agents face unique security challenges. G8KEPR protects against all of them.
Attackers craft prompts that override system instructions and coerce the agent into unauthorized tool calls. Pattern detection on tool arguments runs at step 5 of the pipeline.
A retrieved document or API response contains instructions targeting the LLM. IndirectInjectionScanner runs on every tool response before it reaches the agent context.
A previously-approved tool quietly mutates its description mid-session to weaponize behavior. SHA-256 hashes are pinned at tools/list and verified on every tools/call.
Agent tries to invoke a tool, path, or argument outside its permission scope. Per-tool RBAC, MFA gates for sensitive tools, and parameter-level constraints enforce least privilege.
Subprocess tool tries to fork-bomb, signal the host, or spawn a shell. Stdio MCP servers the proxy launches get OS-level limits: rlimits, setsid() process-group isolation, best-effort no-new-privileges, and no shell.
Tool calls from multiple sessions individually score below threshold but jointly cross it. Cross-session correlation analyzer ties activity across users, IPs, and 24-hour windows.
Zero code changes to the agent or MCP server. Target: Sub-5ms gateway proxy overhead on cached, single-region paths.
API Security + MCP Security + AI Gateway + Verification Engine — unified protection for autonomous agents
Every MCP tool call passes through G8KEPR's security layer. Validate permissions, check arguments, detect anomalies, and log everything before execution.
Protect the APIs your agents call. Rate limiting, JWT auth, threat detection, and WAF protection for all external API interactions.
Route your agent's LLM calls through multiple providers. Automatic failover, cost tracking, and provider-agnostic integration.
Constraint, grounding, structural, and integrity checks on every agent output. Real-time enforcement with staged rollout; BLOCK-capable on selected critical paths.
Not in Anthropic's MCP spec. Not in API gateways. Not in WAFs. Platform-level additions built for autonomous agents.
Stdio MCP servers launched by the proxy run under hardened process limits: RLIMIT_NPROC/NOFILE/AS/FSIZE (the launch aborts if one can't be set), setsid() process-group isolation, a best-effort no-new-privileges and ambient-capability clear via prctl() on Linux, a scrubbed environment, and no shell: only allowlisted interpreters, with inline-code flags rejected. Network egress is not restricted.
SHA-256 hash of every tool definition pinned at tools/list. On every tools/call, the cached definition is re-hashed and compared. Drift raises MCPRugPullDetectedError, blocks execution, and publishes a CRITICAL event to ThreatEventBus.
Statistical, not threshold-based. Z-score > 3.0 against per-hour time-of-day baselines. 4 overlapping sliding windows (1m/5m/15m/1h). Anomaly classification (spike/degradation/sustained) and progressive recovery (10→25→50→100%).
Findings from all four pillars land on one threat-event bus. A compound correlator groups them in 5-minute windows by correlation ID and by organization + client IP, and raises one incident when they match a known multi-stage pattern: a prompt injection at the gateway plus an SSRF probe and a path traversal at the API from the same client become a single critical Lethal Trifecta finding.
HMAC-SHA256 hash chain on authentication and domain events (since 2026-09-13), each entry signing the previous. Three verification levels (full chain / single entry / last-N). Mapped to SOC 2 Type II CC7.2, HIPAA §164.312(b), and FedRAMP AU-9 (a control mapping, not an attestation).
Cross-session attack detection: 6-dimension risk score (max 110) across tool sensitivity, data volume, burst, denials, prior detections, and tool diversity. Catches coordinated multi-user attacks and 24h slow-and-low patterns.
Every pillar publishes its findings to one threat event bus. The compound correlator joins findings on the same request by correlation ID, and separate requests from one client by organization + client IP.
mcp_tool_calls with its correlation ID • Compound findings link every contributing findingDefine exactly what each agent can do. Create policies per agent, per tool, or per environment. Enforce least-privilege access automatically.
Assign roles to agents with predefined permission sets
Control exactly which tools each agent can access
Different policies for dev, staging, and production
Track changes, rollback policies, maintain audit history
{
"agent": "research-assistant",
"version": "1.0",
"rules": [
{
"tool": "read_file",
"allow": true,
"paths": ["/data/*", "/reports/*"]
},
{
"tool": "write_file",
"allow": true,
"paths": ["/output/*"],
"maxSize": "10MB"
},
{
"tool": "execute_code",
"allow": false,
"reason": "Not permitted for this agent"
},
{
"tool": "api_request",
"allow": true,
"domains": ["api.example.com"],
"rateLimit": "100/hour"
}
],
"audit": {
"logAll": true,
"alertOnDeny": true
}
}G8KEPR integrates seamlessly with popular AI agent frameworks and MCP servers
Secure MCP servers used with Claude Desktop. Monitor tool calls and enforce permissions.
View Integration →Add security to LangChain agents. Intercept tool calls and validate permissions automatically.
View Integration →Build custom agents with our SDK. Full MCP security support for any agent architecture.
View SDK Docs →Add MCP security to your AI agents in minutes
from g8kepr import G8KEPR
from mcp import MCPServer
# Wrap your MCP server with G8KEPR security
server = MCPServer(tools=[read_file, write_file, api_request])
secure_server = G8KEPR(
server,
api_key="your-api-key",
policies="agents/research-assistant.json"
)
# All tool calls are now secured automatically
# - Permissions validated before execution
# - Arguments sanitized and type-checked
# - Full audit trail maintained
secure_server.start()Secure any type of autonomous agent
Secure agents that read/write files, execute code, and interact with git. Prevent unauthorized file access and code execution.
Protect agents that search the web, query databases, and aggregate data. Control which sources they can access.
Secure agents that access CRM, send emails, and process refunds. Prevent unauthorized customer data access.
Every MCP tool call written to the append-only audit log. Pre-built mappings to 12 compliance frameworks with automated assessment, plus 8 reference catalogs.
"-Ready" / "aligned" / "controls implemented" reflect capability posture, not third-party attestation. SOC 2 Type II, HIPAA, ISO 27001 certifications pending external audit.
Learn how to secure your AI agents with proper permission policies and monitoring.
Read Article →Protect your agents from prompt injection attacks with real-time detection.
Read Article →Maintain SOC2 and GDPR compliance with comprehensive audit trails.
Read Article →10,000 requests per month free. Scale with paid plans starting at $399/mo.