Compare
How Oktsec compares.
Funded MCP security platforms, incumbent acquirers, and open-source tools. Full feature matrix for teams evaluating AI agent runtime security.
Feature Matrix
Oktsec vs funded competitors
Eighteen capabilities that matter for runtime AI agent security. Green checks mean native support, dashes mean not available.
| Capability | Oktsec | Runlayer | Lasso | Operant | Enkrypt |
|---|---|---|---|---|---|
| Open source | $11M (Khosla) | $28M | Funded | Funded | |
| Dual-channel (MCP + CLI) | ✓ | — MCP only | — MCP only | — MCP only | — MCP only |
| Deterministic rules | 217 rules, 16 categories | — ML-based | — LLM-based | — | — |
| Context-aware scanning | <1% FP rate | Undisclosed | Undisclosed | Undisclosed | Undisclosed |
| Works without LLM | ✓ | — | — | — | — |
| Runtime interception (block) | ✓ | ✓ | ✓ | ✓ | — Scan only |
| Session management + AI analysis | ✓ Risk scoring, timeline | — | — | — | — |
| Per-tool egress policies | ✓ 16 presets | — | — | Partial | — |
| Delegation chains | Ed25519 signed | — | — | — | — |
| Tamper-evident audit trail | SHA-256 hash chain | — | — | — | — |
| Scan profiles | ✓ Tool-scoped sensitivity | — | — | — | — |
| Native client integrations | 17+ clients, OpenClaw native | Limited | Limited | Limited | Limited |
| Per-tool financial controls | ✓ | — | — | — | — |
| Open source | ✓ Apache 2.0 | — | — | — | — |
| Self-hosted / on-premise | ✓ | — Cloud SaaS | — Cloud SaaS | — Cloud SaaS | — Cloud SaaS |
| Agent topology graph | ✓ | — | — | — | — |
| LLM verdict escalation | ✓ Async, BYOK | ✓ Inline | ✓ Inline | Varies | Varies |
| One-command setup | 30 seconds | — Enterprise onboarding | — Enterprise onboarding | — Enterprise onboarding | — Enterprise onboarding |
| OWASP Agentic coverage | 7/10 | Undisclosed | Undisclosed | Undisclosed | Undisclosed |
Comparison based on publicly available information as of March 2026.
Why Observability Alone Falls Short
Observability tools watch. Oktsec acts.
Monitoring dashboards and APMs tell you what happened after the fact. Oktsec intercepts before execution and decides whether the call should proceed at all.
| Dimension | Observability (Datadog, etc.) | Oktsec |
|---|---|---|
| When | Post-execution telemetry | Pre-execution interception |
| Action | Alert & notify | Block, quarantine, flag, or pass |
| Detection | Anomaly thresholds, metrics | 217 deterministic rules + NLP + taint tracking |
| Response | PagerDuty / manual triage | Automated verdict in ~1ms |
| Compliance | Log aggregation | SHA-256 hash chain, Ed25519 signatures, SARIF export |
| Monitoring | Traces, spans, metrics | Full tool call capture + agent topology graph |
| AI-specific | Generic (not built for agents) | MCP-native, prompt injection detection, tool-call inspection |
/etc/passwd and blocks it before execution.Scenario
What happens when an agent exfiltrates credentials
A real attack pattern: an AI agent reads your .env file, then tries to send the contents out through an MCP tool call. Here is what happens with and without Oktsec in the loop.
Unprotected stack
.env via CLI toolAWS_SECRET_ACCESS_KEY via MCP tool callProtected stack
.env via CLI toolMarket
The market is consolidating fast.
Major platform vendors are acquiring AI security startups at record pace.
| Acquirer | Target | Amount |
|---|---|---|
| CrowdStrike | SGNL | $740M |
| Palo Alto Networks | Koi Security | ~$400M |
| Check Point | Lakera | ~$300M |
| SentinelOne | Prompt Security | n/d |
| Proofpoint | Acuvity | n/d |
| Snyk | Invariant Labs | n/d |