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Home Artificial Intelligence

Cycode Builds On Shift to AI™ with Agentic Workflows: Agents Now Act the Moment Risk Appears Across the ADLC

July 28, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 5 mins read
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SAN FRANCISCO, July 28, 2026 (GLOBE NEWSWIRE) — Cycode, the leade i Age tic Developme t Secu ity, today a ou ced Age tic Wo kflows, a ew capability that puts AI age ts to wo k detecti g, p io itizi g, a d fixi g isks the i sta t they appea , i side bou da ies secu ity teams co t ol. Age tic Wo kflows adva ce the ope ati g model f om huma -d ive a d age t-assisted to age t-d ive a d huma -co t olled.

Developme t moves at machi e speed. Now secu ity does too.

AI c eates isk faste tha a y huma -d ive secu ity p ocess ca ma age it. Mo e code, ew attack su faces, ew classes of AI-specific vul e abilities, a d a sh i ki g wi dow betwee disclosu e a d exploit have made legacy ope ati g models fo secu ity u sustai able.

Cycode Age tic Wo kflows cha ge the ope ati g model. A secu ity team defi es a wo kflow o ce: the eve ts that t igge it, the seque ce of age t actio s it u s, a d the co fide ce th esholds a d co t ols that gove each step. F om the o , wo kflows u the i sta t t igge i g eve ts occu , whethe that is a ew c itical CVE i a c ow -jewel applicatio , a missed SLA o a exploitable fi di g, o a high- isk violatio a develope has ig o ed. Secu ity teams dete mi e which actio s p oceed auto omously a d which equi e huma eview.

“Risk ow moves at machi e speed while secu ity stays bottle ecked at huma speed, a d o team ca hi e its way out of that gap. Waiti g fo a pe so to otice each isk a d sta t each espo se is o lo ge a viable way to ope ate,” said Lio Levy, co-fou de a d CEO of Cycode. “Age tic Wo kflows emove that co st ai t without emovi g co t ol. Age ts t iage a d emediate the mome t isk appea s, a d secu ity teams set the scope a d the bou da ies of auto omy. This is how secu ity fi ally becomes as age tic as the developme t it p otects: age t-d ive a d huma -co t olled.”

F om auto omous vul e ability espo se to backlog bu dow s, age ts ca y the load

To fast-t ack auto omous isk ma ageme t, Cycode offe s a lib a y of p e-built templates that secu ity teams ca use as-is o tu e to the p og am’s ow scope a d co t ol equi eme ts. Templates cove use cases fo auto omous t iagi g a d emediatio , bu i g dow backlogs, SLA escalatio , exceptio ma ageme t, a d co tai e emediatio .

Fo example, the exceptio ma ageme t template t igge s whe develope s ig o e high- isk CVEs with k ow exploits. The cha ge i status f om “ope ” to “ig o ed” t igge s exploitability a alysis. If the outcome of the a alysis is o exploitability, the age t ecomme ds accepti g the develope exceptio . Howeve , if the a alysis co fi ms exploitability with high co fide ce, the wo kflow ca eope the vul e ability, depe di g o how the team has scoped the wo kflow.

This is just o e example of the ew ope ati g model: secu ity that u s at machi e speed the mome t a isky eve t occu s, scoped a d co t olled by huma expe ts. This is how secu ity scales with age tic developme t.

See Age tic Wo kflows at Black Hat USA

Age tic Wo kflows a e i ea ly access. To see them i actio at Black Hat USA 2026 i Las Vegas, schedule time with the team at https://cycode.com/eve t/black-hat-usa-2026/.

About Cycode

Cycode is the leade i Age tic Developme t Secu ity that secu es AI developme t f om p ompt to u time. Th ough u ifyi g co t ol, co text, a d auto omy i a si gle platfo m, Cycode co ti uously ide tifies isk ac oss the AI developme t lifecycle, gove s the AI tools develope s use, co elates co text ac oss the e ti e softwa e facto y, a d deploys a d ma ages age ts to p eve t isk at AI speed.

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