Comparison · Anzenna vs. Traditional DLP
Beyond the block.DLP guards the data. Anzenna understands the human.
Traditional DLP enforces rules on content. Anzenna is an agentless insider risk platform that reasons over behavior, identity, and context across 130+ sources, catching the authorized-but-risky activity rules can't see.
Where DLP stops, Anzenna keeps reasoning.
Traditional Data Loss Prevention watches content against static rules. It can't tell a normal Tuesday from an exfiltration in progress. Anzenna reasons over behavior, identity, and context across your whole stack, so authorized misuse, negligence, and compromised accounts surface before they become a breach.
| Capability | Anzenna | Traditional DLP |
|---|---|---|
| Deployment model | Agentless. Live across 130+ sources in minutes | Endpoint agents + network proxies, months to roll out |
| What it watches | Identity, SaaS, endpoint, data & behavior, unified | Content rules on data in motion / at rest |
| Understands intent & behavior | ✓ | ✗ |
| Catches authorized-but-risky activity | ✓ | ✗ |
| Behavioral baselines per person & peer group | ✓ | ✗ |
| Full investigation, not just a blocked event | ✓ | ✗ |
| Covers AI / shadow-app & identity threats | ✓ | ✗ |
| Alert fatigue | 90% fewer alerts; analysts review decisions | High false-positive volume, manual triage |
| Auto-remediation with audit trail | ✓ | Block-only, limited context |
The case for reasoning.
What changes when insider risk is understood, not just blocked. Composite figures from production deployments across the last twelve months.
90%
Fewer alerts surface to analysts. Signal without the shouting.
130+
Integrations, agentless and ready. From Okta to GitHub, M365 to Snowflake.
<2 min
Median time from signal to a complete case file, with all evidence gathered and ready for review.
72%
Of tickets auto-remediated or auto-escalated. Analysts review decisions, not haystacks.
FAQ
Honest answers.
We already have a DLP deployment. Isn't that enough?+
DLP focuses on data classification and the risks tied to it. Insider risk is broader. It's about rapidly detecting risky behavior across 15+ vectors including SaaS, identity, endpoint, and phishing. Your DLP won't catch a malicious browser extension an employee accidentally installed, or a departing salesperson downloading the whole customer database within their authorized access. Anzenna also integrates with your existing DLP to enhance its value.
What makes Anzenna different from traditional DLP?+
Existing solutions are agent-based and focus on data-sharing risk, which adds operational complexity and cost. Anzenna is agentless, sets up in minutes, and reasons over behavior and intent across heterogeneous systems, surfacing insights no siloed tool can produce, for malicious, accidental, and compromised insiders alike.
Does Anzenna replace our DLP, or work alongside it?+
Either. Anzenna can consolidate UEBA, SaaS security, and DLP into one platform, or integrate with your existing DLP to tap into already-defined classifications and enable scalable, self-service remediation that takes load off the SOC.
How long does it take to get value?+
Anzenna is agentless and deploys in minutes, with no agent to roll out and no weeks of configuration. It automatically surfaces the right insights so your team focuses on what matters, without alert fatigue.
Is Anzenna itself secure?+
Yes. Anzenna uses read-only access to metadata only, is revocable by the customer at any time, and is SOC 2 Type II certified and Microsoft 365 security certified, including an independent compliance assessment and pentest by Microsoft.
See what your DLP misses.
Thirty minutes. Your environment. No slides.