Not an EDR. Pairs with one. Packetman saysWelcome to the compare page. I'm Packetman. The question this page answers is the one every security buyer asks first: "is this replacing something I already pay for?" The honest answer is no, and we are explicit about it. DataStun pairs with EDR — it is not EDR. EDR answers process-behavior questions; we answer network-attribution questions; senior teams want both because they are different questions about different evidence. The page below is the side-by-side: what EDR catches that we do not, what we catch that EDR misses, and the combined picture when both are running. We then handle the same question against three other categories that buyers sometimes confuse us with — NDR, DLP, and NGFW or SASE. Each gets a brief is or isn't statement so the budget conversation lands on the right line item. We do not name specific competitor vendors anywhere on the page; the point is category positioning, not competitive sniping. Iris Locke's signature move from the voice guide is preserved: EDR tells me a process behaved suspiciously, DataStun tells me where its traffic went, which executable on disk made the call, and how many bytes left.

The first question every security buyer asks: “does this replace something I already pay for?” Honest answer: no. EDR catches process-behavior anomalies; DataStun catches network-attribution anomalies. Different evidence, different questions, complementary catches. Senior teams run both.

What this page is

The category positioning answer. Side-by-side with EDR, plus brief is / isn’t statements against NDR, DLP, and NGFW / SASE so the budget conversation lands on the right line item up front. We do not name specific competitor vendors — the point is what the categories are, not which vendor is “wrong.”

vs EDR — the side-by-side

EDR is the bigger category and the more common buyer confusion. The clean version of the comparison:

Endpoint Detection & Response

What EDR is best at

“Did a process on this machine behave suspiciously? Was there malware in memory? Was the kernel exploited?”

  • Process-behavior anomaly detection (parent-child trees, syscall patterns, code injection)
  • File-system-level malware detection (signature + heuristic + ML)
  • Memory-resident threat detection (in-memory injection, fileless malware, hollowing)
  • Kernel exploit + privilege escalation detection
  • Ransomware behavior signatures (mass-encryption, shadow-copy deletion)
  • Process containment + automated response (kill, isolate, quarantine)
  • Forensic timeline replay across the file system, registry, and process tree
vs.
Endpoint Network Observability

What DataStun is best at

“Where is this machine’s traffic going? Which executable made the call? How many bytes left? What is the destination’s reputation?”

  • Per-flow destination attribution (executable + PID + bytes + timing)
  • Outbound destination reputation grading (A+ through F) at flow-open
  • Internet-exposed services catch (database / RDP / SMB on the public internet)
  • AI-vendor governance — volume by provider, by machine, by department
  • Data-sovereignty rollup — bytes by destination country, by tag
  • Cross-fleet executable drift, beaconing patterns, hash divergence
  • Multi-source executable verdict (signed publisher / NSRL / MalwareBazaar / VirusTotal)

Why senior teams run both

“EDR tells me a process behaved suspiciously. DataStun tells me where its traffic went, which executable on disk made the call, and how many bytes left. Different questions. Senior teams want both answers.”

EDR sees the process side of an incident: the parent that spawned the bad child, the syscall pattern that looked like injection, the registry key the malware tried to plant. DataStun sees the network side: the destination IP the process beaconed to, how many bytes left for it, what other machines on the fleet talked to the same destination, and whether the destination is on a public threat-intel list.

The combined timeline is the picture neither tool alone can build: process X spawned process Y on machine A · process Y opened a TLS session to destination D · destination D is grade-F on rep · process Y is unsigned and has appeared on three other machines in the last 48 hours. EDR’s evidence answers the first half; ours answers the second.

The agent is engineered specifically to live next to a real EDR — small footprint, no resource competition, no overlapping kernel hooks. See the resource footprint →

vs NDR · DLP · NGFW / SASE

Three other categories buyers sometimes confuse us with. Each gets a brief is / isn’t statement so the conversation lands on the right line item.

vs NDR

Network Detection & Response

Is An agent-resident endpoint network observability surface. Each machine reports its own outbound flows with process attribution. Isn’t A network-tap or SPAN-port box that watches all traffic on a wire. NDR sees east-west traffic the agent can’t (between machines that aren’t enrolled); the agent sees per-process attribution NDR can’t (which executable opened the session).
vs DLP

Data Loss Prevention

Is A volume + attribution layer. We can prove bytes left for a destination in country X. We do not know what was in those bytes. Isn’t A content-inspection product. We never decrypt TLS, never inspect payloads, never run pattern-match rules over file content. For “did we leak this specific document?” the answer is a real DLP — we are intentionally not one. Why →
vs NGFW / SASE

Next-gen firewall, secure access edge

Is An endpoint-resident enforcement layer (OS firewall integration: WFP on Windows, ipset / iptables on Linux, pf on macOS). Goes wherever the laptop goes. Isn’t A perimeter or cloud-edge box that the user’s traffic has to flow through. SASE / NGFW are the “route everything through our cloud” pattern; the agent enforces locally regardless of where the user sits or which network they’re on.

The four categories together are the layered picture: NDR reads the wire, EDR reads the process tree, NGFW / SASE enforces at the perimeter or cloud edge, DataStun reads & enforces at the endpoint. Each catches what the others can’t.

vs a static blocklist — stale on arrival vs live

The other common way to refuse bad destinations is a list you load into a firewall, or a feed you subscribe to and reload on a schedule. Here is why that loses ground the moment it is installed — and what we do instead. As everywhere on this page, the comparison is to the approach, not to any one vendor.

The set-and-forget list

A static blocklist

“Load the known-bad addresses into the firewall, reload on a schedule.”

  • A new dangerous address appears about every minute — a list reloaded weekly is already describing an internet that moved on.
  • The whole bad internet is too heavy to carry: load it all and you slow the machine; trim it and you miss things.
  • When a blocked address goes quiet, the list still carries it — and never carries the fresh address the same actor just moved to.
  • Protects you from where attackers used to be.
vs.
DataStun — live

Always current, follows the threat

“Refuse the worst everywhere instantly; grade everything else the moment a device reaches for it.”

  • The worst offenders are refused on every device from the moment you turn it on — a small, stable core that carries no weight.
  • Grading runs around the clock, so your protection matches today’s internet, not last month’s.
  • When attackers move to fresh addresses to hide, your own traffic surfaces the new one — and it is graded the moment it appears.
  • Protects you from where attackers are now.

vs a virus scanner — one question vs the full background check

A traditional scanner asks one thing: “is this a known virus?” Useful, but it misses two of the ways machines actually get breached. As everywhere on this page, the comparison is to the approach, not to any one vendor.

A virus scanner

“Is this a known virus?”

  • Looks for known-bad files — but most modern malware wears a brand-new disguise, so the exact file has usually never been seen before.
  • Treats a legitimate program as safe — even when it’s an outdated version with a hole attackers are actively exploiting.
  • Hands you a yes / no with little explanation of why.
vs.
DataStun — the full background check

“Is this trustworthy — and is it the open door?”

  • Recognizes the malware family’s tell-tale patterns, catching disguised variants a file list can’t.
  • Flags the trusted-but-outdated software attackers are breaking into today — out of 300,000+ known flaws, the fewer than 1,500 in active use, in red.
  • Every verdict is one number, fully explained — you see exactly why a file is trusted or flagged.

Honest budget framing

Different line items, on purpose

EDR sits on the endpoint-protection budget line. DataStun sits on the network-observability or unified-visibility line — budget categories that often have nothing in them today, because traditional tooling didn’t close the gap between “the firewall logged a packet” and “here is the process on this specific machine that opened that connection, and here is what the destination is.”

Buyers who try to swap EDR for DataStun discover quickly that the process-behavior layer EDR provides isn’t something we attempt to do. Buyers who deploy us alongside their existing EDR see the network attribution layer light up immediately. The pricing is per-agent ($6 / agent / mo on Business and Enterprise) so the line-item is sized to the fleet, not to a per-feature SKU.

If the constraint is total endpoint-agent count (some IT teams cap how many agents land on each machine), the answer is the same: deploy DT on the systems where outbound network attribution matters most — servers, executive laptops, regulated workstations — and let EDR cover the population where process-behavior detection is the higher value.

See the pairing in your own fleet

Sign up free, enroll one agent on a machine that already runs your EDR, and the network-attribution layer lights up in parallel. The question of “does this conflict with our EDR?” has a measurable answer in 24 hours.

Sign up free — pair with your existing EDR See the resource footprint