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Top 4 Deception Technology Software Companies (August 2026)

As of August 2026, Latka tracks 4 deception technology software companies. They have combined revenues of $28.2M and employ 174 people. They have raised $12.2M.

Every company below sells deception technology software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Deception Technology Software Companies do

Deception Technology Software is a cybersecurity solution designed to mislead cybercriminals by creating decoy environments that mimic real assets within an organization's network. By implementing a variety of traps, these systems can detect and analyze threats attempting to infiltrate the network, allowing security teams to take proactive measures against potential attacks. The primary use cases for deception technology include threat detection, threat intelligence gathering, and incident response. These systems deploy realistic decoys that entice attackers, enabling organizations to identify vulnerabilities and understand attacker methodologies. Common users of this technology include IT security teams, incident response teams, and cybersecurity analysts, who rely on its capabilities to strengthen their overall security posture.

Companies
4
Revenue
$28.2M
Funding
$12.2M
Employees
174

Filters

Sorting: Highest -> Lowest

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Top Deception Technology Software Companies by revenue

Showing 4 of 4 companies ranked by annual revenue.

1Morphisec logo
Morphisec

Boston, Massachussetts, Israel

Developer of a cyber threat prevention software designed to reinvent end-point security. The company's threat prevention software exploits advanced threat tactics like deception, modification and polymorphism to conceal vulnerabilities in applications, web browsers and OS's and traps any attempts at access, turning the end-points into a line of defense, enabling companies to neutralize attacks at the moment they happen, no matter what form they take.

Revenue
$21.6M
Year founded
2014
Team size
110
2Allure Security logo
Allure Security

Watertown, Connecticut, United States

Account Takeover Fraud costs businesses nearly 7 Billion a year. We address the root cause. Our AI catches the scams that other vendors miss by visually examining millions of sites every day to detect online impersonation of your brand. Our solution finds credential theft (phishing), identity theft, payment data theft, personal information theft, and content re-publishing; and responds to mitigate the risk before your customers and your brand become victims. Our unique deception technology takes the fight back to the scammers. We stop them in their tracks by injecting realistic decoy data right into their attack sites. That breaks the scammers’ business model and helps to expose their real identities. Allure also provides best-in-class traditional responses via automated takedowns and blocklisting and a through our seasoned takedown team. Head to our blog for more information about account takeover fraud, cybersecurity trends, and how to protect your customers from the bad guys: https://bit.ly/34fLRae

Revenue
$6.1M
Year founded
2011
Funding
$12.2M
Team size
55
Growth
86.89%
3Thinkst Canary logo
Thinkst Canary

United States

Most companies find out way too late that they have been breached. Even with millions of dollars invested in security, the average company only finds out they've been hacked after about 200 days! Canary Changes This. Most security solutions are needlessly complex, demand you change your focus to make them the center of your universe. Canary Changes This. Canaries can be deployed in minutes (even on complex networks) and are immediately useful. We've helped hundreds of companies around the globe discover when their other controls have failed. We can help you too. Canary is built with love by the folks at Thinkst, who have decades of experience in offensive cyber security research. We know what works, what doesn't and what burns defenders time while adding 0-value. Canaries are deployed (and loved) all over the world. From the networks of billion dollar Silicon Valley darlings to the networks of Nuclear Research Agencies. From universities in Australia to aquariums in the US Midwest, the Canaries happily serve, always vigilant.

Revenue
$440K
Year founded
2010
Team size
4
4Aves Netsec logo
Aves Netsec

Espoo, Finland

Developer of a cyber deception system designed to reduce cyber threats. The company's system facilitates countering of advanced cyber attacks and helps enterprises to capture, observe and mitigate bad actors in their internal network and it adds a new layer of security into the network, which robs the attacker from the ability to functions, enabling enterprises to understand attacker motives, build risk profiles and quantify attack impacts and subsequently improve their security posture.

Revenue
$161.1K
Year founded
2014
Team size
5

Frequently asked questions about Deception Technology Software Companies

How many deception technology software companies are there?

Latka tracks 4 deception technology software companies with reported revenue. Together they generate $28.2M in annual revenue and employ 174 people.

Which deception technology software company is the largest?

Morphisec is the largest, with $21.6M in annual revenue, founded in 2014.

How much revenue does a typical deception technology software company make?

The average deception technology software company in this list makes $7.1M a year, across 4 companies with reported revenue.

Who are the leading Deception Technology software vendors?

Ranked by annual revenue, the leaders are Morphisec, Allure Security, Thinkst Canary and Aves Netsec.

How much funding have deception technology software companies raised?

The 4 deception technology software companies tracked here have raised $12.2M in disclosed funding between them.

Related Security Software categories

Inclusion Criteria

- Provides the capability to create realistic decoy assets that mimic legitimate network components. - Enables detection of unauthorized access attempts through these deceptive traps. - Supports integration with existing security tools and workflows for enhanced visibility and response. - Offers analytics and reporting features to gain insights into attack patterns and threat actor behavior. - Not just for monitoring; must actively engage attackers to gather intelligence and improve defenses.