Oktsec vs funded competitors

Twelve 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 188 ML-based LLM-based
Works without LLM
Runtime interception (block) Scan only
Tamper-evident audit trail SHA-256 + Ed25519
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 threat intel (optional) Async, budget controls 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
Every funded competitor uses AI/ML for detection. All are cloud SaaS. None monitor CLI operations. None are open source.

Comparison based on publicly available information as of March 2026.

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 188 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
A monitoring dashboard tells you a request was slow. Oktsec tells you an agent tried to read /etc/passwd and blocks it before execution.

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.

Without Oktsec

Unprotected stack

1 Agent reads .env via CLI tool
2 Sends AWS_SECRET_ACCESS_KEY via MCP tool call
3 Credential exfiltrated to external endpoint
4 No log, no alert, no trace
Credential leaked. Zero forensic trail.
With Oktsec

Protected stack

1 Agent reads .env via CLI tool
2 Hooks intercept the read operation
3 CRED-003 rule triggers — BLOCKED
4 Webhook alert sent to Slack, full audit entry written
Blocked at boundary. Full audit trail.

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
38 cybersecurity M&A deals in January 2026 alone. $870M+ in acquisitions in 3 months. Every major platform vendor is buying AI security. None have built MCP-native solutions.

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