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SECURING AI-ASSISTED
APPLICATIONS AT SPEED

AI copilots and agents are writing real production code today.
But traditional AppSec approaches weren’t built for this new reality.

Download this whitepaper to learn how
AIAST™ (AI Application Security Testing)
helps teams secure AI-enabled applications across APIs,
workflows, and CI/CD pipelines.

Why This Matters

AI is accelerating development velocity - but it’s also expanding the attack surface. Most security programs still rely on late-stage scanning and noisy findings. In modern CI/CD environments, that model breaks down fast.

The result:

Insecure output handling, data leakage, and supply-chain risks can allow attackers to:

Logic flaws slip into production

APIs evolve faster than governance

Developers lose trust in security tools

Real risk compounds over time

What You’ll Learn Inside

This whitepaper covers:

How AI-generated code introduces new application security gaps

Why legacy scanners miss workflow and logic-level abuse

The growing risk across APIs and undocumented endpoints

How Bright’s AIAST™ approach validates what’s real

Best practices for continuous security in AI-driven pipelines

Why Bright

Bright Security is leading the shift toward validation-driven AppSec.

Bright helps teams:

Continuously test web apps and APIs

Reduce false positives with real exploit validation

Catch business logic abuse, traditional tools miss

Secure AI-enabled applications without slowing engineering

Trusted by global enterprises including

Trusted by global enterprises including

Trusted by global enterprises including

Gadi Bashvitz

Co-Founder & CEO

Bar Hofesh

Co-Founder & CTO

Shoham Cohen

Co-Founder & COO

Eyal Dror

CMO

Gadi Bashvitz

Co-Founder & CEO

Bar Hofesh

Co-Founder & CTO

Shoham Cohen

Co-Founder & COO

Eyal Dror

CMO

Bright RSAC Conference

Ready to secure AI-assisted
development with confidence?

Learn more: https://brightsec.com